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» Aggregation-based model reduction of a Hidden Markov Model
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ICPR
2004
IEEE
14 years 8 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
BIRD
2007
Springer
107views Bioinformatics» more  BIRD 2007»
14 years 1 months ago
Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models
The coiled-coil protein domain is a widespread structural motif known to be involved in a wealth of key interactions in cells and organisms. Coiled-coil recognition and prediction ...
Piero Fariselli, Daniele Molinini, Rita Casadio, A...
CEAS
2005
Springer
14 years 28 days ago
Spam Deobfuscation using a Hidden Markov Model
To circumvent spam filters, many spammers attempt to obfuscate their emails by deliberately misspelling words or introducing other errors into the text. For example viagra may be...
Honglak Lee, Andrew Y. Ng
TDSC
2008
87views more  TDSC 2008»
13 years 7 months ago
Credit Card Fraud Detection Using Hidden Markov Model
Due to a rapid advancement in the electronic commerce technology, the use of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for bo...
Abhinav Srivastava, Amlan Kundu, Shamik Sural, Aru...
ICASSP
2011
IEEE
12 years 11 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien