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» A Novel Framework for Discovering Robust Cluster Results
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FSTTCS
2001
Springer
14 years 1 months ago
On Clustering Using Random Walks
Abstract. We propose a novel approach to clustering, based on deterministic analysis of random walks on the weighted graph associated with the clustering problem. The method is cen...
David Harel, Yehuda Koren
ICASSP
2007
IEEE
14 years 3 months ago
Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
Tran Huy Dat, Cuntai Guan
ICCV
2011
IEEE
12 years 8 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
CVPR
2007
IEEE
14 years 10 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
KBSE
2006
IEEE
14 years 2 months ago
Effective Generation of Interface Robustness Properties for Static Analysis
A software system interacts with its environment through system interfaces. Robustness of software systems are governed by various temporal properties related to these interfaces,...
Mithun Acharya, Tanu Sharma, Jun Xu, Tao Xie