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PAMI
2010
146views more  PAMI 2010»
13 years 7 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
WOWMOM
2009
ACM
143views Multimedia» more  WOWMOM 2009»
14 years 3 months ago
Improving partial cover of Random Walks in large-scale Wireless Sensor Networks
Random Walks (RWs) have been considered for information dissemination in large scale, dynamic and unstructured environments, as they are scalable, robust to topology changes and d...
Leonidas Tzevelekas, Ioannis Stavrakakis
ICML
2010
IEEE
13 years 10 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
OPODIS
2004
13 years 10 months ago
Comparison of Failures and Attacks on Random and Scale-Free Networks
Abstract. It appeared recently that some statistical properties of complex networks like the Internet, the World Wide Web or Peer-to-Peer systems have an important influence on the...
Jean-Loup Guillaume, Matthieu Latapy, Cléme...
CIAC
2006
Springer
84views Algorithms» more  CIAC 2006»
14 years 16 days ago
In-Place Randomized Slope Selection
Slope selection is a well-known algorithmic tool used in the context of computing robust estimators for fitting a line to a collection P of n points in the plane. We demonstrate th...
Henrik Blunck, Jan Vahrenhold