latest version v1.9 - last update 10 Apr 2010 |
00001 /* 00002 * Copyright (C) 2002, 2003, 2004, 2005, 2006 00003 * Lehrstuhl fuer Technische Informatik, RWTH-Aachen, Germany 00004 * 00005 * This file is part of the LTI-Computer Vision Library (LTI-Lib) 00006 * 00007 * The LTI-Lib is free software; you can redistribute it and/or 00008 * modify it under the terms of the GNU Lesser General Public License (LGPL) 00009 * as published by the Free Software Foundation; either version 2.1 of 00010 * the License, or (at your option) any later version. 00011 * 00012 * The LTI-Lib is distributed in the hope that it will be 00013 * useful, but WITHOUT ANY WARRANTY; without even the implied warranty 00014 * of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 00015 * GNU Lesser General Public License for more details. 00016 * 00017 * You should have received a copy of the GNU Lesser General Public 00018 * License along with the LTI-Lib; see the file LICENSE. If 00019 * not, write to the Free Software Foundation, Inc., 59 Temple Place - 00020 * Suite 330, Boston, MA 02111-1307, USA. 00021 */ 00022 00023 00024 /*-------------------------------------------------------------------- 00025 * project ....: LTI-Lib: Image Processing and Computer Vision Library 00026 * file .......: ltiRecognitionRateOfSubset.h 00027 * authors ....: Jens Paustenbach 00028 * organization: LTI, RWTH Aachen 00029 * creation ...: 22.10.2002 00030 * revisions ..: $Id: ltiRecognitionRateOfSubset.h,v 1.7 2006/02/07 18:23:14 ltilib Exp $ 00031 */ 00032 00033 #ifndef _LTI_RECOGNITION_RATE_OF_SUBSET_H_ 00034 #define _LTI_RECOGNITION_RATE_OF_SUBSET_H_ 00035 00036 #include "ltiCostFunction.h" 00037 #include "ltiCrossValidator.h" 00038 00039 namespace lti { 00040 /** 00041 * Computes the average recognition rate of a given subset of features 00042 * from a data set. A cross validation is performed on the given subset 00043 * of features. The average recognition rate of the used classifier, 00044 * is returned as the value of this cost function. 00045 */ 00046 class recognitionRateOfSubset : public costFunction { 00047 public: 00048 /** 00049 * the parameters for the class recognitionRateOfSubset 00050 */ 00051 class parameters : public costFunction::parameters { 00052 public: 00053 /** 00054 * default constructor 00055 */ 00056 parameters(); 00057 00058 /** 00059 * copy constructor 00060 * @param other the parameters object to be copied 00061 */ 00062 parameters(const parameters& other); 00063 00064 /** 00065 * destructor 00066 */ 00067 ~parameters(); 00068 00069 /** 00070 * returns name of this type 00071 */ 00072 const char* getTypeName() const; 00073 00074 /** 00075 * copy the contents of a parameters object 00076 * @param other the parameters object to be copied 00077 * @return a reference to this parameters object 00078 */ 00079 parameters& copy(const parameters& other); 00080 00081 /** 00082 * copy the contents of a parameters object 00083 * @param other the parameters object to be copied 00084 * @return a reference to this parameters object 00085 */ 00086 parameters& operator=(const parameters& other); 00087 00088 00089 /** 00090 * returns a pointer to a clone of the parameters 00091 */ 00092 virtual functor::parameters* clone() const; 00093 00094 /** 00095 * write the parameters in the given ioHandler 00096 * @param handler the ioHandler to be used 00097 * @param complete if true (the default) the enclosing begin/end will 00098 * be also written, otherwise only the data block will be written. 00099 * @return true if write was successful 00100 */ 00101 virtual bool write(ioHandler& handler,const bool complete=true) const; 00102 00103 /** 00104 * read the parameters from the given ioHandler 00105 * @param handler the ioHandler to be used 00106 * @param complete if true (the default) the enclosing begin/end will 00107 * be also written, otherwise only the data block will be written. 00108 * @return true if write was successful 00109 */ 00110 virtual bool read(ioHandler& handler,const bool complete=true); 00111 00112 # ifdef _LTI_MSC_6 00113 /** 00114 * this function is required by MSVC only, as a workaround for a 00115 * very awful bug, which exists since MSVC V.4.0, and still by 00116 * V.6.0 with all bugfixes (so called "service packs") remains 00117 * there... This method is also public due to another bug, so please 00118 * NEVER EVER call this method directly: use read() instead 00119 */ 00120 bool readMS(ioHandler& handler,const bool complete=true); 00121 00122 /** 00123 * this function is required by MSVC only, as a workaround for a 00124 * very awful bug, which exists since MSVC V.4.0, and still by 00125 * V.6.0 with all bugfixes (so called "service packs") remains 00126 * there... This method is also public due to another bug, so please 00127 * NEVER EVER call this method directly: use write() instead 00128 */ 00129 bool writeMS(ioHandler& handler,const bool complete=true) const; 00130 # endif 00131 00132 // ------------------------------------------------ 00133 // the parameters 00134 // ------------------------------------------------ 00135 00136 /** 00137 * parameters class used for the internal cross validator 00138 */ 00139 crossValidator::parameters cvParameter; 00140 00141 }; 00142 00143 /** 00144 * default constructor 00145 */ 00146 recognitionRateOfSubset(); 00147 00148 // /** 00149 // * 00150 // */ 00151 // recognitionRateOfSubset(const dmatrix& src,const ivector& srcIds); 00152 00153 /** 00154 * copy constructor 00155 * @param other the object to be copied 00156 */ 00157 recognitionRateOfSubset(const recognitionRateOfSubset& other); 00158 00159 /** 00160 * destructor 00161 */ 00162 virtual ~recognitionRateOfSubset(); 00163 00164 /** 00165 * returns the name of this type ("recognitionRateOfSubset") 00166 */ 00167 virtual const char* getTypeName() const; 00168 00169 /** 00170 * Set the src data, that is used in applies. This must be done before 00171 * you call one of the apply methods. Later each feature can be adressed 00172 * by its column number. 00173 */ 00174 virtual void setSrc(const dmatrix& src, const ivector& srcIds); 00175 00176 /** 00177 * computes the average recognition rate of the given feature subset 00178 * using cross validation 00179 * @param in std::list with the features that are included in this test. 00180 * @param value the resulting average recognition rate 00181 * @return true if apply successful or false otherwise. 00182 */ 00183 virtual bool apply(const std::list<int>& in,double& value); 00184 00185 /** 00186 * copy data of "other" functor. 00187 * @param other the functor to be copied 00188 * @return a reference to this functor object 00189 */ 00190 recognitionRateOfSubset& copy(const recognitionRateOfSubset& other); 00191 00192 /** 00193 * alias for copy member 00194 * @param other the functor to be copied 00195 * @return a reference to this functor object 00196 */ 00197 recognitionRateOfSubset& operator=(const recognitionRateOfSubset& other); 00198 00199 /** 00200 * returns a pointer to a clone of this functor. 00201 */ 00202 virtual functor* clone() const; 00203 00204 /** 00205 * returns used parameters 00206 */ 00207 const parameters& getParameters() const; 00208 00209 }; 00210 } 00211 00212 #endif