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» A selective sampling approach to active feature selection
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PAKM
2008
15 years 3 months ago
Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
Chong Chen, Hongfei Yan, Xiaoming Li
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 7 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
CVPR
2006
IEEE
16 years 3 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
154
Voted
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
15 years 7 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
ICPR
2004
IEEE
16 years 2 months ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni