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» Analysing Randomized Distributed Algorithms
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138
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ECCV
2008
Springer
16 years 4 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
16 years 2 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
101
Voted
ICC
2007
IEEE
15 years 8 months ago
Energy and Utility Optimization in Wireless Networks with Random Access
— Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks’ nodes work properly without recharging or substituti...
Amir Mahdi Khodaian, Babak Hossein Khalaj
ATAL
2007
Springer
15 years 8 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
113
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CIKM
2005
Springer
15 years 8 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan