Lines Matching refs:mixture
306 // Purpose: The function implements the mixture segmentation of the states of the embedded HMM
399 /* all vectors belong to one mixture */
411 /* for every vector number of mixture is assigned */
471 // Purpose: The function computes the mixture Gaussian pdf of a sample vector.
481 // weight - pointer to the wights of the Gaussian mixture
484 // Returns: the pdf of the sample vector given the specified Gaussian mixture.
700 /* 1. calculate logarithms of probabilities for each mixture */
730 /* skip the rest if there is a single mixture */
734 (i.e. probability for each mixture) */
740 /* 3a. first mixture - simply scale by weight */
895 // Purpose: The function implements the mixture segmentation of the states of the embedded HMM
934 /* assign mixture with smallest distance */
1033 int state, mixture;
1035 mixture = info->mix[i];
1037 to every mixture of every state */
1038 ((int*)(first_state[state].weight))[mixture] += 1;
1064 int mixture = info->mix[j];
1066 CvVect32f mean = first_state[state].mu + mixture * vect_len;
1067 CvVect32f mean2 = first_state[state].inv_var + mixture * vect_len;
1121 /* normilize gammas - i.e. compute mixture weights */
