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» Robust Feature Selection Algorithms
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CVPR
2010
IEEE
14 years 5 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
CVPR
2008
IEEE
14 years 11 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
OOPSLA
2009
Springer
14 years 3 months ago
Thorn: robust, concurrent, extensible scripting on the JVM
Scripting languages enjoy great popularity due their support for rapid and exploratory development. They typically have lightweight syntax, weak data privacy, dynamic typing, powe...
Bard Bloom, John Field, Nathaniel Nystrom, Johan &...
IDA
2002
Springer
13 years 9 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CVPR
2004
IEEE
14 years 11 months ago
Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data
We present a novel structure-enhancing adaptive filter guided by features derived from the Gradient Structure Tensor. We employ this filter to reduce noise in seismic data and to ...
Sean M. O'Malley, Ioannis A. Kakadiaris