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CVPR
2000
IEEE
14 years 2 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 2 months ago
Quantized consensus via adaptive stochastic gossip algorithm
Abstract— This paper is concerned with the distributed averaging problem over a given undirected graph. To enable every vertex to compute the average of the initial numbers sitti...
Javad Lavaei, Richard M. Murray
STOC
2009
ACM
139views Algorithms» more  STOC 2009»
14 years 10 months ago
Online and stochastic survivable network design
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
PDCAT
2004
Springer
14 years 3 months ago
Stochastic DFS for Multiprocessor Scheduling of Cyclic Taskgraphs
DFS has previously been shown to be a simple and efficient strategy for removing cycles in graphs allowing the resulting DAGs to be scheduled using one of the many well-established...
Frode Eika Sandnes, Oliver Sinnen
SIPS
2007
IEEE
14 years 4 months ago
An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding
Stochastic decoding is a new alternative method for low complexity decoding of error-correcting codes. This paper presents the first hardware architecture for stochastic decoding...
Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gros...