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2010-06-11 Vojtech Franc
* Added functions which implement the COFFIN framework for training
* translation invariant image classifier from virtual example.
* Added functions:
* lbppyr.m, lbppyr_mex.c, liblbp.h, ocas_lbp_helper.h, svmocas_lbp.m
* lbpfilter_mex.c, lbppyr_features_mex.c, liblbp.c, ocas_lbp_helper.c
* svmocas_lbp_example.m, svmocas_lbp_mex.c
2009-08-03 Vojtech Franc
* BUG FIX: OCAS solver was crashing on some data (reported by Alex Binder).
The problem was a bug in "qsort_data" function which did not expect a sequnce of length 1
as its input. The same bug was fixed also in "parallel_qsort_data".
* A new functionality added to the stand alone application "svmocas" (mex interface has it already).
Each examplean have a different regularization constant which is taken from specified text file.
2009-07-31 Vojtech Franc
* BUG FIX: Fixed memory leak problem (missing "LIBQP_FREE( x_neq )") in libqp_splx.c (reported by Alex Binder)
2009-02-24 Vojtech Franc
* Implemented version of binary SVMOCAS which supports using different C
* for each training example. Currently, this functionality is used in
* the Matlab's intefrace only.
2008-12-10 Vojtech Franc
* Added stand alone implementaion of multi-class OCAS solver (msvmocas)
* Added stand alone implementation of linear classifier (linclass)
* old benchmarking and testing scripts for Matlab removed
* Added new (simpler) testing script for Matlab
* Data moved to ./data folder
* Updated HTML page, README and INSTALL files
2008-12-02 Vojtech Franc
* Added multi-class version of OCAS solver including interface to Matlab (msvmocas_mex.c).
It supports sparse and full matrices and loading examples directly from SVM^light file.
The parallel version has not been implemented yet.
* Added new implementation of linear classifier (svmlight_linclass_mex.c).
* Added function which computes cls. error and AUC (compute_errors_mex.c).
2008-11-10 Vojtech Franc
* Added support for represenation of SVMlight data as full matrix.
The representation (spare or full) which requires less memory is used.
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