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111
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ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
14 years 10 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
ICIP
2001
IEEE
16 years 2 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
104
Voted
ICIAP
2001
Springer
16 years 25 days ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
97
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
ICIP
2007
IEEE
15 years 7 months ago
Lossy Compression of Bilevel Images Based on Markov Random Fields
A new method for lossy compression of bilevel images based on Markov random fields (MRFs) is proposed. It preserves key structural information about the image, and then reconstru...
Matthew G. Reyes, Xiaonan Zhao, David L. Neuhoff, ...