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ICPR
2008
IEEE
14 years 8 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
13 years 2 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 11 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 7 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 11 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