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ICPR
2008
IEEE
14 years 6 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
TSP
2010
12 years 11 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
CVPR
2009
IEEE
14 years 9 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
CORR
2008
Springer
138views Education» more  CORR 2008»
13 years 5 months ago
Order-Optimal Consensus through Randomized Path Averaging
Gossip algorithms have recently received significant attention, mainly because they constitute simple and robust message-passing schemes for distributed information processing over...
Florence Bénézit, Alexandros G. Dima...
IPPS
1999
IEEE
13 years 9 months ago
Average-Case Analysis of Isospeed Scalability of Parallel Computations on Multiprocessors
We investigate the average-case speed and scalability of parallel algorithms executing on multiprocessors. Our performance metrics are average-speed and isospeed scalability. By m...
Keqin Li, Xian-He Sun