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» Logical Hidden Markov Models
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JMLR
2012
13 years 6 months ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
116
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ICIP
2000
IEEE
16 years 5 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
118
Voted
CORR
1999
Springer
59views Education» more  CORR 1999»
15 years 3 months ago
HMM Specialization with Selective Lexicalization
We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. 'Our approach examines the d...
Jin-Dong Kim, Sang-Zoo Lee, Hae-Chang Rim
148
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ECCV
2008
Springer
16 years 5 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
119
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KBSE
2009
IEEE
15 years 10 months ago
Code Completion from Abbreviated Input
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...
Sangmok Han, David R. Wallace, Robert C. Miller