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TIT
2011
113views more  TIT 2011»
14 years 5 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...
ICASSP
2011
IEEE
14 years 2 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...
ICASSP
2011
IEEE
14 years 2 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...
AGI
2011
14 years 2 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
OKCON
2011
39views more  OKCON 2011»
14 years 1 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