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» Data Classification on Multiple Manifolds
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PODC
2010
ACM
13 years 9 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
14 years 1 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
ASC
2006
13 years 8 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
PAMI
2007
110views more  PAMI 2007»
13 years 6 months ago
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
—This paper focus on noncooperative iris recognition, i.e., the capture of iris images at large distances, under less controlled lighting conditions, and without active participa...
Hugo Proença, Luís A. Alexandre
ICASSP
2009
IEEE
14 years 2 months ago
View-invariant tensor null-space representation for multiple motion trajectory retrieval and classification
In this paper, we propose a novel general framework for tensor based null space affine invariants, namely, tensor null space invariants (TNSI) with a linear classifier for high ...
Xu Chen, Dan Schonfeld, Ashfaq Khokhar