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» An e-Process Selection Model
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PAMI
1998
85views more  PAMI 1998»
15 years 4 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas
IJON
2008
105views more  IJON 2008»
15 years 3 months ago
Estimating the number of components in a mixture of multilayer perceptrons
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
Madalina Olteanu, Joseph Rynkiewicz
CEC
2009
IEEE
15 years 2 months ago
Multi-objective Combinatorial Optimisation with Coincidence algorithm
-- Most optimization algorithms that use probabilistic models focus on extracting the information from good solutions found in the population. A selection method discards the below...
Warin Wattanapornprom, Panuwat Olanviwitchai, Para...
NIPS
2001
15 years 6 months ago
Orientation-Selective aVLSI Spiking Neurons
We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC...
Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri,...
COR
2008
67views more  COR 2008»
15 years 4 months ago
Selecting compact habitat reserves for species with differential habitat size needs
We propose a model for the design of protected habitat reserves, which maximizes the number of species represented at least once in a limited set of reserved sites or parcels. Mos...
Vladimir Marianov, Charles S. Revelle, Stephanie S...