112 search results - page 2 / 23 » An EM Algorithm to Learn Sequences in the Wavelet Domain |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
BMCBI
2008
13 years 4 months ago
2008
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
The distribution of the wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces can be well described by a Gaussian mixture statistical model. In this paper, a secr...
NIPS
1998
13 years 6 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...