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IJCV
2006
236views more  IJCV 2006»
15 years 4 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
JIRS
2010
104views more  JIRS 2010»
15 years 2 months ago
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Abstract This paper presents a methodology based on a variation of the Rapidlyexploring Random Trees (RRTs) that generates feasible trajectories for a team of autonomous aerial veh...
Armando Alves Neto, Douglas Guimarães Macha...
JMLR
2012
13 years 6 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
CVPR
2012
IEEE
13 years 6 months ago
What is optimized in tight convex relaxations for multi-label problems?
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
Christopher Zach, Christian Hane, Marc Pollefeys
CISS
2007
IEEE
15 years 10 months ago
Coverage-Based Information Retrieval for Lifetime Maximization in Sensor Networks
—We consider information retrieval in a wireless sensor network deployed to monitor a spatially correlated random field. We address sensor scheduling in each data collection und...
Tong Zhao, Qing Zhao