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» Simple Randomized Algorithms for Closest Pair Problems
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PPSN
2004
Springer
15 years 3 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
CVPR
2008
IEEE
15 years 11 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
SMI
2003
IEEE
142views Image Analysis» more  SMI 2003»
15 years 3 months ago
Approximate Congruence Detection of Model Features for Reverse Engineering
Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reco...
C. H. Gao, Frank C. Langbein, A. David Marshall, R...
GLOBECOM
2006
IEEE
15 years 3 months ago
Sensor Localization from WLS Optimization with Closed-form Gradient and Hessian
— A non-parametric, low-complexity algorithm for accurate and simultaneous localization of multiple sensors from scarce and imperfect ranging information is proposed. The techniq...
Giuseppe Destino, Giuseppe Thadeu Freitas de Abreu
INFOCOM
2010
IEEE
14 years 8 months ago
Optimal Linear Network Coding Design for Secure Unicast with Multiple Streams
—Linear network coding is a promising technology that can maximize the throughput capacity of communication network. Despite this salient feature, there are still many challenges...
Jin Wang, Jianping Wang, Kejie Lu, Bin Xiao, Naiji...