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» An algorithmic framework for network reconstruction
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MOBIHOC
2004
ACM
15 years 11 months ago
A unified MAC layer framework for ad-hoc networks with smart antennas
Smart antennas represent a broad variety of antennas that differ in their performance and transceiver complexity. The superior capabilities of smart antennas, however, can be leve...
Karthikeyan Sundaresan, Raghupathy Sivakumar
CORR
2010
Springer
432views Education» more  CORR 2010»
14 years 11 months ago
A Distributed Trust Management Framework for Detecting Malicious Packet Dropping Nodes in a Mobile Ad Hoc Network
In a multi-hop mobile ad hoc network (MANET) mobile nodes communicate with each other forming a cooperative radio network. Security remains a major challenge for these networks du...
Jaydip Sen
ECCV
2004
Springer
16 years 1 months ago
Automatic Non-rigid 3D Modeling from Video
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Lorenzo Torresani, Aaron Hertzmann
ISBI
2002
IEEE
16 years 13 days ago
On the effectiveness of doubly adaptive estimation for dynamic MRI sequence acquisitions
We present experimentally-acquired MR image sequence reconstruction results and a review of the recently proposed doubly adaptive temporal update method (DATUM) for the acquisitio...
William Scott Hoge, Lawrence P. Panych, Dana H. Br...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 11 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....