1405 search results - page 127 / 281 » Anytime Algorithm for Feature Selection |
127
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CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
123
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CLIN
2001
15 years 4 months ago
2001
The present paper evaluates the role selected features and feature combinations play for error detection in spoken dialogue systems. We investigate the relevance of various, readi...
142
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JCP
2008
15 years 2 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
164
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HAIS
2010
Springer
15 years 16 days ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
139
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...