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ICASSP
2008
IEEE
16 years 1 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
196
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ICPR
2010
IEEE
15 years 8 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
CIKM
2008
Springer
15 years 8 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
ESANN
2004
15 years 8 months ago
A Modular Framework for Multi category feature selection in Digital mammography
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
Ranadhir Ghosh, Moumita Ghosh, John Yearwood
TASLP
2008
158views more  TASLP 2008»
15 years 6 months ago
Score-Independent Audio Features for Description of Music Expression
Abstract--During a music performance, the musician adds expressiveness to the musical message by changing timing, dynamics, and timbre of the musical events to communicate an expre...
Luca Mion, Giovanni De Poli