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» Balancing Applied to Maximum Network Flow Problems
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CVPR
2008
IEEE
14 years 9 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
LCTRTS
2000
Springer
13 years 11 months ago
An Integrated Push/Pull Buffer Management Method in Multimedia Communication Environments
Multimedia communication systems require not only high-performance computer hardware and highspeed networks, but also a buffer management mechanism to process voluminous data effi...
Sungyoung Lee, Hyonwoo Seung, Taewoong Jeon
EUROPAR
2010
Springer
13 years 7 months ago
Optimized On-Chip-Pipelined Mergesort on the Cell/B.E
Abstract. Limited bandwidth to off-chip main memory is a performance bottleneck in chip multiprocessors for streaming computations, such as Cell/B.E., and this will become even mor...
Rikard Hultén, Christoph W. Kessler, Jö...
NN
2002
Springer
136views Neural Networks» more  NN 2002»
13 years 7 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
RTSS
2008
IEEE
14 years 1 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fus...
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,...