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ECCV
2008
Springer
16 years 8 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
ICIP
2005
IEEE
16 years 8 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICDE
2002
IEEE
102views Database» more  ICDE 2002»
16 years 8 months ago
Cost Models for Overlapping and Multi-Version B-Trees
Overlapping and multi-version techniques are two popular frameworks that transform an ephemeral index into a multiple logical-tree structure in order to support versioning databas...
Yufei Tao, Dimitris Papadias, Jun Zhang
ISBI
2008
IEEE
16 years 7 months ago
Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
Rohini Shankar, Tianliang Gu, Jianhui Zhong, Mathe...
PADL
2010
Springer
16 years 3 months ago
Automating Mathematical Program Transformations
Abstract. Mathematical programs (MPs) are a class of constrained optimization problems that include linear, mixed-integer, and disjunctive programs. Strategies for solving MPs rely...
Ashish Agarwal, Sooraj Bhat, Alexander Gray, Ignac...