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PRL
2007
89views more  PRL 2007»
13 years 9 months ago
Segmentation of heterogeneous blob objects through voting and level set formulation
Blob-like structures occur often in nature, where they aid in cueing and the pre-attentive process. These structures often overlap, form perceptual boundaries, and are heterogeneo...
Hang Chang, Qing Yang, Bahram Parvin
PRL
2007
168views more  PRL 2007»
13 years 9 months ago
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
We used the datasets of the NIPS 2003 challenge on feature selection as part of the practical work of an undergraduate course on feature extraction. The students were provided wit...
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A...
PRL
2007
200views more  PRL 2007»
13 years 9 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
PRL
2010
100views more  PRL 2010»
13 years 8 months ago
Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system
The GESTALT-System is a stratified architecture for challenging computer vision tasks. This contribution focuses on the 3rd and 4th layer of it – the grouping and decision layer...
Eckart Michaelsen, Uwe Stilla, Uwe Soergel, Leo J....
PRL
1998
132views more  PRL 1998»
13 years 9 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