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ICPR
2008
IEEE
14 years 2 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
TNN
2008
105views more  TNN 2008»
13 years 8 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
BMCBI
2010
151views more  BMCBI 2010»
13 years 8 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
IPPS
2010
IEEE
13 years 6 months ago
Robust control-theoretic thermal balancing for server clusters
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Yong Fu, Chenyang Lu, Hongan Wang
PAMI
2010
119views more  PAMI 2010»
13 years 6 months ago
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks
—Multigrid solvers proved very efficient for solving massive systems of equations in various fields. These solvers are based on iterative relaxation schemes together with the app...
Dan Kushnir, Meirav Galun, Achi Brandt