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ICML
2010
IEEE
13 years 10 months ago
Multiagent Inductive Learning: an Argumentation-based Approach
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
Santiago Ontañón, Enric Plaza
ICIP
1999
IEEE
14 years 10 months ago
Face Recognition of Video Sequences in a Mpeg-7 Context Using a Global Eigen Approach
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
Luis Lorente, Luis Torres
ISBI
2006
IEEE
14 years 9 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
PPSN
2004
Springer
14 years 2 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
ICCCN
2007
IEEE
14 years 3 months ago
Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
—Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...