X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=folded-ctf.git;a=blobdiff_plain;f=loss_machine.h;h=428c8e4031bd1733f979c0846a003cbebb0e9c2b;hp=50a611eee6b0de80943e0132401572bbcbac18f3;hb=8a90240a648bc6328c887e10cc31e4b6d6ea9497;hpb=7749435116064426b30f0de8e7b775b85bd3c67a diff --git a/loss_machine.h b/loss_machine.h index 50a611e..428c8e4 100644 --- a/loss_machine.h +++ b/loss_machine.h @@ -1,20 +1,35 @@ +/* + * 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 as published + * by the Free Software Foundation, either version 3 of the License, + * or (at your option) any later version. + * + * 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 // -// Contact for comments & bug reports // -/////////////////////////////////////////////////////////////////////////// +/* + + A LossMachine provides all the methods necessary to do boosting with + a certain loss. Note that only the LOSS_EXPONENTIAL has been really + tested. Using the others may result in unexpected effects. + + */ #ifndef LOSS_MACHINE_H #define LOSS_MACHINE_H