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» The Convergence of Iterated Classification
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TOMACS
2010
79views more  TOMACS 2010»
14 years 10 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
TSP
2010
14 years 10 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
142
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CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 7 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
191
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ICASSP
2011
IEEE
14 years 7 months ago
Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Jacob Chakareski
3DIM
2011
IEEE
14 years 4 months ago
Sampling Relevant Points for Surface Registration
—Surface registration is a fundamental step in the reconstruction of three-dimensional objects. This is typically a two-step process where an initial coarse motion estimation is ...
Andrea Torsello, Emanuele Rodolà, Andrea Al...