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» SMEM Algorithm for Mixture Models
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ICIP
2001
IEEE
14 years 8 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
NOLISP
2007
Springer
14 years 1 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
PAMI
2002
114views more  PAMI 2002»
13 years 6 months ago
Unsupervised Learning of Finite Mixture Models
Mário A. T. Figueiredo, Anil K. Jain
IROS
2006
IEEE
139views Robotics» more  IROS 2006»
14 years 1 months ago
Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
Wael Abd-Almageed, Mohamed E. Hussein, Larry S. Da...
ICPR
2006
IEEE
14 years 8 months ago
EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models
Antonio Peñalver Benavent, Francisco Escola...