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ICC
2011
IEEE
205views Communications» more  ICC 2011»
7 years 7 months ago
Decentralized Cross-Tier Interference Mitigation in Cognitive Femtocell Networks
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...
Mehdi Bennis, Samir Medina Perlaza
ICASSP
2011
IEEE
7 years 12 months ago
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
Pascal Bianchi, Gersende Fort, Walid Hachem, J&eac...
TOMACS
2010
79views more  TOMACS 2010»
8 years 2 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
CDC
2010
IEEE
8 years 3 months ago
Stochastic approximation for consensus with general time-varying weight matrices
This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
Minyi Huang
NIPS
2008
8 years 9 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
8 years 11 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
EMMCVPR
2005
Springer
9 years 1 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
HUMO
2007
Springer
9 years 2 months ago
3D Hand Tracking in a Stochastic Approximation Setting
Abstract. This paper introduces a hand tracking system with a theoretical proof of convergence. The tracking system follows a model-based approach and uses image-based cues, namely...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
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