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PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
15 years 9 months 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
VLSM
2005
Springer
15 years 9 months 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
15 years 10 months 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
106
Voted
INFOCOM
2009
IEEE
15 years 10 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...
116
Voted
SPAA
1993
ACM
15 years 8 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