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CVPR
2005
IEEE
16 years 6 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....
149
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GI
2009
Springer
15 years 1 months ago
A Static Analysis Technique to Detect Unsatisfiable Conditions in Ontology-based Workflows
: Static analysis techniques for consistency checking of workflows allow to avoid runtime errors. This is in particular crucial for long running workflows where errors, detected la...
Gabriele Weiler, Arnd Poetzsch-Heffter, Stephan Ki...
ETFA
2005
IEEE
15 years 9 months ago
A multi-robot system for landmine detection
This paper describes the development of a multi-robot system for Area Reduction in Humanitarian Demining. In spite of the specific requirements imposed to the work being carried ...
Pedro Santana, José Barata, H. Cruz, A. Mes...
TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
ICLP
1997
Springer
15 years 8 months ago
Non-Failure Analysis for Logic Programs
We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
Saumya K. Debray, Pedro López-García...