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CORR
2008
Springer
211views Education» more  CORR 2008»
15 years 6 months ago
Competitive Design of Multiuser MIMO Systems based on Game Theory: A Unified View
Abstract--This paper considers the noncooperative maximization of mutual information in the Gaussian interference channel in a fully distributed fashion via game theory. This probl...
Gesualdo Scutari, Daniel Pérez Palomar, Ser...
JAIR
2008
135views more  JAIR 2008»
15 years 6 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
SAGA
2007
Springer
16 years 23 days ago
Probabilistic Techniques in Algorithmic Game Theory
We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Spyros C. Kontogiannis, Paul G. Spirakis
SIGCOMM
2004
ACM
16 years 2 days ago
CapProbe: a simple and accurate capacity estimation technique
We present a new capacity estimation technique, called CapProbe. CapProbe combines delay as well as dispersion measurements of packet pairs to filter out samples distorted by cro...
Rohit Kapoor, Ling-Jyh Chen, Li Lao, Mario Gerla, ...
CVPR
2006
IEEE
16 years 8 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán