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CVPR
2007
IEEE
16 years 3 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
SIGIR
2005
ACM
15 years 11 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He
NAR
2010
148views more  NAR 2010»
15 years 16 days ago
SIMAP - a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters
The prediction of protein function as well as the reconstruction of evolutionary genesis employing sequence comparison at large is still the most powerful tool in sequence analysi...
Thomas Rattei, Patrick Tischler, Stefan Götz,...
ICASSP
2011
IEEE
14 years 9 months ago
Estimation of symmetric chi-square divergence for point processes
This paper addresses the estimation of symmetric χ2 -divergence between two point processes. We propose a novel approach by, first, mapping the space of spike trains in an appro...
Il Park, Sohan Seth, Murali Rao, José Carlo...
CEC
2007
IEEE
16 years 3 days ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay