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» Learning Implied Global Constraints
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CVPR
2012
IEEE
11 years 10 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
INFOCOM
2003
IEEE
14 years 1 months ago
Algorithms for Computing QoS Paths with Restoration
— There is a growing interest among service providers to offer new services with Quality of Service (QoS) guaranties that are also resilient to failures. Supporting QoS connectio...
Yigal Bejerano, Yuri Breitbart, Rajeev Rastogi, Al...
EMNLP
2006
13 years 9 months ago
Inducing Temporal Graphs
We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of tex...
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, R...
ICCV
2007
IEEE
14 years 2 months ago
Learning The Discriminative Power-Invariance Trade-Off
We investigate the problem of learning optimal descriptors for a given classification task. Many hand-crafted descriptors have been proposed in the literature for measuring visua...
Manik Varma, Debajyoti Ray
ECCV
2008
Springer
14 years 10 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