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TSP
2008
147views more  TSP 2008»
13 years 7 months ago
Decentralized Activation in Dense Sensor Networks via Global Games
Decentralized activation in wireless sensor networks is investigated for energy-efficient monitoring using the theory of global games. Given a large number of sensors which can ope...
V. Krishnamurthy
IJAR
2007
55views more  IJAR 2007»
13 years 7 months ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
ICASSP
2011
IEEE
12 years 11 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 8 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 2 months ago
Sequential Analysis in High Dimensional Multiple Testing and Sparse Recovery
—This paper studies the problem of high-dimensional multiple testing and sparse recovery from the perspective of sequential analysis. In this setting, the probability of error is...
Matt Malloy, Robert Nowak