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» Learning Feature Distance Measures for Image Correspondences
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ATAL
2011
Springer
12 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
CVPR
2010
IEEE
14 years 5 months ago
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories
We present a feature matching algorithm that leverages bottom-up segmentation. Unlike conventional image-toimage or region-to-region matching algorithms, our method finds corresp...
Jaechul Kim, Kristen Grauman
ICIP
2008
IEEE
14 years 11 months ago
Complex discriminant features for object classification
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
Sunhyoung Han, Nuno Vasconcelos
ECCV
2000
Springer
14 years 1 months ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
VMV
2008
162views Visualization» more  VMV 2008»
13 years 10 months ago
Learning Distinctive Local Object Characteristics for 3D Shape Retrieval
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
Raoul Wessel, Rafal Baranowski, Reinhard Klein