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» A Numerical Adaptive Algorithm for the Obstacle Problem
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ECCV
2002
Springer
14 years 9 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs
TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 4 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...
ICC
2009
IEEE
127views Communications» more  ICC 2009»
14 years 2 months ago
Utility-Based User Grouping and Bandwidth Allocation for Wireless Multicast Systems
Abstract—With the proliferation of wireless multimedia applications, multicast/broadcast has been recognized as an efficient technique to transmit a large volume of data to mult...
Juan Liu, Wei Chen, Zhigang Cao, Ying Jun Zhang, S...
TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...