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JMLR
2011
133views more  JMLR 2011»
15 years 1 months ago
Operator Norm Convergence of Spectral Clustering on Level Sets
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
Bruno Pelletier, Pierre Pudlo
BMCBI
2008
124views more  BMCBI 2008»
15 years 6 months ago
Inferring modules of functionally interacting proteins using the Bond Energy Algorithm
Background: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
CLUSTER
2006
IEEE
16 years 15 days ago
Matrix Multiplication on Two Interconnected Processors
This paper presents a new partitioning algorithm to perform matrix multiplication on two interconnected heterogeneous processors. Data is partitioned in a way which minimizes the ...
Brett A. Becker, Alexey L. Lastovetsky
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 6 months ago
Random Indexing K-tree
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
Christopher M. De Vries, Lance De Vine, Shlomo Gev...
CVPR
2007
IEEE
16 years 8 months ago
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...