1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
|
% OCAS solver for training linear SVM classifiers from large-scale data
%
% Copyright (C) 2008,2009,2010,2012
% Vojtech Franc, xfrancv@cmp.felk.cvut.cz
% Soeren Sonnenburg, soeren.sonnenburg@tu-berlin.de
%
% SVM solvers for training linear two-class classifiers:
% svmocas Accepts examples stored in dense double or sparse
% double or dense single or dense int8 matrix.
% svmocas_nnw Allows additional constrains enforcing non-negative weights.
% svmocas_light Loads examples from file in SVM^light format.
% svmocas_lbp Examples are LBP features computed on a set of
% given grayscale images.
%
% SVM solver for training linear multi-class classifiers:
% msvmocas Accepts examples stored in dense double or
% sparse double matrix.
% msvmocas_light Loads examples from file in SVM^light format.
%
% Auxciliary functions:
% compute_auc Computes area under ROC.
% lbppyr_features Computes LBP feature representation for given images.
% libocas_test This script tests all SVM solvers in the LIBOCAS.
% linclassif_light Classifies examples in SVM^light file by linear rule.
% msvmocas_light_example Example on using multi-class SVM solver.
% svmocas_lbp_example Example on training translation invariant image classifiers.
% svmocas_parseout Parsing out text output of SVMOCAS solver.
%
|
