PRL
2006
13 years 4 months ago
2006
This paper presents a novel camera network design methodology based on the Parisian evolutionary computation approach. This methodology proposes to partition the original problem ...
PRL
2006
13 years 4 months ago
2006
This paper proposes a new evolutionary region merging method in order to efficiently improve segmentation quality results. Our approach starts from an oversegmented image, which is...
PRL
2006
13 years 4 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
PRL
2006
13 years 4 months ago
2006
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
PRL
2006
13 years 4 months ago
2006
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
PRL
2006
13 years 4 months ago
2006
Images secured from an astronomical telescope usually suffer from blur and from interference that scientists refer to as ``noise''. Therefore, good image restoration tec...
PRL
2006
13 years 4 months ago
2006
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
PRL
2006
13 years 4 months ago
2006
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
PRL
2006
13 years 4 months ago
2006
This paper describes an ant colony optimization approach adopted to decide on road-borders to automatically guide a vehicle developed for the DARPA Grand Challenge 2004, available...
PRL
2006
13 years 4 months ago
2006
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...