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» An Adaptable and Extensible Geometry Kernel
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ESANN
2004
13 years 8 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
TMC
2008
210views more  TMC 2008»
13 years 6 months ago
Adaptive Cluster-Based Data Collection in Sensor Networks with Direct Sink Access
Recently wireless sensor networks featuring direct sink access have been studied as an efficient architecture to gather and process data for numerous applications. In this paper, w...
Mahdi Lotfinezhad, Ben Liang, Elvino S. Sousa
CVPR
2005
IEEE
14 years 8 months ago
Graph Embedding: A General Framework for Dimensionality Reduction
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
AES
2007
Springer
75views Cryptology» more  AES 2007»
13 years 6 months ago
Improved FVM for two-layer shallow-water models: Application to the Strait of Gibraltar
This paper deals with the numerical simulation of flows of stratified fluids through channels with irregular geometry. Channel crosssections are supposed to be symmetric but no...
Manuel Jose Castro Díaz, José A. Gar...
ICCV
2007
IEEE
14 years 8 months ago
Correspondence Establishment in Statistical Modeling of Shapes with Arbitrary Topology
Correspondence establishment is a key step in statistical shape model building. There are several automated methods for solving this problem in 3D, but they usually can only handl...
Ekaterina Syrkina, Gábor Székely, Mi...