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VLDB
2000
ACM
229views Database» more  VLDB 2000»
14 years 6 days ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
ISNN
2007
Springer
14 years 2 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
ISBI
2006
IEEE
14 years 9 months ago
Segmenting a beating heart using polysegment and Spatial GPCA
Given a volume of cardiac MR images, we consider the problem of segmenting the heart based on intensity and dynamics. We first segment the heart and the chest from the background ...
Avinash Ravichandran, René Vidal, Henry Hal...
ACST
2006
13 years 10 months ago
Distributed hierarchical document clustering
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
ICASSP
2010
IEEE
13 years 8 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld