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» An Object Tracking Scheme Based on Local Density
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120
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ISBI
2006
IEEE
16 years 1 months ago
Automatic landmark tracking applied to optimize brain conformal mapping
Important anatomical features on the cortical surface are usually represented by landmark curves, called sulcal/gyral curves. Manual labeling of these landmark curves is time-cons...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
JACIII
2006
97views more  JACIII 2006»
15 years 16 days ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
107
Voted
CGF
2010
169views more  CGF 2010»
15 years 20 days ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
167
Voted
SCN
2008
Springer
147views Communications» more  SCN 2008»
15 years 14 days ago
Privacy-preserving secure relative localization in vehicular networks
Relative location information helps build vehicle topology maps. Such maps provide location information of nearby vehicles to drivers. In building a vehicle topology, one must cons...
Lei Tang, Xiaoyan Hong, Phillip G. Bradford
119
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SSIAI
2000
IEEE
15 years 5 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal