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TIT
2008
121views more  TIT 2008»
13 years 8 months ago
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
This paper considers the maximization of information rates for the Gaussian frequency-selective interference channel, subject to power and spectral mask constraints on each link. T...
Gesualdo Scutari, Daniel Pérez Palomar, Ser...
CVPR
2011
IEEE
13 years 15 days ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
AAIM
2007
Springer
97views Algorithms» more  AAIM 2007»
14 years 24 days ago
Efficiency of Data Distribution in BitTorrent-Like Systems
BitTorrent (BT) in practice is a very efficient method to share data over a network of clients. In this paper we extend the recent work of Arthur and Panigrahy [1] on modelling the...
Ho-Leung Chan, Tak Wah Lam, Prudence W. H. Wong
APPROX
2006
Springer
120views Algorithms» more  APPROX 2006»
14 years 16 days ago
Single-Source Stochastic Routing
Abstract. We introduce and study the following model for routing uncertain demands through a network. We are given a capacitated multicommodity flow network with a single source an...
Shuchi Chawla, Tim Roughgarden
DCC
2009
IEEE
14 years 9 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang