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TSP
2010
15 years 1 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
CVPR
2012
IEEE
13 years 9 months ago
Multiclass pixel labeling with non-local matching constraints
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
Stephen Gould
CVPR
2005
IEEE
16 years 9 months ago
Spectral Segmentation with Multiscale Graph Decomposition
We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, w...
Florence Bénézit, Jianbo Shi, Timoth...
PIMRC
2010
IEEE
15 years 4 months ago
Asymptotic analysis of distributed multi-cell beamforming
We consider the problem of multi-cell downlink beamforming with N cells and K terminals per cell. Cooperation among base stations (BSs) has been found to increase the system throug...
Subhash Lakshminaryana, Jakob Hoydis, Mérou...
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
14 years 6 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...