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» Hardware-Efficient Belief Propagation
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 10 days ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
ECCV
2008
Springer
15 years 10 months ago
Toward Global Minimum through Combined Local Minima
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
ICCAD
2003
IEEE
127views Hardware» more  ICCAD 2003»
15 years 8 months ago
A Probabilistic-Based Design Methodology for Nanoscale Computation
As current silicon-based techniques fast approach their practical limits, the investigation of nanoscale electronics, devices and system architectures becomes a central research p...
R. Iris Bahar, Joseph L. Mundy, Jie Chen
JMLR
2010
141views more  JMLR 2010»
14 years 6 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
CVPR
2007
IEEE
16 years 1 months ago
Tracking as Repeated Figure/Ground Segmentation
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
Xiaofeng Ren, Jitendra Malik