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Discriminative Feature Selection via Multiclass Variable Memory Markov Model
- EURASIP Journal on Applied Signal Processing (JASP), Special issue on Unstructured Information Management from Multimedia Data Sources
, 2002
"... We propose a novel feature selection method based on a Variable Memory Markov model (VMM). The VMM was originally proposed as a generative model trying to preserve the original source statistics from training data. ..."
Abstract
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Cited by 8 (1 self)
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We propose a novel feature selection method based on a Variable Memory Markov model (VMM). The VMM was originally proposed as a generative model trying to preserve the original source statistics from training data.
