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ICIAP
1999
ACM
15 years 10 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli
VLSID
1998
IEEE
117views VLSI» more  VLSID 1998»
15 years 10 months ago
Partial Scan Selection Based on Dynamic Reachability and Observability Information
A partial scan selection strategy is proposed in which flip-flops are selected via newly proposed dynamic reachability and observability measures such that the remaining hard-to-d...
Michael S. Hsiao, Gurjeet S. Saund, Elizabeth M. R...
PRIS
2008
15 years 7 months ago
Comparison of Adaboost and ADTboost for Feature Subset Selection
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
Martin Drauschke, Wolfgang Förstner
ICML
2010
IEEE
15 years 7 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
JRTIP
2006
114views more  JRTIP 2006»
15 years 6 months ago
Sensor band selection for multispectral imaging via average normalized information
The information-rich scene descriptors created by multispectral sensors can act as a bottleneck in further analysis. Many of the spectral band selection methods treat the two under...
Hongzhi Wang, Elli Angelopoulou