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WIOPT
2006
IEEE
15 years 10 months ago
Capacity optimizing hop distance in a mobile ad hoc network with power control
Abstract— In a dense multi-hop network of mobile nodes capable of applying adaptive power control, we consider the problem of finding the optimal hop distance that maximizes a c...
Dinesh Kumar 0002, Venkatesh Ramaiyan, Anurag Kuma...
MICCAI
2005
Springer
16 years 5 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
ICML
2009
IEEE
15 years 11 months ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
CORR
2010
Springer
98views Education» more  CORR 2010»
15 years 4 months ago
Efficient Sketches for the Set Query Problem
We develop an algorithm for estimating the values of a vector x Rn over a support S of size k from a randomized sparse binary linear sketch Ax of size O(k). Given Ax and S, we ca...
Eric Price
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 4 months ago
Free deconvolution for signal processing applications
—Situations in many fields of research, such as digital communications, nuclear physics and mathematical finance, can be modelled with random matrices. When the matrices get la...
Øyvind Ryan, Mérouane Debbah