X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=folded-ctf.git;a=blobdiff_plain;f=sample_set.h;h=0540e86816dc464c9c6597f183cfe6937ea46ee8;hp=9841d66fbfb4a224ef06689a424d738366e95aad;hb=HEAD;hpb=20ec321944108cd1fe74b37ea45db3ba1a2d526a diff --git a/sample_set.h b/sample_set.h index 9841d66..0540e86 100644 --- a/sample_set.h +++ b/sample_set.h @@ -1,22 +1,34 @@ +/* + * folded-ctf is an implementation of the folded hierarchy of + * classifiers for object detection, developed by Francois Fleuret + * and Donald Geman. + * + * Copyright (c) 2008 Idiap Research Institute, http://www.idiap.ch/ + * Written by Francois Fleuret + * + * This file is part of folded-ctf. + * + * folded-ctf is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License version 3 as + * published by the Free Software Foundation. + * + * folded-ctf is distributed in the hope that it will be useful, but + * WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + * General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with folded-ctf. If not, see . + * + */ -/////////////////////////////////////////////////////////////////////////// -// This program is free software: you can redistribute it and/or modify // -// it under the terms of the version 3 of the GNU General Public License // -// as published by the Free Software Foundation. // -// // -// This program is distributed in the hope that it will be useful, but // -// WITHOUT ANY WARRANTY; without even the implied warranty of // -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU // -// General Public License for more details. // -// // -// You should have received a copy of the GNU General Public License // -// along with this program. If not, see . // -// // -// Written by Francois Fleuret // -// (C) Idiap Research Institute // -// // -// Contact for comments & bug reports // -/////////////////////////////////////////////////////////////////////////// +/* + + A SampleSet stands for a set of samples from R^d with their + labels. It abstracts the notion features and is what the machine + learning techniques of this software see. + + */ #ifndef SAMPLE_SET_H #define SAMPLE_SET_H