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ESANN
2006
13 years 11 months ago
Robust Local Cluster Neural Networks
Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
Ralf Eickhoff, Joaquin Sitte, Ulrich Rückert
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
14 years 3 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
BMCBI
2007
123views more  BMCBI 2007»
13 years 10 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
MOBIQUITOUS
2007
IEEE
14 years 4 months ago
Towards Scalable and Robust Service Discovery in Ubiquitous Computing Environments via Multi-hop Clustering
Abstract— Large-scale ubiquitous computing environments require scalable and robust service discovery to enable “anytime, anywhere” computing, which is hard to be satisfied ...
Wei Gao
ICML
2010
IEEE
13 years 11 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