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» Parallelizing Feature Selection
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COLING
2002
15 years 3 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
ICPR
2004
IEEE
16 years 4 months ago
An FPGA-Based Architecture for Real Time Image Feature Extraction
We propose a novel FPGA-based architecture for the extraction of four texture features using Gray Level Cooccurrence Matrix (GLCM) analysis. These features are angular second mome...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Dim...
COLCOM
2005
IEEE
15 years 9 months ago
Symbiotic multi-path routing with attractor selection
In this paper we discuss the effects of symbiosis when using an attractor selection model for multi-path routing in an overlay network. Attractor selection is a biologically inspi...
Kenji Leibnitz, Naoki Wakamiya, Masayuki Murata
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
15 years 8 months ago
Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval
Music classification continues to be an important component of music information retrieval research. An underutilized tool for improving the performance of classifiers is feature ...
Rebecca Fiebrink, Cory McKay, Ichiro Fujinaga
134
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INTERSPEECH
2010
14 years 10 months ago
Feature versus model based noise robustness
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...