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» On the Complexity of Train Assignment Problems
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ICML
2008
IEEE
16 years 4 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
KES
1998
Springer
15 years 8 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...
CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 3 months ago
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita...
SAC
2010
ACM
15 years 10 months ago
A simple role mining algorithm
Complex organizations need to establish access control policies in order to manage access to restricted resources. Role Based Access Control paradigm has been introduced in ’90 ...
Carlo Blundo, Stelvio Cimato
124
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ICALT
2008
IEEE
15 years 10 months ago
A Framework for Semantic Group Formation
Collaboration has long been considered an effective approach to learning. However, forming optimal groups can be a time consuming and complex task. Different approaches have been ...
Asma Ounnas, Hugh C. Davis, David E. Millard