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» Comparing Massive High-Dimensional Data Sets
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CVPR
2005
IEEE
14 years 9 months ago
A Weighted Nearest Mean Classifier for Sparse Subspaces
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...
Cor J. Veenman, David M. J. Tax
SC
2009
ACM
13 years 12 months ago
GPU based sparse grid technique for solving multidimensional options pricing PDEs
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in finance...
Abhijeet Gaikwad, Ioane Muni Toke
BMCBI
2002
134views more  BMCBI 2002»
13 years 7 months ago
CoreGenes: A computational tool for identifying and cataloging "core" genes in a set of small genomes
Background: Improvements in DNA sequencing technology and methodology have led to the rapid expansion of databases comprising DNA sequence, gene and genome data. Lower operational...
Nikhat Zafar, Raja Mazumder, Donald Seto
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 1 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
CVPR
2007
IEEE
14 years 1 months 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