466 search results - page 18 / 94 » Feature subset selection bias for classification learning |
83
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
BIOINFORMATICS
2005
14 years 9 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
110
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LREC
2008
14 years 11 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...