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137
Voted
WAPCV
2007
Springer
15 years 9 months ago
2007
Springer
We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
101
Voted
IPPS
2006
IEEE
15 years 9 months ago
2006
IEEE
Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- a...
125
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
148
Voted
ICASSP
2008
IEEE
15 years 10 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...
171
Voted
ML
2008
ACM
15 years 3 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...