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» Objective reduction using a feature selection technique
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CIARP
2010
Springer
13 years 8 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
ICCV
2001
IEEE
14 years 11 months ago
Feature Selection from Huge Feature Sets
The number of features that can be computed over an image is, for practical purposes, limitless. Unfortunately, the number of features that can be computed and exploited by most c...
José Bins, Bruce A. Draper
ISQED
2006
IEEE
107views Hardware» more  ISQED 2006»
14 years 3 months ago
Impact of Gate-Length Biasing on Threshold-Voltage Selection
Gate-length biasing is a runtime leakage reduction technique that leverages on the short-channel effect by marginally increasing the gate-length of MOS devices to significantly ...
Andrew B. Kahng, Swamy Muddu, Puneet Sharma
ICCV
2007
IEEE
14 years 11 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 9 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...