LTI-Lib latest version v1.9 - last update 10 Apr 2010

ltiCostFunction.h

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 .......: ltiCostFunction.h
00027  * authors ....: Jens Paustenbach
00028  * organization: LTI, RWTH Aachen
00029  * creation ...: 4.9.2002
00030  * revisions ..: $Id: ltiCostFunction.h,v 1.3 2006/02/07 18:15:35 ltilib Exp $
00031  */
00032 
00033 #ifndef _LTI_COST_FUNCTION_H_
00034 #define _LTI_COST_FUNCTION_H_
00035 
00036 #include "ltiFunctor.h"
00037 #include "ltiMatrix.h"
00038 #include "ltiVector.h"
00039 #include <list> 
00040 
00041 using std::list;
00042 
00043 namespace lti {
00044   /**
00045    * Base class for all cost functions.
00046    * The cost functions are used to evaluate feature subsets of data sets.
00047    * These cost functions are used by the feature selectors.
00048    */
00049   class costFunction : public functor   {
00050   public:
00051 
00052     /**
00053      * default constructor
00054      */
00055     costFunction();
00056 
00057     /**
00058      * copy constructor
00059      * @param other the object to be copied
00060      */
00061     costFunction(const costFunction& other);
00062 
00063     /**
00064      * destructor
00065      */
00066     virtual ~costFunction();
00067 
00068     /**
00069      * returns the name of this type ("costFunction")
00070      */
00071     virtual const char* getTypeName() const;
00072       
00073     /**
00074      * copy data of "other" functor.
00075      * @param other the functor to be copied
00076      * @return a reference to this functor object
00077      */
00078     costFunction& copy(const costFunction& other);
00079 
00080     /**
00081      * alias for copy member
00082      * @param other the functor to be copied
00083      * @return a reference to this functor object
00084      */
00085     costFunction& operator=(const costFunction& other);
00086 
00087     /**
00088      * Set the src data points and ids used for computation of 
00089      * the cost function.
00090      */
00091     virtual void setSrc(const dmatrix& src, const ivector& srcIds);
00092 
00093     /**
00094      * computes the cost function with the given subset of features
00095      * @param in ivector with the features that should be included.
00096      * @param dist the result of the cost function.
00097      * @return true if apply successful or false otherwise.
00098      */
00099     virtual bool apply(const ivector& in,double& dist);
00100 
00101     /**
00102      * computes the cost function with the given subset of features
00103      * @param in ivector with the features that should be included
00104      *           for computing the function
00105      * @return the result of the cost function
00106      */
00107    virtual double apply(const ivector& in);
00108 
00109     /**
00110      * computes the cost function with the given subset of features
00111      * @param in std::list with the features that should be inclueded
00112      *           for computing the function
00113      * @return the result of the cost function
00114      */
00115     virtual double apply(const std::list<int>& in);
00116 
00117     /**
00118      * computes the cost function with the given subset of features
00119      * @param in std::list with the features that should be inclueded
00120      *           for computing the function
00121      * @param value the result of the cost function
00122      * @return true if apply successful or false otherwise.
00123      */
00124     virtual bool apply(const std::list<int>& in,double& value)=0;
00125 
00126 
00127     protected:
00128       /** 
00129        * the source data points
00130        */
00131       dmatrix pSrc;
00132 
00133       /** 
00134        * the src ids corresponding to the data points
00135        */
00136       ivector pSrcIds; 
00137   };
00138 }
00139 
00140 #endif

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