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» Feature Selection through Dynamic Mesh Optimization
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75
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PRL
1998
132views more  PRL 1998»
14 years 11 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
109
Voted
ECCV
2010
Springer
15 years 2 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 7 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
JSAC
2007
177views more  JSAC 2007»
14 years 11 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 6 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...