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JMLR
2010
202views more  JMLR 2010»
13 years 2 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ICASSP
2011
IEEE
12 years 11 months ago
Fast estimation of the state of the power grid using synchronized phasor measurements
—Both the communication limitation and the measurement properties based algorithm become the bottleneck of enhancing the traditional power system state estimation speed. The avai...
Tao Yang, Anjan Bose
INFOCOM
2011
IEEE
12 years 11 months ago
A real-time multicast routing scheme for multi-hop switched fieldbuses
—The rapid scaling up of Networked Control Systems (NCS) is forcing traditional single-hop shared medium industrial fieldbuses (a.k.a. fieldbuses) to evolve toward multi-hop sw...
Lixiong Chen, Xue Liu, Qixin Wang, Yufei Wang
COMSUR
2011
221views Hardware» more  COMSUR 2011»
12 years 7 months ago
Computational Intelligence in Wireless Sensor Networks: A Survey
—Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many chall...
Raghavendra V. Kulkarni, A. Forster, Ganesh K. Ven...
CVPR
2006
IEEE
14 years 9 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick