#include <adaboost.hpp>
Inheritance diagram for Classifier< T >:
Public Member Functions | |
| virtual int | recognize (T &)=0 |
| virtual string | get_name () const =0 |
Static Public Member Functions | |
| static vector< float > | adaboost (vector< Classifier< T > * > clsfrs, vector< T * > data, vector< int > label, const int maxround=80) |
Detailed Description
template<class T>
class Classifier< T >
Definition at line 20 of file adaboost.hpp.
Member Function Documentation
template<class T>
| static vector<float> Classifier< T >::adaboost | ( | vector< Classifier< T > * > | clsfrs, |
| vector< T * > | data, | ||
| vector< int > | label, | ||
| const int | maxround = 80 |
||
| ) | [inline, static] |
Definition at line 35 of file adaboost.hpp.
{
vector<float> alpha;
vector<float> d;
if (data.size()!=label.size() || clsfrs.size()==0 || label.size()==0)
return alpha;
d.resize(label.size());
alpha.resize(clsfrs.size());
for (unsigned int i=0;i<label.size();i++)
d[i]=float(1.0)/float(label.size());
vector< vector<int> > rec;
rec.resize(clsfrs.size());
// run the weak classifiers on all the trainning data first
for (unsigned int j=0;j<clsfrs.size();j++)
{
rec[j].resize(label.size());
for (unsigned int i=0;i<label.size();i++)
rec[j][i]=clsfrs[j]->recognize(*data[i]);
}
//run maxround times of iteration
for (int round=0;round<maxround;round++)
{
float minerr=(float)label.size();
int best = 0;
for (unsigned int j=0;j<clsfrs.size();j++)
{
float err=0;
for (unsigned int i=0;i<label.size();i++)
{
if (rec[j][i]!=label[i])
err += d[i];
}
if (err<minerr)
{
minerr = err;
best = j;
}
}
if (minerr >= 0.5) break;
float a= log((1.0f-minerr)/minerr)/2;
alpha[best]+=a;
vector<float> d1=d;
float z = 0;
for (unsigned int i=0;i<label.size();i++)
{
d1[i]=d[i]*exp(-a*label[i]*rec[best][i]);
z+=d1[i];
}
for (unsigned int i=0;i<label.size();i++)
{
d[i]=d1[i]/z;
}
}
return alpha;
}
template<class T>
| virtual string Classifier< T >::get_name | ( | ) | const [pure virtual] |
Implemented in MultiClassifier< T >, and degate::BackgroundClassifier< ImageType, HistogramType >.
template<class T>
| virtual int Classifier< T >::recognize | ( | T & | ) | [pure virtual] |
Implemented in MultiClassifier< T >.
Referenced by testClassifier().
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The documentation for this class was generated from the following file:
