229     CV_CALL( cvPreparePredictData( _sample, dims, 0, params.nclusters, _probs, &sample_data ));  in predict()
237         CV_CALL( buffer = cvAlloc( size ));  in predict()
284         CV_CALL( cvConvertScale( &expo, &expo, -0.5 ));  in predict()
285         CV_CALL( cvExp( &expo, &expo ));  in predict()
287             CV_CALL( cvReshape( &expo, &expo, 0, nclusters ));  in predict()
288         CV_CALL( cvConvertScale( &expo, _probs, 1./cvSum( &expo ).val[0] ));  in predict()
321     CV_CALL( cvPrepareTrainData( "cvEM",  in train()
327     CV_CALL( set_params( _params, train_data ));  in train()
341     CV_CALL( log_weight_div_det = cvCreateMat( 1, nclusters, CV_64FC1 ));  in train()
342     CV_CALL( probs  = cvCreateMat( nsamples, nclusters, CV_64FC1 ));  in train()
343     CV_CALL( means = cvCreateMat( nclusters, dims, CV_64FC1 ));  in train()
344     CV_CALL( weights = cvCreateMat( 1, nclusters, CV_64FC1 ));  in train()
345     CV_CALL( inv_eigen_values = cvCreateMat( nclusters,  in train()
347     CV_CALL( covs = (CvMat**)cvAlloc( nclusters * sizeof(*covs) ));  in train()
348     CV_CALL( cov_rotate_mats = (CvMat**)cvAlloc( nclusters * sizeof(cov_rotate_mats[0]) ));  in train()
352         CV_CALL( covs[i] = cvCreateMat( dims, dims, CV_64FC1 ));  in train()
353         CV_CALL( cov_rotate_mats[i]  = cvCreateMat( dims, dims, CV_64FC1 ));  in train()
441                 CV_CALL( cvConvert( params.covs[i], covs[i] ));  in init_em()
448     CV_CALL( tcov = cvCreateMat( dims, dims, CV_64FC1 ));  in init_em()
449     CV_CALL( w = cvCreateMat( dims, dims, CV_64FC1 ));  in init_em()
451         CV_CALL( u = cvCreateMat( dims, dims, CV_64FC1 ));  in init_em()
516         CV_CALL( class_ranges = cvCreateMat( 1, nclusters+1, CV_32SC1 ));  in init_auto()
519             CV_CALL( labels = cvCreateMat( 1, nsamples, CV_32SC1 ));  in init_auto()
522             CV_CALL( cvSortSamplesByClasses( (const float**)train_data.data.fl,  in init_auto()
536         CV_CALL( hdr = (CvMat*)cvAlloc( max_count*sizeof(hdr[0]) ));  in init_auto()
537         CV_CALL( vec = (const void**)cvAlloc( max_count*sizeof(vec[0]) ));  in init_auto()
557             CV_CALL( cvGetRow( means, &avg, i ));  in init_auto()
558             CV_CALL( cvCalcCovarMatrix( vec, cluster_size, covs[i],  in init_auto()
595     CV_CALL( centers = cvCreateMat( nclusters, dims, CV_64FC1 ));  in kmeans()
596     CV_CALL( old_centers = cvCreateMat( nclusters, dims, CV_64FC1 ));  in kmeans()
597     CV_CALL( counters = cvCreateMat( 1, nclusters, CV_32SC1 ));  in kmeans()
602         CV_CALL( cvConvert( centers0, centers ));  in kmeans()
805         CV_CALL( cvSet( probs, cvScalar(1.)) );  in run_em()
846     CV_CALL( log_det = cvCreateMat( 1, nclusters, CV_64FC1 ));  in run_em()
847     CV_CALL( log_weights = cvCreateMat( 1, nclusters, CV_64FC1 ));  in run_em()
848     CV_CALL( covs_item = cvCreateMat( dims, dims, CV_64FC1 ));  in run_em()
849     CV_CALL( centered_sample = cvCreateMat( 1, dims, CV_64FC1 ));  in run_em()
850 …CV_CALL( cov_eigen_values = cvCreateMat( inv_eigen_values->rows, inv_eigen_values->cols, CV_64FC1 …  in run_em()
851     CV_CALL( samples = cvCreateMat( nsamples, dims, CV_64FC1 ));  in run_em()
852     CV_CALL( sum_probs = cvCreateMat( 1, nclusters, CV_64FC1 ));  in run_em()
913             CV_CALL(cvLog( weights, log_weights ));  in run_em()
951             CV_CALL(cvExp( probs, probs )); // exp( S_ik )  in run_em()