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» Feature selection in scientific applications
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PAA
2008
13 years 9 months ago
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation
Abstract Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojc...
CCGRID
2004
IEEE
14 years 1 months ago
A multi-path routing service for immersive environments
The Metaverse project aims to develop technology for low-cost, high-resolution networked immersive display environments that can be used for distributed collaboration, exploration...
Sherlia Shi, Lili Wang, Kenneth L. Calvert, Jim Gr...
SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
14 years 3 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
PAMI
2006
206views more  PAMI 2006»
13 years 9 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 10 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac