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» A Compact Representation of Spatio-Temporal Data
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UAI
1998
14 years 11 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
82
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ICASSP
2010
IEEE
14 years 9 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
ENTCS
2002
72views more  ENTCS 2002»
14 years 9 months ago
A Symbolic Out-of-Core Solution Method for Markov Models
Despite considerable effort, the state-space explosion problem remains an issue in the analysis of Markov models. Given structure, symbolic representations can result in very comp...
Marta Z. Kwiatkowska, Rashid Mehmood, Gethin Norma...
ICASSP
2010
IEEE
14 years 4 months ago
Background music identification through content filtering and min-hash matching
A novel framework for background music identification is proposed in this paper. Given a piece of audio signals that mixes background music with speech/noise, we identify the musi...
Chih-Yi Chiu, Dimitrios Bountouridis, Ju-Chiang Wa...
EUROSYS
2006
ACM
15 years 6 months ago
Ferret: a toolkit for content-based similarity search of feature-rich data
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
Qin Lv, William Josephson, Zhe Wang, Moses Charika...