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» Aggregation-based model reduction of a Hidden Markov Model
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 1 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CORR
2011
Springer
197views Education» more  CORR 2011»
12 years 10 months ago
Evidence Feed Forward Hidden Markov Model: A New Type of Hidden Markov Model
Michael DelRose, Christian Wagner, Philip Frederic...
COMPLIFE
2006
Springer
13 years 10 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
AUSAI
2003
Springer
13 years 11 months ago
Reduction of Non Deterministic Automata for Hidden Markov Model Based Pattern Recognition Applications
Most on-line cursive handwriting recognition systems use a lexical constraint to help improve the recognition performance. Traditionally, the vocabulary lexicon is stored in a trie...
Frédéric Maire, Frank Wathne, Alain ...
IDA
2006
Springer
13 years 6 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan