00001 /*!@file TIGS/LeastSquaresLearner.H Learn feature/position pairings with a linear least-squares best fit */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 // 00005 // by the University of Southern California (USC) and the iLab at USC. // 00006 // See http://iLab.usc.edu for information about this project. // 00007 // //////////////////////////////////////////////////////////////////// // 00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00010 // in Visual Environments, and Applications'' by Christof Koch and // 00011 // Laurent Itti, California Institute of Technology, 2001 (patent // 00012 // pending; application number 09/912,225 filed July 23, 2001; see // 00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00014 // //////////////////////////////////////////////////////////////////// // 00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00016 // // 00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00018 // redistribute it and/or modify it under the terms of the GNU General // 00019 // Public License as published by the Free Software Foundation; either // 00020 // version 2 of the License, or (at your option) any later version. // 00021 // // 00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00025 // PURPOSE. See the GNU General Public License for more details. // 00026 // // 00027 // You should have received a copy of the GNU General Public License // 00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00030 // Boston, MA 02111-1307 USA. // 00031 // //////////////////////////////////////////////////////////////////// // 00032 // 00033 // Primary maintainer for this file: Rob Peters <rjpeters at usc dot edu> 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/TIGS/LeastSquaresLearner.H $ 00035 // $Id: LeastSquaresLearner.H 5883 2005-11-07 18:55:58Z rjpeters $ 00036 // 00037 00038 #ifndef TIGS_LEASTSQUARESLEARNER_H_DEFINED 00039 #define TIGS_LEASTSQUARESLEARNER_H_DEFINED 00040 00041 #include "Component/ModelParam.H" 00042 #include "Image/Image.H" 00043 #include "TIGS/TopdownLearner.H" 00044 00045 /// Learn feature/position pairings with a linear least-squares best fit 00046 class LeastSquaresLearner : public TopdownLearner 00047 { 00048 public: 00049 LeastSquaresLearner(OptionManager& mgr); 00050 00051 void dontSave(); 00052 00053 virtual Image<float> getBiasMap(const TrainingSet& tdata, 00054 const Image<float>& features) const; 00055 00056 private: 00057 OModelParam<float> itsSvdThresh; 00058 OModelParam<std::string> itsXptSavePrefix; 00059 OModelParam<bool> itsUseWeightsFile; 00060 mutable Image<float> itsWeights; 00061 mutable Image<float> itsMeanFeatures; 00062 mutable Image<float> itsStdevFeatures; 00063 mutable Image<float> itsMeanPositions; 00064 }; 00065 00066 // ###################################################################### 00067 /* So things look consistent in everyone's emacs... */ 00068 /* Local Variables: */ 00069 /* mode: c++ */ 00070 /* indent-tabs-mode: nil */ 00071 /* End: */ 00072 00073 #endif // TIGS_LEASTSQUARESLEARNER_H_DEFINED
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