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» Clustering with Local and Global Regularization
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JSSPP
2005
Springer
14 years 1 months ago
Workload Analysis of a Cluster in a Grid Environment
With Grids, we are able to share computing resources and to provide for scientific communities a global transparent access to local facilities. In such an environment the problems...
Emmanuel Medernach
PR
2006
122views more  PR 2006»
13 years 7 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt
JMIV
2008
121views more  JMIV 2008»
13 years 7 months ago
A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Every stereovision application must cope with the correspondence problem. The space of the matching variables, often consisting of spatial coordinates, intensity and disparity, is...
Rami Ben-Ari, Nir A. Sochen
IJON
2010
178views more  IJON 2010»
13 years 6 months ago
An empirical study of two typical locality preserving linear discriminant analysis methods
: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are two recently proposed LDA methods. They are developed independently with the a...
Lishan Qiao, Limei Zhang, Songcan Chen
PR
2006
164views more  PR 2006»
13 years 7 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung