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» Robust Feature Selection Algorithms
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KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 2 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
LCN
2007
IEEE
14 years 3 months ago
Efficient MD Coding Core Selection to Reduce the Bandwidth Consumption
- Multiple distribution trees and multiple description (MD) coding are highly robust since they provide redundancy both in network paths and data. However, MD coded streaming inclu...
Sunoh Choi, Sang-Seon Byun, Chuck Yoo
ICCV
2003
IEEE
14 years 11 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
ICCV
2003
IEEE
14 years 11 months ago
Two-Frame Wide Baseline Matching
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Jiangjian Xiao, Mubarak Shah
VC
2008
156views more  VC 2008»
13 years 9 months ago
Spline-based feature curves from point-sampled geometry
Defining sharp features in a 3D model facilitates a better understanding of the surface and aids geometric processing and graphics applications, such as reconstruction, filtering, ...
Joel Daniels II, Tilo Ochotta, Linh K. Ha, Cl&aacu...