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» Algorithmic models for sensor networks
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124
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NIPS
2007
15 years 5 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
155
Voted
AAAI
2012
13 years 6 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
121
Voted
ICASSP
2008
IEEE
15 years 10 months ago
An information theoretic approach to processing management
In region surveillance applications, sensors oftentimes accumulate an overwhelmingly large amount of data, making it infeasible to process all of the collected data in real-time. ...
Christopher M. Kreucher, Kevin M. Carter
SLIP
2009
ACM
15 years 10 months ago
Predicting the worst-case voltage violation in a 3D power network
This paper proposes an efficient method to predict the worst case of voltage violation by multi-domain clock gating in a three-dimensional (3D) on-chip power network considering l...
Wanping Zhang, Wenjian Yu, Xiang Hu, Amirali Shaya...
120
Voted
ICALP
2010
Springer
15 years 8 months ago
Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests
The placement of regenerators in optical networks has become an active area of research during the last years. Given a set of lightpaths in a network G and a positive integer d, re...
George B. Mertzios, Ignasi Sau, Mordechai Shalom, ...
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