| /external/opencv/ml/src/ |
| mltestset.cpp | 66 CvMat* cov = NULL; local
109 CV_CALL( cov = cvCreateMat( num_features, num_features, CV_32FC1 ) );
110 CV_CALL( cvSetIdentity( cov ) );
114 CV_CALL( cvRandMVNormal( mean, cov, *samples ) );
166 cvReleaseMat( &cov );
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| mlnbayes.cpp | 116 CvMat* cov = 0; local
193 CV_CALL( cov = cvCreateMat( _var_count, _var_count, CV_64FC1 ));
241 double* cov_data = cov->data.db + i*_var_count;
255 CV_CALL( cvCompleteSymm( cov, 1 ));
256 CV_CALL( cvSVD( cov, w, cov_rotate_mats[cls], 0, CV_SVD_U_T ));
272 cvReleaseMat( &cov );
348 // cov = u w u' --> cov^(-1) = u w^(-1) u'
|
| mlem.cpp | 193 const CvMat* cov = params.covs[k]; local
194 if( !CV_IS_MAT(cov) ||
195 CV_MAT_TYPE(cov->type) != CV_32FC1 &&
196 CV_MAT_TYPE(cov->type) != CV_64FC1 ||
197 cov->rows != cov->cols || cov->cols != train_data.dims )
250 // cov = u w u' --> cov^(-1) = u w^(-1) u'
982 CvMat* cov = covs[k], _mean, _sample; local
[all...] |
| ml_inner_functions.cpp | 157 average row vector, <cov> - symmetric covariation matrix */
158 CV_IMPL void cvRandMVNormal( CvMat* mean, CvMat* cov, CvMat* sample, CvRNG* rng )
169 cvChol(cov, utmat);
332 CvMat *cov, sample; local
349 cov = cvCreateMat (dim, dim, CV_32FC1);
350 cvSetIdentity (cov);
351 cvRandMVNormal (center, cov, desired_matrix, &rng_local);
[all...] |
| /external/webkit/Tools/CodeCoverage/ |
| run-generate-coverage-data | 157 cov = os.path.join(root, file)
158 src = find_source_file( root, cov )
163 gcov[src].append( cov )
196 import cov namespace
199 result = cov.analyze_coverage(gcov, sources, runid, data, base)
|
| /frameworks/base/voip/jni/rtp/ |
| EchoSuppressor.cpp | 169 float cov = mXYSums[i] - mWeight * mXSums[i] * mYSum; local
170 if (cov > 0.0f) {
172 float corr2i = cov * cov / (varXi * varY + 1);
|
| /external/opencv/cv/src/ |
| cvcorner.cpp | 47 icvCalcMinEigenVal( const float* cov, int cov_step, float* dst,
52 cov_step /= sizeof(cov[0]);
56 for( ; size.height--; cov += cov_step, dst += dst_step )
60 double a = cov[j*3]*0.5;
61 double b = cov[j*3+1];
62 double c = cov[j*3+2]*0.5;
77 icvCalcHarris( const float* cov, int cov_step, float* dst,
81 cov_step /= sizeof(cov[0]);
84 for( ; size.height--; cov += cov_step, dst += dst_step )
88 double a = cov[j*3]
209 CvMat *Dx = 0, *Dy = 0, *cov = 0; local
[all...] |
