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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 days 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 8 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 8 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 10 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 5 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