SYMBOL INDEX (599 symbols across 58 files)

FILE: C++/lbp/histogram.cpp
  function Mat (line 81) | Mat lbp::histogram(const Mat& src, int numPatterns) {
  function Mat (line 88) | Mat lbp::spatial_histogram(const Mat& src, int numPatterns, const Size& ...
  function Mat (line 95) | Mat lbp::spatial_histogram(const Mat& src, int numPatterns, int gridx, i...

FILE: C++/lbp/histogram.hpp
  type lbp (line 13) | namespace lbp {

FILE: C++/lbp/lbp.cpp
  function Mat (line 143) | Mat lbp::OLBP(const Mat& src) { Mat dst; OLBP(src, dst); return dst; }
  function Mat (line 144) | Mat lbp::ELBP(const Mat& src, int radius, int neighbors) { Mat dst; ELBP...
  function Mat (line 145) | Mat lbp::VARLBP(const Mat& src, int radius, int neighbors) { Mat dst; VA...

FILE: C++/lbp/lbp.hpp
  type lbp (line 13) | namespace lbp {

FILE: C++/lbp/main.cpp
  function main (line 8) | int main(int argc, const char *argv[]) {

FILE: C++/liveness.cpp
  function sigmoid (line 4) | double sigmoid(double input)
  function Mat (line 10) | Mat DoG(Mat input, double sigma1, double sigma2)
  function Mat (line 29) | Mat LBP(Mat input, vector<int> mapping_r8, vector<int> mapping_r16)
  function svm_node (line 61) | svm_node* Liveness_Feature(Mat img, vector<int> mapping_r8, vector<int> ...
  function Liveness_Predict (line 94) | double Liveness_Predict(Mat img, svm_model* model, double* Feature_Max, ...
  function Train (line 204) | void Train()
  function Test (line 359) | void Test()

FILE: C++/liveness.h
  function class (line 30) | class ThuVisionFaceLiveCheck{

FILE: C++/test.cpp
  function main (line 4) | int main()

FILE: Matlab/liblinear-1.96/blas/blas.h
  type fcomplex (line 12) | typedef struct { float r, i; } fcomplex;
  type dcomplex (line 13) | typedef struct { double r, i; } dcomplex;
  type blasbool (line 14) | typedef int blasbool;

FILE: Matlab/liblinear-1.96/blas/daxpy.c
  function daxpy_ (line 7) | int daxpy_(int *n, double *sa, double *sx, int *incx, double *sy,

FILE: Matlab/liblinear-1.96/blas/ddot.c
  function ddot_ (line 7) | double ddot_(int *n, double *sx, int *incx, double *sy, int *incy)

FILE: Matlab/liblinear-1.96/blas/dnrm2.c
  function dnrm2_ (line 8) | double dnrm2_(int *n, double *x, int *incx)

FILE: Matlab/liblinear-1.96/blas/dscal.c
  function dscal_ (line 7) | int dscal_(int *n, double *sa, double *sx, int *incx)

FILE: Matlab/liblinear-1.96/linear.cpp
  function swap (line 10) | static inline void swap(T& x, T& y) { T t=x; x=y; y=t; }
  function T (line 12) | static inline T min(T x,T y) { return (x<y)?x:y; }
  function T (line 15) | static inline T max(T x,T y) { return (x>y)?x:y; }
  function clone (line 17) | static inline void clone(T*& dst, S* src, int n)
  function print_string_stdout (line 25) | static void print_string_stdout(const char *s)
  function info (line 34) | static void info(const char *fmt,...)
  function info (line 44) | static void info(const char *fmt,...) {}
  class l2r_lr_fun (line 47) | class l2r_lr_fun: public function
  class l2r_l2_svc_fun (line 191) | class l2r_l2_svc_fun: public function
  class l2r_l2_svr_fun (line 355) | class l2r_l2_svr_fun: public l2r_l2_svc_fun
  class Solver_MCSVM_CS (line 456) | class Solver_MCSVM_CS
  function compare_double (line 492) | int compare_double(const void *a, const void *b)
  function solve_l2r_l1l2_svc (line 778) | static void solve_l2r_l1l2_svc(
  function solve_l2r_l1l2_svr (line 996) | static void solve_l2r_l1l2_svr(
  function solve_l2r_lr_dual (line 1223) | void solve_l2r_lr_dual(const problem *prob, double *w, double eps, doubl...
  function solve_l1r_l2_svc (line 1397) | static void solve_l1r_l2_svc(
  function solve_l1r_lr (line 1684) | static void solve_l1r_lr(
  function transpose (line 2049) | static void transpose(const problem *prob, feature_node **x_space_ret, p...
  function group_classes (line 2106) | static void group_classes(const problem *prob, int *nr_class_ret, int **...
  function train_one (line 2181) | static void train_one(const problem *prob, const parameter *param, doubl...
  function model (line 2293) | model* train(const problem *prob, const parameter *param)
  function cross_validation (line 2425) | void cross_validation(const problem *prob, const parameter *param, int n...
  function predict_values (line 2483) | double predict_values(const struct model *model_, const struct feature_n...
  function predict (line 2530) | double predict(const model *model_, const feature_node *x)
  function predict_probability (line 2538) | double predict_probability(const struct model *model_, const struct feat...
  function save_model (line 2580) | int save_model(const char *model_file_name, const struct model *model_)
  type model (line 2635) | struct model
  function get_nr_feature (line 2746) | int get_nr_feature(const model *model_)
  function get_nr_class (line 2751) | int get_nr_class(const model *model_)
  function get_labels (line 2756) | void get_labels(const model *model_, int* label)
  function get_w_value (line 2764) | static inline double get_w_value(const struct model *model_, int idx, in...
  function get_decfun_coef (line 2793) | double get_decfun_coef(const struct model *model_, int feat_idx, int lab...
  function get_decfun_bias (line 2800) | double get_decfun_bias(const struct model *model_, int label_idx)
  function free_model_content (line 2810) | void free_model_content(struct model *model_ptr)
  function free_and_destroy_model (line 2818) | void free_and_destroy_model(struct model **model_ptr_ptr)
  function destroy_param (line 2828) | void destroy_param(parameter* param)
  function check_probability_model (line 2863) | int check_probability_model(const struct model *model_)
  function check_regression_model (line 2870) | int check_regression_model(const struct model *model_)
  function set_print_string_function (line 2877) | void set_print_string_function(void (*print_func)(const char*))

FILE: Matlab/liblinear-1.96/linear.h
  type feature_node (line 8) | struct feature_node
  type problem (line 14) | struct problem
  type parameter (line 24) | struct parameter
  type model (line 37) | struct model
  type model (line 47) | struct model
  type problem (line 47) | struct problem
  type parameter (line 47) | struct parameter
  type problem (line 48) | struct problem
  type parameter (line 48) | struct parameter
  type model (line 50) | struct model
  type feature_node (line 50) | struct feature_node
  type model (line 51) | struct model
  type feature_node (line 51) | struct feature_node
  type model (line 52) | struct model
  type feature_node (line 52) | struct feature_node
  type model (line 54) | struct model
  type model (line 55) | struct model
  type model (line 57) | struct model
  type model (line 58) | struct model
  type model (line 59) | struct model
  type model (line 60) | struct model
  type model (line 61) | struct model
  type model (line 63) | struct model
  type model (line 64) | struct model
  type parameter (line 65) | struct parameter
  type problem (line 67) | struct problem
  type parameter (line 67) | struct parameter
  type model (line 68) | struct model
  type model (line 69) | struct model

FILE: Matlab/liblinear-1.96/matlab/libsvmread.c
  type mwIndex (line 11) | typedef int mwIndex;
  function exit_with_help (line 21) | void exit_with_help()
  function fake_answer (line 28) | static void fake_answer(int nlhs, mxArray *plhs[])
  function read_problem (line 57) | void read_problem(const char *filename, int nlhs, mxArray *plhs[])
  function mexFunction (line 188) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/liblinear-1.96/matlab/libsvmwrite.c
  type mwIndex (line 8) | typedef int mwIndex;
  function exit_with_help (line 12) | void exit_with_help()
  function fake_answer (line 19) | static void fake_answer(int nlhs, mxArray *plhs[])
  function libsvmwrite (line 26) | void libsvmwrite(const char *filename, const mxArray *label_vec, const m...
  function mexFunction (line 84) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/liblinear-1.96/matlab/linear_model_matlab.c
  type mwIndex (line 9) | typedef int mwIndex;
  type model (line 26) | struct model
  type model (line 105) | struct model

FILE: Matlab/liblinear-1.96/matlab/linear_model_matlab.h
  type model (line 1) | struct model
  type model (line 2) | struct model

FILE: Matlab/liblinear-1.96/matlab/predict.c
  type mwIndex (line 11) | typedef int mwIndex;
  function print_null (line 19) | int print_null(const char *s,...) {}
  function read_sparse_instance (line 24) | void read_sparse_instance(const mxArray *prhs, int index, struct feature...
  function fake_answer (line 52) | static void fake_answer(int nlhs, mxArray *plhs[])
  function do_predict (line 59) | void do_predict(int nlhs, mxArray *plhs[], const mxArray *prhs[], struct...
  function exit_with_help (line 213) | void exit_with_help()
  function mexFunction (line 229) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/liblinear-1.96/matlab/train.c
  type mwIndex (line 13) | typedef int mwIndex;
  function print_null (line 21) | void print_null(const char *s) {}
  function print_string_matlab (line 22) | void print_string_matlab(const char *s) {mexPrintf(s);}
  function exit_with_help (line 24) | void exit_with_help()
  type parameter (line 70) | struct parameter
  type problem (line 71) | struct problem
  type model (line 72) | struct model
  type feature_node (line 73) | struct feature_node
  function do_cross_validation (line 79) | double do_cross_validation()
  function parse_command_line (line 125) | int parse_command_line(int nrhs, const mxArray *prhs[], char *model_file...
  function fake_answer (line 246) | static void fake_answer(int nlhs, mxArray *plhs[])
  function read_problem_sparse (line 253) | int read_problem_sparse(const mxArray *label_vec, const mxArray *instanc...
  function mexFunction (line 341) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/liblinear-1.96/predict.c
  function print_null (line 8) | int print_null(const char *s,...) {return 0;}
  type feature_node (line 12) | struct feature_node
  type model (line 15) | struct model
  function exit_input_error (line 18) | void exit_input_error(int line_num)
  function do_predict (line 45) | void do_predict(FILE *input, FILE *output)
  function exit_with_help (line 175) | void exit_with_help()
  function main (line 186) | int main(int argc, char **argv)

FILE: Matlab/liblinear-1.96/python/liblinear.py
  function print_null (line 42) | def print_null(s):
  function genFields (line 45) | def genFields(names, types):
  function fillprototype (line 48) | def fillprototype(f, restype, argtypes):
  class feature_node (line 52) | class feature_node(Structure):
    method __str__ (line 57) | def __str__(self):
  function gen_feature_nodearray (line 60) | def gen_feature_nodearray(xi, feature_max=None, issparse=True):
  class problem (line 87) | class problem(Structure):
    method __init__ (line 92) | def __init__(self, y, x, bias = -1):
    method set_bias (line 114) | def set_bias(self, bias):
  class parameter (line 129) | class parameter(Structure):
    method __init__ (line 134) | def __init__(self, options = None):
    method __str__ (line 139) | def __str__(self):
    method set_to_default_values (line 149) | def set_to_default_values(self):
    method parse_options (line 162) | def parse_options(self, options):
  class model (line 228) | class model(Structure):
    method __init__ (line 233) | def __init__(self):
    method __del__ (line 236) | def __del__(self):
    method get_nr_feature (line 241) | def get_nr_feature(self):
    method get_nr_class (line 244) | def get_nr_class(self):
    method get_labels (line 247) | def get_labels(self):
    method get_decfun_coef (line 253) | def get_decfun_coef(self, feat_idx, label_idx=0):
    method get_decfun_bias (line 256) | def get_decfun_bias(self, label_idx=0):
    method get_decfun (line 259) | def get_decfun(self, label_idx=0):
    method is_probability_model (line 264) | def is_probability_model(self):
    method is_regression_model (line 267) | def is_regression_model(self):
  function toPyModel (line 270) | def toPyModel(model_ptr):

FILE: Matlab/liblinear-1.96/python/liblinearutil.py
  function svm_read_problem (line 13) | def svm_read_problem(data_file_name):
  function load_model (line 35) | def load_model(model_file_name):
  function save_model (line 48) | def save_model(model_file_name, model):
  function evaluations (line 56) | def evaluations(ty, pv):
  function train (line 85) | def train(arg1, arg2=None, arg3=None):
  function predict (line 171) | def predict(y, x, m, options=""):

FILE: Matlab/liblinear-1.96/train.c
  function print_null (line 11) | void print_null(const char *s) {}
  function exit_with_help (line 13) | void exit_with_help()
  function exit_input_error (line 57) | void exit_input_error(int line_num)
  type feature_node (line 88) | struct feature_node
  type parameter (line 89) | struct parameter
  type problem (line 90) | struct problem
  type model (line 91) | struct model
  function main (line 96) | int main(int argc, char **argv)
  function do_cross_validation (line 135) | void do_cross_validation()
  function parse_command_line (line 176) | void parse_command_line(int argc, char **argv, char *input_file_name, ch...
  function read_problem (line 300) | void read_problem(const char *filename)

FILE: Matlab/liblinear-1.96/tron.cpp
  function T (line 8) | static inline T min(T x,T y) { return (x<y)?x:y; }
  function T (line 12) | static inline T max(T x,T y) { return (x>y)?x:y; }
  function default_print (line 28) | static void default_print(const char *buf)

FILE: Matlab/liblinear-1.96/tron.h
  function class (line 4) | class function
  function class (line 15) | class TRON

FILE: Matlab/libsvm-3.19/java/libsvm/svm.java
  class Cache (line 16) | class Cache {
    class head_t (line 19) | private final class head_t
    method Cache (line 28) | Cache(int l_, long size_)
    method lru_delete (line 41) | private void lru_delete(head_t h)
    method lru_insert (line 48) | private void lru_insert(head_t h)
    method get_data (line 61) | int get_data(int index, float[][] data, int len)
    method swap_index (line 92) | void swap_index(int i, int j)
  class QMatrix (line 130) | abstract class QMatrix {
    method get_Q (line 131) | abstract float[] get_Q(int column, int len);
    method get_QD (line 132) | abstract double[] get_QD();
    method swap_index (line 133) | abstract void swap_index(int i, int j);
  class Kernel (line 136) | abstract class Kernel extends QMatrix {
    method get_Q (line 146) | abstract float[] get_Q(int column, int len);
    method get_QD (line 147) | abstract double[] get_QD();
    method swap_index (line 149) | void swap_index(int i, int j)
    method powi (line 155) | private static double powi(double base, int times)
    method kernel_function (line 167) | double kernel_function(int i, int j)
    method Kernel (line 186) | Kernel(int l, svm_node[][] x_, svm_parameter param)
    method dot (line 204) | static double dot(svm_node[] x, svm_node[] y)
    method k_function (line 226) | static double k_function(svm_node[] x, svm_node[] y,
  class Solver (line 303) | class Solver {
    method get_C (line 324) | double get_C(int i)
    method update_alpha_status (line 328) | void update_alpha_status(int i)
    method is_upper_bound (line 336) | boolean is_upper_bound(int i) { return alpha_status[i] == UPPER_BOUND; }
    method is_lower_bound (line 337) | boolean is_lower_bound(int i) { return alpha_status[i] == LOWER_BOUND; }
    method is_free (line 338) | boolean is_free(int i) {  return alpha_status[i] == FREE; }
    class SolutionInfo (line 342) | static class SolutionInfo {
    method swap_index (line 350) | void swap_index(int i, int j)
    method reconstruct_gradient (line 362) | void reconstruct_gradient()
    method Solve (line 404) | void Solve(int l, QMatrix Q, double[] p_, byte[] y_,
    method select_working_set (line 673) | int select_working_set(int[] working_set)
    method be_shrunk (line 772) | private boolean be_shrunk(int i, double Gmax1, double Gmax2)
    method do_shrinking (line 792) | void do_shrinking()
    method calculate_rho (line 852) | double calculate_rho()
  class Solver_NU (line 897) | final class Solver_NU extends Solver
    method Solve (line 901) | void Solve(int l, QMatrix Q, double[] p, byte[] y,
    method select_working_set (line 910) | int select_working_set(int[] working_set)
    method be_shrunk (line 1022) | private boolean be_shrunk(int i, double Gmax1, double Gmax2, double Gm...
    method do_shrinking (line 1042) | void do_shrinking()
    method calculate_rho (line 1094) | double calculate_rho()
  class SVC_Q (line 1148) | class SVC_Q extends Kernel
    method SVC_Q (line 1154) | SVC_Q(svm_problem prob, svm_parameter param, byte[] y_)
    method get_Q (line 1164) | float[] get_Q(int i, int len)
    method get_QD (line 1176) | double[] get_QD()
    method swap_index (line 1181) | void swap_index(int i, int j)
  class ONE_CLASS_Q (line 1190) | class ONE_CLASS_Q extends Kernel
    method ONE_CLASS_Q (line 1195) | ONE_CLASS_Q(svm_problem prob, svm_parameter param)
    method get_Q (line 1204) | float[] get_Q(int i, int len)
    method get_QD (line 1216) | double[] get_QD()
    method swap_index (line 1221) | void swap_index(int i, int j)
  class SVR_Q (line 1229) | class SVR_Q extends Kernel
    method SVR_Q (line 1239) | SVR_Q(svm_problem prob, svm_parameter param)
    method swap_index (line 1260) | void swap_index(int i, int j)
    method get_Q (line 1267) | float[] get_Q(int i, int len)
    method get_QD (line 1286) | double[] get_QD()
  class svm (line 1292) | public class svm {
    method print (line 1301) | public void print(String s)
    method info (line 1310) | static void info(String s)
    method solve_c_svc (line 1315) | private static void solve_c_svc(svm_problem prob, svm_parameter param,
    method solve_nu_svc (line 1347) | private static void solve_nu_svc(svm_problem prob, svm_parameter param,
    method solve_one_class (line 1398) | private static void solve_one_class(svm_problem prob, svm_parameter pa...
    method solve_epsilon_svr (line 1426) | private static void solve_epsilon_svr(svm_problem prob, svm_parameter ...
    method solve_nu_svr (line 1459) | private static void solve_nu_svr(svm_problem prob, svm_parameter param,
    class decision_function (line 1495) | static class decision_function
    method svm_train_one (line 1501) | static decision_function svm_train_one(
    method sigmoid_train (line 1559) | private static void sigmoid_train(int l, double[] dec_values, double[]...
    method sigmoid_predict (line 1672) | private static double sigmoid_predict(double decision_value, double A,...
    method multiclass_probability (line 1682) | private static void multiclass_probability(int k, double[][] r, double...
    method svm_binary_svc_probability (line 1742) | private static void svm_binary_svc_probability(svm_problem prob, svm_p...
    method svm_svr_probability (line 1823) | private static double svm_svr_probability(svm_problem prob, svm_parame...
    method svm_group_classes (line 1854) | private static void svm_group_classes(svm_problem prob, int[] nr_class...
    method svm_train (line 1935) | public static svm_model svm_train(svm_problem prob, svm_parameter param)
    method svm_cross_validation (line 2172) | public static void svm_cross_validation(svm_problem prob, svm_paramete...
    method svm_get_svm_type (line 2282) | public static int svm_get_svm_type(svm_model model)
    method svm_get_nr_class (line 2287) | public static int svm_get_nr_class(svm_model model)
    method svm_get_labels (line 2292) | public static void svm_get_labels(svm_model model, int[] label)
    method svm_get_sv_indices (line 2299) | public static void svm_get_sv_indices(svm_model model, int[] indices)
    method svm_get_nr_sv (line 2306) | public static int svm_get_nr_sv(svm_model model)
    method svm_get_svr_probability (line 2311) | public static double svm_get_svr_probability(svm_model model)
    method svm_predict_values (line 2323) | public static double svm_predict_values(svm_model model, svm_node[] x,...
    method svm_predict (line 2396) | public static double svm_predict(svm_model model, svm_node[] x)
    method svm_predict_probability (line 2410) | public static double svm_predict_probability(svm_model model, svm_node...
    method svm_save_model (line 2453) | public static void svm_save_model(String model_file_name, svm_model mo...
    method atof (line 2538) | private static double atof(String s)
    method atoi (line 2543) | private static int atoi(String s)
    method read_model_header (line 2548) | private static boolean read_model_header(BufferedReader fp, svm_model ...
    method svm_load_model (line 2661) | public static svm_model svm_load_model(String model_file_name) throws ...
    method svm_load_model (line 2666) | public static svm_model svm_load_model(BufferedReader fp) throws IOExc...
    method svm_check_parameter (line 2711) | public static String svm_check_parameter(svm_problem prob, svm_paramet...
    method svm_check_probability_model (line 2831) | public static int svm_check_probability_model(svm_model model)
    method svm_set_print_string_function (line 2842) | public static void svm_set_print_string_function(svm_print_interface p...

FILE: Matlab/libsvm-3.19/java/libsvm/svm_model.java
  class svm_model (line 5) | public class svm_model implements java.io.Serializable

FILE: Matlab/libsvm-3.19/java/libsvm/svm_node.java
  class svm_node (line 2) | public class svm_node implements java.io.Serializable

FILE: Matlab/libsvm-3.19/java/libsvm/svm_parameter.java
  class svm_parameter (line 2) | public class svm_parameter implements Cloneable,java.io.Serializable
    method clone (line 36) | public Object clone()

FILE: Matlab/libsvm-3.19/java/libsvm/svm_print_interface.java
  type svm_print_interface (line 2) | public interface svm_print_interface
    method print (line 4) | public void print(String s);

FILE: Matlab/libsvm-3.19/java/libsvm/svm_problem.java
  class svm_problem (line 2) | public class svm_problem implements java.io.Serializable

FILE: Matlab/libsvm-3.19/java/svm_predict.java
  class svm_predict (line 5) | class svm_predict {
    method print (line 8) | public void print(String s) {}
    method print (line 13) | public void print(String s)
    method info (line 21) | static void info(String s)
    method atof (line 26) | private static double atof(String s)
    method atoi (line 31) | private static int atoi(String s)
    method predict (line 36) | private static void predict(BufferedReader input, DataOutputStream out...
    method exit_with_help (line 121) | private static void exit_with_help()
    method main (line 130) | public static void main(String argv[]) throws IOException

FILE: Matlab/libsvm-3.19/java/svm_scale.java
  class svm_scale (line 6) | class svm_scale
    method exit_with_help (line 22) | private static void exit_with_help()
    method rewind (line 36) | private BufferedReader rewind(BufferedReader fp, String filename) thro...
    method output_target (line 42) | private void output_target(double value)
    method output (line 58) | private void output(int index, double value)
    method readline (line 80) | private String readline(BufferedReader fp) throws IOException
    method run (line 86) | private void run(String []argv) throws IOException
    method main (line 345) | public static void main(String argv[]) throws IOException

FILE: Matlab/libsvm-3.19/java/svm_toy.java
  class svm_toy (line 8) | public class svm_toy extends Applet {
    class point (line 32) | class point {
      method point (line 33) | point(double x, double y, byte value)
    method init (line 46) | public void init()
    method draw_point (line 114) | void draw_point(point p)
    method clear_all (line 125) | void clear_all()
    method draw_all_points (line 136) | void draw_all_points()
    method button_change_clicked (line 143) | void button_change_clicked()
    method atof (line 149) | private static double atof(String s)
    method atoi (line 154) | private static int atoi(String s)
    method button_run_clicked (line 159) | void button_run_clicked(String args)
    method button_clear_clicked (line 366) | void button_clear_clicked()
    method button_save_clicked (line 371) | void button_save_clicked(String args)
    method button_load_clicked (line 409) | void button_load_clicked()
    method processMouseEvent (line 445) | protected void processMouseEvent(MouseEvent e)
    method paint (line 458) | public void paint(Graphics g)
    method getPreferredSize (line 470) | public Dimension getPreferredSize() { return new Dimension(XLEN,YLEN+5...
    method setSize (line 472) | public void setSize(Dimension d) { setSize(d.width,d.height); }
    method setSize (line 473) | public void setSize(int w,int h) {
    method main (line 480) | public static void main(String[] argv)
  class AppletFrame (line 486) | class AppletFrame extends Frame {
    method AppletFrame (line 487) | AppletFrame(String title, Applet applet, int width, int height)

FILE: Matlab/libsvm-3.19/java/svm_train.java
  class svm_train (line 5) | class svm_train {
    method print (line 17) | public void print(String s) {}
    method exit_with_help (line 20) | private static void exit_with_help()
    method do_cross_validation (line 54) | private void do_cross_validation()
    method run (line 92) | private void run(String argv[]) throws IOException
    method main (line 115) | public static void main(String argv[]) throws IOException
    method atof (line 121) | private static double atof(String s)
    method atoi (line 132) | private static int atoi(String s)
    method parse_command_line (line 137) | private void parse_command_line(String argv[])
    method read_problem (line 262) | private void read_problem() throws IOException

FILE: Matlab/libsvm-3.19/matlab/libsvmread.c
  type mwIndex (line 11) | typedef int mwIndex;
  function exit_with_help (line 21) | void exit_with_help()
  function fake_answer (line 28) | static void fake_answer(int nlhs, mxArray *plhs[])
  function read_problem (line 57) | void read_problem(const char *filename, int nlhs, mxArray *plhs[])
  function mexFunction (line 188) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/libsvm-3.19/matlab/libsvmwrite.c
  type mwIndex (line 8) | typedef int mwIndex;
  function exit_with_help (line 12) | void exit_with_help()
  function fake_answer (line 19) | static void fake_answer(int nlhs, mxArray *plhs[])
  function libsvmwrite (line 26) | void libsvmwrite(const char *filename, const mxArray *label_vec, const m...
  function mexFunction (line 84) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/libsvm-3.19/matlab/svm_model_matlab.c
  type mwIndex (line 9) | typedef int mwIndex;
  type svm_model (line 31) | struct svm_model
  type svm_model (line 211) | struct svm_model
  type svm_node (line 216) | struct svm_node
  type svm_model (line 217) | struct svm_model
  type svm_node (line 351) | struct svm_node
  type svm_node (line 351) | struct svm_node
  type svm_node (line 352) | struct svm_node
  type svm_node (line 352) | struct svm_node

FILE: Matlab/libsvm-3.19/matlab/svm_model_matlab.h
  type svm_model (line 1) | struct svm_model
  type svm_model (line 2) | struct svm_model

FILE: Matlab/libsvm-3.19/matlab/svmpredict.c
  type mwIndex (line 11) | typedef int mwIndex;
  function print_null (line 17) | int print_null(const char *s,...) {}
  function read_sparse_instance (line 20) | void read_sparse_instance(const mxArray *prhs, int index, struct svm_nod...
  function fake_answer (line 42) | static void fake_answer(int nlhs, mxArray *plhs[])
  function predict (line 49) | void predict(int nlhs, mxArray *plhs[], const mxArray *prhs[], struct sv...
  function exit_with_help (line 255) | void exit_with_help()
  function mexFunction (line 272) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/libsvm-3.19/matlab/svmtrain.c
  type mwIndex (line 12) | typedef int mwIndex;
  function print_null (line 19) | void print_null(const char *s) {}
  function print_string_matlab (line 20) | void print_string_matlab(const char *s) {mexPrintf(s);}
  function exit_with_help (line 22) | void exit_with_help()
  type svm_parameter (line 56) | struct svm_parameter
  type svm_problem (line 57) | struct svm_problem
  type svm_model (line 58) | struct svm_model
  type svm_node (line 59) | struct svm_node
  function do_cross_validation (line 64) | double do_cross_validation()
  function parse_command_line (line 108) | int parse_command_line(int nrhs, const mxArray *prhs[], char *model_file...
  function read_problem_dense (line 222) | int read_problem_dense(const mxArray *label_vec, const mxArray *instance...
  function read_problem_sparse (line 302) | int read_problem_sparse(const mxArray *label_vec, const mxArray *instanc...
  function fake_answer (line 375) | static void fake_answer(int nlhs, mxArray *plhs[])
  function mexFunction (line 384) | void mexFunction( int nlhs, mxArray *plhs[],

FILE: Matlab/libsvm-3.19/python/svm.py
  function print_null (line 42) | def print_null(s):
  function genFields (line 45) | def genFields(names, types):
  function fillprototype (line 48) | def fillprototype(f, restype, argtypes):
  class svm_node (line 52) | class svm_node(Structure):
    method __str__ (line 57) | def __str__(self):
  function gen_svm_nodearray (line 60) | def gen_svm_nodearray(xi, feature_max=None, isKernel=None):
  class svm_problem (line 87) | class svm_problem(Structure):
    method __init__ (line 92) | def __init__(self, y, x, isKernel=None):
  class svm_parameter (line 111) | class svm_parameter(Structure):
    method __init__ (line 120) | def __init__(self, options = None):
    method __str__ (line 125) | def __str__(self):
    method set_to_default_values (line 135) | def set_to_default_values(self):
    method parse_options (line 155) | def parse_options(self, options):
  class svm_model (line 230) | class svm_model(Structure):
    method __init__ (line 239) | def __init__(self):
    method __del__ (line 242) | def __del__(self):
    method get_svm_type (line 247) | def get_svm_type(self):
    method get_nr_class (line 250) | def get_nr_class(self):
    method get_svr_probability (line 253) | def get_svr_probability(self):
    method get_labels (line 256) | def get_labels(self):
    method get_sv_indices (line 262) | def get_sv_indices(self):
    method get_nr_sv (line 268) | def get_nr_sv(self):
    method is_probability_model (line 271) | def is_probability_model(self):
    method get_sv_coef (line 274) | def get_sv_coef(self):
    method get_SV (line 278) | def get_SV(self):
  function toPyModel (line 293) | def toPyModel(model_ptr):

FILE: Matlab/libsvm-3.19/python/svmutil.py
  function svm_read_problem (line 14) | def svm_read_problem(data_file_name):
  function svm_load_model (line 36) | def svm_load_model(model_file_name):
  function svm_save_model (line 49) | def svm_save_model(model_file_name, model):
  function evaluations (line 57) | def evaluations(ty, pv):
  function svm_train (line 86) | def svm_train(arg1, arg2=None, arg3=None):
  function svm_predict (line 173) | def svm_predict(y, x, m, options=""):

FILE: Matlab/libsvm-3.19/svm-predict.c
  function print_null (line 8) | int print_null(const char *s,...) {return 0;}
  type svm_node (line 12) | struct svm_node
  type svm_model (line 15) | struct svm_model
  function exit_input_error (line 39) | void exit_input_error(int line_num)
  function predict (line 45) | void predict(FILE *input, FILE *output)
  function exit_with_help (line 159) | void exit_with_help()
  function main (line 170) | int main(int argc, char **argv)

FILE: Matlab/libsvm-3.19/svm-scale.c
  function exit_with_help (line 7) | void exit_with_help()
  function main (line 42) | int main(int argc,char **argv)
  function output_target (line 350) | void output_target(double value)
  function output (line 364) | void output(int index, double value)
  function clean_up (line 386) | int clean_up(FILE *fp_restore, FILE *fp, const char* msg)

FILE: Matlab/libsvm-3.19/svm-toy/gtk/callbacks.cpp
  function svm_toy_initialize (line 42) | void svm_toy_initialize()
  function redraw_area (line 61) | void redraw_area(GtkWidget* widget, int x, int y, int w, int h)
  function draw_point (line 69) | void draw_point(const point& p)
  function draw_all_points (line 76) | void draw_all_points()
  function clear_all (line 82) | void clear_all()
  function on_button_change_clicked (line 90) | void
  function on_button_run_clicked (line 98) | void
  function on_button_clear_clicked (line 302) | void
  function on_window1_destroy (line 309) | void
  function gboolean (line 316) | gboolean
  function gboolean (line 327) | gboolean
  function show_fileselection (line 341) | void show_fileselection()
  function on_button_save_clicked (line 357) | void
  function on_button_load_clicked (line 366) | void
  function on_filesel_ok_clicked (line 374) | void
  function on_fileselection_destroy (line 437) | void
  function on_filesel_cancel_clicked (line 443) | void

FILE: Matlab/libsvm-3.19/svm-toy/gtk/interface.c
  function GtkWidget (line 16) | GtkWidget*
  function GtkWidget (line 130) | GtkWidget*

FILE: Matlab/libsvm-3.19/svm-toy/gtk/main.c
  function main (line 10) | int main (int argc, char *argv[])

FILE: Matlab/libsvm-3.19/svm-toy/qt/svm-toy.cpp
  class SvmToyWindow (line 25) | class SvmToyWindow : public QWidget
    type point (line 49) | struct point {
    method QPixmap (line 55) | const QPixmap& choose_icon(int v)
    method clear_all (line 61) | void clear_all()
    method draw_point (line 67) | void draw_point(const point& p)
    method draw_all_points (line 73) | void draw_all_points()
    method button_change_icon_clicked (line 79) | void button_change_icon_clicked()
    method button_run_clicked (line 85) | void button_run_clicked()
    method button_clear_clicked (line 280) | void button_clear_clicked()
    method button_save_clicked (line 284) | void button_save_clicked()
    method button_load_clicked (line 313) | void button_load_clicked()
  function main (line 428) | int main( int argc, char* argv[] )

FILE: Matlab/libsvm-3.19/svm-toy/windows/svm-toy.cpp
  type point (line 48) | struct point {
  function WinMain (line 58) | int WINAPI WinMain(HINSTANCE hInstance, HINSTANCE hPrevInstance,
  function getfilename (line 128) | int getfilename( HWND hWnd , char *filename, int len, int save)
  function clear_all (line 143) | void clear_all()
  function HBRUSH (line 150) | HBRUSH choose_brush(int v)
  function draw_point (line 157) | void draw_point(const point & p)
  function draw_all_points (line 168) | void draw_all_points()
  function button_run_clicked (line 174) | void button_run_clicked()
  function LRESULT (line 372) | LRESULT CALLBACK WndProc(HWND hwnd, UINT iMsg, WPARAM wParam, LPARAM lPa...

FILE: Matlab/libsvm-3.19/svm-train.c
  function print_null (line 9) | void print_null(const char *s) {}
  function exit_with_help (line 11) | void exit_with_help()
  function exit_input_error (line 45) | void exit_input_error(int line_num)
  type svm_parameter (line 55) | struct svm_parameter
  type svm_problem (line 56) | struct svm_problem
  type svm_model (line 57) | struct svm_model
  type svm_node (line 58) | struct svm_node
  function main (line 83) | int main(int argc, char **argv)
  function do_cross_validation (line 122) | void do_cross_validation()
  function parse_command_line (line 161) | void parse_command_line(int argc, char **argv, char *input_file_name, ch...
  function read_problem (line 278) | void read_problem(const char *filename)

FILE: Matlab/libsvm-3.19/svm.cpp
  function T (line 15) | static inline T min(T x,T y) { return (x<y)?x:y; }
  function T (line 18) | static inline T max(T x,T y) { return (x>y)?x:y; }
  function swap (line 20) | static inline void swap(T& x, T& y) { T t=x; x=y; y=t; }
  function clone (line 21) | static inline void clone(T*& dst, S* src, int n)
  function powi (line 26) | static inline double powi(double base, int times)
  function print_string_stdout (line 41) | static void print_string_stdout(const char *s)
  function info (line 48) | static void info(const char *fmt,...)
  function info (line 58) | static void info(const char *fmt,...) {}
  class Cache (line 67) | class Cache
    type head_t (line 81) | struct head_t
  class QMatrix (line 194) | class QMatrix {
  class Kernel (line 202) | class Kernel: public QMatrix {
    method swap_index (line 211) | virtual void swap_index(int i, int j) const	// no so const...
    method kernel_linear (line 231) | double kernel_linear(int i, int j) const
    method kernel_poly (line 235) | double kernel_poly(int i, int j) const
    method kernel_rbf (line 239) | double kernel_rbf(int i, int j) const
    method kernel_sigmoid (line 243) | double kernel_sigmoid(int i, int j) const
    method kernel_precomputed (line 247) | double kernel_precomputed(int i, int j) const
  class Solver (line 393) | class Solver {
    method Solver (line 395) | Solver() {}
    type SolutionInfo (line 398) | struct SolutionInfo {
    method get_C (line 426) | double get_C(int i)
    method update_alpha_status (line 430) | void update_alpha_status(int i)
    method is_upper_bound (line 438) | bool is_upper_bound(int i) { return alpha_status[i] == UPPER_BOUND; }
    method is_lower_bound (line 439) | bool is_lower_bound(int i) { return alpha_status[i] == LOWER_BOUND; }
    method is_free (line 440) | bool is_free(int i) { return alpha_status[i] == FREE; }
  class Solver_NU (line 1009) | class Solver_NU: public Solver
    method Solver_NU (line 1012) | Solver_NU() {}
    method Solve (line 1013) | void Solve(int l, const QMatrix& Q, const double *p, const schar *y,
  class SVC_Q (line 1266) | class SVC_Q: public Kernel
    method SVC_Q (line 1269) | SVC_Q(const svm_problem& prob, const svm_parameter& param, const schar...
    method Qfloat (line 1279) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1296) | void swap_index(int i, int j) const
  class ONE_CLASS_Q (line 1316) | class ONE_CLASS_Q: public Kernel
    method ONE_CLASS_Q (line 1319) | ONE_CLASS_Q(const svm_problem& prob, const svm_parameter& param)
    method Qfloat (line 1328) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1345) | void swap_index(int i, int j) const
  class SVR_Q (line 1362) | class SVR_Q: public Kernel
    method SVR_Q (line 1365) | SVR_Q(const svm_problem& prob, const svm_parameter& param)
    method swap_index (line 1387) | void swap_index(int i, int j) const
    method Qfloat (line 1394) | Qfloat *get_Q(int i, int len) const
  function solve_c_svc (line 1440) | static void solve_c_svc(
  function solve_nu_svc (line 1475) | static void solve_nu_svc(
  function solve_one_class (line 1530) | static void solve_one_class(
  function solve_epsilon_svr (line 1562) | static void solve_epsilon_svr(
  function solve_nu_svr (line 1600) | static void solve_nu_svr(
  type decision_function (line 1641) | struct decision_function
  function decision_function (line 1647) | static decision_function svm_train_one(
  function sigmoid_train (line 1705) | static void sigmoid_train(
  function sigmoid_predict (line 1818) | static double sigmoid_predict(double decision_value, double A, double B)
  function multiclass_probability (line 1829) | static void multiclass_probability(int k, double **r, double *p)
  function svm_binary_svc_probability (line 1893) | static void svm_binary_svc_probability(
  function svm_svr_probability (line 1980) | static double svm_svr_probability(
  function svm_group_classes (line 2014) | static void svm_group_classes(const svm_problem *prob, int *nr_class_ret...
  function svm_model (line 2092) | svm_model *svm_train(const svm_problem *prob, const svm_parameter *param)
  function svm_cross_validation (line 2339) | void svm_cross_validation(const svm_problem *prob, const svm_parameter *...
  function svm_get_svm_type (line 2460) | int svm_get_svm_type(const svm_model *model)
  function svm_get_nr_class (line 2465) | int svm_get_nr_class(const svm_model *model)
  function svm_get_labels (line 2470) | void svm_get_labels(const svm_model *model, int* label)
  function svm_get_sv_indices (line 2477) | void svm_get_sv_indices(const svm_model *model, int* indices)
  function svm_get_nr_sv (line 2484) | int svm_get_nr_sv(const svm_model *model)
  function svm_get_svr_probability (line 2489) | double svm_get_svr_probability(const svm_model *model)
  function svm_predict_values (line 2501) | double svm_predict_values(const svm_model *model, const svm_node *x, dou...
  function svm_predict (line 2577) | double svm_predict(const svm_model *model, const svm_node *x)
  function svm_predict_probability (line 2592) | double svm_predict_probability(
  function svm_save_model (line 2641) | int svm_save_model(const char *model_file_name, const svm_model *model)
  function read_model_header (line 2764) | bool read_model_header(FILE *fp, svm_model* model)
  function svm_model (line 2873) | svm_model *svm_load_model(const char *model_file_name)
  function svm_free_model_content (line 2978) | void svm_free_model_content(svm_model* model_ptr)
  function svm_free_and_destroy_model (line 3013) | void svm_free_and_destroy_model(svm_model** model_ptr_ptr)
  function svm_destroy_param (line 3023) | void svm_destroy_param(svm_parameter* param)
  function svm_check_probability_model (line 3150) | int svm_check_probability_model(const svm_model *model)
  function svm_set_print_string_function (line 3158) | void svm_set_print_string_function(void (*print_func)(const char *))

FILE: Matlab/libsvm-3.19/svm.h
  type svm_node (line 12) | struct svm_node
  type svm_problem (line 18) | struct svm_problem
  type svm_parameter (line 28) | struct svm_parameter
  type svm_model (line 52) | struct svm_model
  type svm_model (line 74) | struct svm_model
  type svm_problem (line 74) | struct svm_problem
  type svm_parameter (line 74) | struct svm_parameter
  type svm_problem (line 75) | struct svm_problem
  type svm_parameter (line 75) | struct svm_parameter
  type svm_model (line 77) | struct svm_model
  type svm_model (line 78) | struct svm_model
  type svm_model (line 80) | struct svm_model
  type svm_model (line 81) | struct svm_model
  type svm_model (line 82) | struct svm_model
  type svm_model (line 83) | struct svm_model
  type svm_model (line 84) | struct svm_model
  type svm_model (line 85) | struct svm_model
  type svm_model (line 87) | struct svm_model
  type svm_node (line 87) | struct svm_node
  type svm_model (line 88) | struct svm_model
  type svm_node (line 88) | struct svm_node
  type svm_model (line 89) | struct svm_model
  type svm_node (line 89) | struct svm_node
  type svm_model (line 91) | struct svm_model
  type svm_model (line 92) | struct svm_model
  type svm_parameter (line 93) | struct svm_parameter
  type svm_problem (line 95) | struct svm_problem
  type svm_parameter (line 95) | struct svm_parameter
  type svm_model (line 96) | struct svm_model

FILE: Matlab/libsvm-3.19/tools/checkdata.py
  function err (line 18) | def err(line_no, msg):
  function my_float (line 22) | def my_float(x):
  function main (line 28) | def main():

FILE: Matlab/libsvm-3.19/tools/grid.py
  class GridOption (line 17) | class GridOption:
    method __init__ (line 18) | def __init__(self, dataset_pathname, options):
    method parse_options (line 40) | def parse_options(self, options):
  function redraw (line 105) | def redraw(db,best_param,gnuplot,options,tofile=False):
  function calculate_jobs (line 159) | def calculate_jobs(options):
  class WorkerStopToken (line 241) | class WorkerStopToken:  # used to notify the worker to stop or if a work...
  class Worker (line 244) | class Worker(Thread):
    method __init__ (line 245) | def __init__(self,name,job_queue,result_queue,options):
    method run (line 252) | def run(self):
    method get_cmd (line 278) | def get_cmd(self,c,g):
  class LocalWorker (line 289) | class LocalWorker(Worker):
    method run_one (line 290) | def run_one(self,c,g):
  class SSHWorker (line 297) | class SSHWorker(Worker):
    method __init__ (line 298) | def __init__(self,name,job_queue,result_queue,host,options):
    method run_one (line 302) | def run_one(self,c,g):
  class TelnetWorker (line 310) | class TelnetWorker(Worker):
    method __init__ (line 311) | def __init__(self,name,job_queue,result_queue,host,username,password,o...
    method run (line 316) | def run(self):
    method run_one (line 331) | def run_one(self,c,g):
  function find_parameters (line 339) | def find_parameters(dataset_pathname, options=''):
  function exit_with_help (line 465) | def exit_with_help():

FILE: Matlab/libsvm-3.19/tools/subset.py
  function exit_with_help (line 9) | def exit_with_help(argv):
  function process_options (line 25) | def process_options(argv):
  function random_selection (line 56) | def random_selection(dataset, subset_size):
  function stratified_selection (line 60) | def stratified_selection(dataset, subset_size):
  function main (line 89) | def main(argv=sys.argv):