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CORR
2011
Springer
153views Education» more  CORR 2011»
13 years 5 months ago
Partially Linear Bayesian Estimation with Application to Sparse Approximations
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...
Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar
DAC
2008
ACM
14 years 11 months ago
Faster symmetry discovery using sparsity of symmetries
Many computational tools have recently begun to benefit from the use of the symmetry inherent in the tasks they solve, and use general-purpose graph symmetry tools to uncover this...
Paul T. Darga, Karem A. Sakallah, Igor L. Markov
DCAI
2008
14 years 16 days ago
Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodolo...
Aitor Mata, Emilio Corchado, Bruno Baruque
TIT
2008
103views more  TIT 2008»
13 years 10 months ago
Fast Distributed Algorithms for Computing Separable Functions
The problem of computing functions of values at the nodes in a network in a fully distributed manner, where nodes do not have unique identities and make decisions based only on loc...
Damon Mosk-Aoyama, Devavrat Shah
COLT
2007
Springer
14 years 4 months ago
Resource-Bounded Information Gathering for Correlation Clustering
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
Pallika Kanani, Andrew McCallum