LogLikelihoodClassifier.H

/*!@file Learn/LogLikelikhoodClassifier.H Log Likelihood Classifier for Histograms module */
// //////////////////////////////////////////////////////////////////// //
// The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
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// Major portions of the iLab Neuromorphic Vision Toolkit are protected //
// under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
// in Visual Environments, and Applications'' by Christof Koch and      //
// Laurent Itti, California Institute of Technology, 2001 (patent       //
// pending; application number 09/912,225 filed July 23, 2001; see      //
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// Primary maintainer for this file: Dan Parks <danielfp@usc.edu>
// $HeadURL$
// $Id$
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#ifndef LOGLIKELIHOODCLASSIFIER_H_DEFINED
#define LOGLIKELIHOODCLASSIFIER_H_DEFINED

#include <cstdlib>
#include <deque>
#include <map>



class LogLikelihoodClassifier
{

public:
  LogLikelihoodClassifier(int k=5);

  // Map of model histograms (multiple per model id)
  typedef std::map<int, std::vector<std::vector<float> > > MapModelVector;

  //! Calculate log likelihood probability for this sample and model
  float calcLogLikelihood(const std::vector<float>& sample, const std::vector<float>& model);

  //! Add a model exemplar for this id (ok to have multiple exemplars per class)
  void addModel(std::vector<float> hist, int id);
  
  //! Set the models that will be used for this classifier
  void setModels(MapModelVector models);

  //! Return the models that were used for this classifier
  MapModelVector getModels();

  //! Predict using classifier
  int predict(const std::vector<float>& hist);

  //! Predict using classifier and return the full PDF across classes
  std::map<int,double> predictPDF(const std::vector<float>& hist);

  //! Perform k-nearest neighbor vote that does a short circuited calculation using the best likelihoods to calculate the full PDF
  void nearestNeighborVotePDF(const std::map<int,std::list<float> >& logLikelihood, std::map<int,double>& pdf);
  
  //! Get number of models
  uint getNumModels();

protected:
  //! Store a list of model histograms for each model id
  MapModelVector itsModels;
  uint itsHistLength;
  uint itsK;
};

#endif

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