Continuous Observation Models
Continuous Observation Models is a type of emission probability model in Hidden Markov Models that specifies the likelihood of observing continuous-valued signals by using parametric distributions such as Gaussian mixtures, as opposed to discrete symbols in finite observation spaces.
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2017–2026
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Variants
ChmmContinuous Hidden Markov Models
Parents
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Decoherence, Continuous Observation, and Quantum Computing: A Cavity QED Model
T. Pellizzari, S. A. Gardiner, J. I. Cirac et al. · Physical Review Letters · 1995 · 795 citations · Full text
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University of California, Berkeley
Berkeley, United States
3 h-index
9 publications
1.4K citations
AT&T (United States)
Bedminster, United States
3 h-index
4 publications
348 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
203 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
3 publications
146 citations

University of Auckland
Auckland, New Zealand
2 h-index
2 publications
385 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
13 publications
266 citations

University of Wrocław
Wroclaw, Poland
2 h-index
5 publications
98 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
129 citations
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PRA · 3 publications · 214 citations
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2 publications · 89 citations
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2 publications · 93 citations
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2 publications · 145 citations
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Repository · 2 publications · 35 citations
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