565 search results - page 8 / 113 » Denoising and recognition using hidden Markov models with ob... |
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
IJCAI
2007
13 years 9 months ago
2007
Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden M...
BMCBI
2010
13 years 7 months ago
2010
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...