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115
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ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
103
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MM
2010
ACM
14 years 9 months ago
2010
ACM
In this paper a real-time anomaly detection system for video streams is proposed. Spatio-temporal features are exploited to capture scene dynamic statistics together with appearan...
128
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CVPR
2012
IEEE
13 years 2 days ago
2012
IEEE
This paper proposes contour-based features for articulated pose estimation. Most of recent methods are designed using tree-structured models with appearance evaluation only within...
86
Voted
FUIN
2010
14 years 4 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...