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SRDS
2007
IEEE
14 years 3 months ago
Using Hidden Semi-Markov Models for Effective Online Failure Prediction
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that...
Felix Salfner, Miroslaw Malek
IEEEMSP
2002
IEEE
117views Multimedia» more  IEEEMSP 2002»
14 years 1 months ago
Hidden Markov model for automatic transcription of MIDI signals
— This paper describes a Hidden Markov Model (HMM)-based method of automatic transcription of MIDI (Musical Instrument Digital Interface) signals of performed music. The problem ...
Haruto Takeda, Naoki Saito, Tomoshi Otsuki, Mitsur...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
14 years 1 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
GCB
2000
Springer
137views Biometrics» more  GCB 2000»
14 years 17 days ago
Detecting Sporadic Recombination in DNA Alignments with Hidden Markov Models
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
Dirk Husmeier, Frank Wright
EMNLP
2008
13 years 10 months ago
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
Jianfeng Gao, Mark Johnson