135 search results - page 6 / 27 » Hilbert Space Embeddings of Hidden Markov Models |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
AE
2005
Springer
14 years 20 days ago
2005
Springer
In this paper, we show how an efficient ant based algorithm, called API and initially designed to perform real parameter optimization, can be adapted to the difficult problem of Hi...
TASLP
2002
13 years 6 months ago
2002
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
CEAS
2005
Springer
14 years 19 days ago
2005
Springer
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...