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PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
16 years 9 days ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
225
Voted
VLSM
2005
Springer
16 years 13 days ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
PDP
2006
IEEE
16 years 29 days ago
A Distributed Query Structure to Explore Random Mappings in Parallel
We explore the possibilities to organize a query data structure in the main memories or hard disks of a cluster computer. The query data structure serves to improve the performanc...
Jan Heichler, Jorg Keller
INFOCOM
2009
IEEE
16 years 1 months ago
Lightweight Coloring and Desynchronization for Networks
—We study the distributed desynchronization problem for graphs with arbitrary topology. Motivated by the severe computational limitations of sensor networks, we present a randomi...
Arik Motskin, Tim Roughgarden, Primoz Skraba, Leon...
SPAA
1993
ACM
15 years 11 months ago
On Gazit and Miller's Parallel Algorithm for Planar Separators: Achieving Greater Efficiency Through Random Sampling
We show how to obtain a work-efficient parallel algorithm for finding a planar separator. The algorithm requires O(rz’ ) time for any given positive constant e.
Philip N. Klein