619 search results - page 33 / 124 » Experimental Evaluation of Hierarchical Hidden Markov Models |
128
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NIPS
2001
15 years 3 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
116
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
108
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ICDAR
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper presents a new approach for Handwritten Word Recognition based on Hidden Markov Model theory and the sliding window technique. The new approach uses specific singularit...
121
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INTERSPEECH
2010
14 years 8 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
103
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ISMIR
2005
Springer
15 years 7 months ago
2005
Springer
In the “query-by-humming” problem, we attempt to retrieve a specific song from a target set based on a sung query. Recent evaluations of query-by-humming systems show that th...