318 search results - page 45 / 64 » Learning to Construct Fast Signal Processing Implementations |
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
105
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ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
105
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IJON
2008
14 years 11 months ago
2008
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
106
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
CSL
2006
Springer
14 years 11 months ago
2006
Springer
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...