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ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
15 years 4 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
WACV
2008
IEEE
15 years 3 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
ICC
2007
IEEE
139views Communications» more  ICC 2007»
15 years 3 months ago
TCP Window Based Dynamic Assembly Period in Optical Burst Switching Network
—In OBS network, assembly period and burst drop rate impact the performance of the upper layer. This paper evaluates the effect of parameters of OBS network on the throughput of ...
Shuping Peng, Zhengbin Li, Xinlei Wu, Anshi Xu
COLCOM
2005
IEEE
15 years 3 months ago
On-demand overlay networking of collaborative applications
We propose a new overlay network, called Generic Identifier Network (GIN), for collaborative nodes to share objects with transactions across affiliated organizations by merging th...
Cheng-Jia Lai, Richard R. Muntz