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@ -330,18 +330,18 @@ void CvSVMKernel::calc_intersec( int vcount, int var_count, const float** vecs,
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const float* sample = vecs[j];
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double s = 0;
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for( k = 0; k <= var_count - 4; k += 4 )
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s += min(sample[k],another[k]) + min(sample[k+1],another[k+1]) +
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min(sample[k+2],another[k+2]) + min(sample[k+3],another[k+3]);
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s += std::min(sample[k],another[k]) + std::min(sample[k+1],another[k+1]) +
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std::min(sample[k+2],another[k+2]) + std::min(sample[k+3],another[k+3]);
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for( ; k < var_count; k++ )
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s += min(sample[k],another[k]);
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s += std::min(sample[k],another[k]);
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results[j] = (Qfloat)(s);
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}
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}
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}
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/// Exponential chi2 kernel
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void CvSVMKernel::calc_chi2( int vcount, int var_count, const float** vecs,
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const float* another, Qfloat* results )
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{
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{
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CvMat R = cvMat( 1, vcount, QFLOAT_TYPE, results );
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double gamma = -params->gamma;
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int j, k;
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@ -349,22 +349,22 @@ void CvSVMKernel::calc_chi2( int vcount, int var_count, const float** vecs,
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{
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const float* sample = vecs[j];
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double chi2 = 0;
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for(k = 0 ; k < var_count; k++ )
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{
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for(k = 0 ; k < var_count; k++ )
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{
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double d = sample[k]-another[k];
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double devisor = sample[k]+another[k];
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/// if devisor == 0, the Chi2 distance would be zero, but calculation would rise an error because of deviding by zero
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if (devisor != 0)
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{
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chi2 += d*d/devisor;
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}
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}
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double devisor = sample[k]+another[k];
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/// if devisor == 0, the Chi2 distance would be zero, but calculation would rise an error because of deviding by zero
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if (devisor != 0)
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{
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chi2 += d*d/devisor;
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}
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}
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results[j] = (Qfloat) (gamma*chi2);
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}
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}
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if( vcount > 0 )
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cvExp( &R, &R );
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cvExp( &R, &R );
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}
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void CvSVMKernel::calc( int vcount, int var_count, const float** vecs,
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@ -1262,7 +1262,7 @@ bool CvSVM::set_params( const CvSVMParams& _params )
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svm_type = params.svm_type;
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if( kernel_type != LINEAR && kernel_type != POLY &&
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kernel_type != SIGMOID && kernel_type != RBF &&
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kernel_type != SIGMOID && kernel_type != RBF &&
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kernel_type != INTER && kernel_type != CHI2)
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CV_ERROR( CV_StsBadArg, "Unknown/unsupported kernel type" );
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