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PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 10 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
ICCV
2007
IEEE
14 years 11 months ago
Fast Pixel/Part Selection with Sparse Eigenvectors
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
Bernard Moghaddam, Yair Weiss, Shai Avidan
ALMOB
2006
89views more  ALMOB 2006»
13 years 9 months ago
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
Katharina Anna Lehmann, Michael Kaufmann, Stephan ...
IPPS
2008
IEEE
14 years 4 months ago
On the representation and multiplication of hypersparse matrices
Multicore processors are marking the beginning of a new era of computing where massive parallelism is available and necessary. Slightly slower but easy to parallelize kernels are ...
Aydin Buluç, John R. Gilbert
DATE
2003
IEEE
124views Hardware» more  DATE 2003»
14 years 3 months ago
Hierarchical Global Floorplacement Using Simulated Annealing and Network Flow Area Migration
– Floorplanning large designs with many hard macros and IP blocks of various sizes is becoming an increasingly important and challenging problem. This paper presents a global flo...
Wonjoon Choi, Kia Bazargan