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» Approximation Algorithms for Tensor Clustering
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SSD
2005
Springer
173views Database» more  SSD 2005»
14 years 1 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
NIPS
2004
13 years 9 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
UAI
2004
13 years 9 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
FGR
2006
IEEE
217views Biometrics» more  FGR 2006»
14 years 2 months ago
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
Wei Fan, Dit-Yan Yeung
VISUALIZATION
1999
IEEE
14 years 8 days ago
Construction of Vector Field Hierarchies
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
Bjørn Heckel, Gunther H. Weber, Bernd Haman...