11 search results - page 1 / 3 » A Probabilistic Analysis of EM for Mixtures of Separated, Sp... |
JMLR
2007
13 years 5 months ago
2007
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...
COLT
2010
Springer
13 years 3 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
ICDAR
2009
IEEE
13 years 12 months ago
2009
IEEE
This paper presents a new enhanced text extraction algorithm from degraded document images on the basis of the probabilistic models. The observed document image is considered as a...