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» Feature Selection through Dynamic Mesh Optimization
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PRL
1998
132views more  PRL 1998»
15 years 2 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ECCV
2010
Springer
15 years 4 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ARCS
2012
Springer
13 years 10 months ago
Fast Scenario-Based Design Space Exploration using Feature Selection
: This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By...
Peter van Stralen, Andy D. Pimentel
134
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JSAC
2007
177views more  JSAC 2007»
15 years 2 months ago
Achieving Shared Protection for Dynamic Multicast Sessions in Survivable Mesh WDM Networks
— The advances in wavelength-division multiplexing (WDM) technology are expected to facilitate bandwidth-intensive multicast applications. A single fiber failure in such a netwo...
Hongbin Luo, Lemin Li, Hongfang Yu, Sheng Wang
ACIVS
2008
Springer
15 years 8 months ago
Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation
Within a camera network, the contribution of a camera to the observations of a scene depends on its viewpoint and on the scene configuration. This is a dynamic property, as the sc...
Huang Lee, Linda Tessens, Marleen Morbée, H...