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110
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TIT
2011
113views more  TIT 2011»
14 years 9 months ago
Many-Sources Large Deviations for Max-Weight Scheduling
In this paper, we establish a many-sources large deviations principle (LDP) for the stationary workload of a multi-queue single-server system with simplex capacity, operated under...
Vijay G. Subramanian, Tara Javidi, Somsak Kittipiy...
123
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Low-rank matrix completion by variational sparse Bayesian learning
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
S. Derin Babacan, Martin Luessi, Rafael Molina, Ag...
114
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter
A new method is presented for integration of audio and visual information in multiple target tracking applications. The proposed approach uses a Bayesian filtering formulation an...
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David S...
140
Voted
AGI
2011
14 years 6 months ago
What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
Abstract. Recurrent connectivity, balanced between excitation and inhibition, is a general principle of cortical connectivity. We propose that balanced recurrence can be achieved b...
Janelle Szary, Bryan Kerster, Christopher T. Kello
96
Voted
OKCON
2011
39views more  OKCON 2011»
14 years 5 months ago
Paragogy
This paper describes a new theory of peer-to-peer learning and teaching that we call paragogy. Paragogy's principles were developed by adapting the Knowles's principles...
Joseph Corneli, Charles Jeffrey Danoff