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 .......: ltiSequentialBackwardSearch.h 00027 * authors ....: Jens Paustenbach 00028 * organization: LTI, RWTH Aachen 00029 * creation ...: 8.7.2002 00030 * revisions ..: $Id: ltiSequentialBackwardSearch.h,v 1.4 2006/02/07 18:25:24 ltilib Exp $ 00031 */ 00032 00033 #ifndef _LTI_SEQUENTIAL_BACKWARD_SEARCH_H_ 00034 #define _LTI_SEQUENTIAL_BACKWARD_SEARCH_H_ 00035 00036 #include "ltiVector.h" 00037 #include "ltiMatrix.h" 00038 #include "ltiPlusLTakeAwayR.h" 00039 00040 namespace lti { 00041 /** 00042 * This class implements the sequential backward search algorithm for 00043 * feature selection. It is based on the PlusRTakeAwayR algorithm with 00044 * parameters r=1 and l=0. It starts with all features from the source data 00045 * an in each iteration the least significant feature is deleted from 00046 * the destination matrix until the predetermined number of features is 00047 * reached. 00048 */ 00049 class sequentialBackwardSearch : public plusLTakeAwayR { 00050 public: 00051 /** 00052 * default constructor 00053 */ 00054 sequentialBackwardSearch(); 00055 00056 /** 00057 * copy constructor 00058 * @param other the object to be copied 00059 */ 00060 sequentialBackwardSearch(const sequentialBackwardSearch& other); 00061 00062 /** 00063 * destructor 00064 */ 00065 virtual ~sequentialBackwardSearch(); 00066 00067 /** 00068 * returns the name of this type ("sequentialBackwardSearch") 00069 */ 00070 virtual const char* getTypeName() const; 00071 00072 /** 00073 * selects the nbFeatures best features from src and puts them leave 00074 * them in dest. 00075 * @param src dmatrix with the source data. 00076 * @param srcIds ivector with the ids corresponding to the point in src 00077 * @param dest dmatrix where the result will be left. 00078 * @return true if apply successful or false otherwise. 00079 */ 00080 bool apply(const dmatrix& src,const ivector& srcIds,dmatrix& dest); 00081 00082 /** 00083 * copy data of "other" functor. 00084 * @param other the functor to be copied 00085 * @return a reference to this functor object 00086 */ 00087 sequentialBackwardSearch& copy(const sequentialBackwardSearch& other); 00088 00089 /** 00090 * alias for copy member 00091 * @param other the functor to be copied 00092 * @return a reference to this functor object 00093 */ 00094 sequentialBackwardSearch& operator=(const sequentialBackwardSearch& other); 00095 00096 /** 00097 * returns a pointer to a clone of this functor. 00098 */ 00099 virtual functor* clone() const; 00100 00101 /** 00102 * returns used parameters 00103 */ 00104 const parameters& getParameters() const; 00105 00106 00107 }; 00108 } 00109 00110 #endif