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» Learning Generic Prior Models for Visual Computation
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CVPR
2006
IEEE
15 years 11 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
CVPR
2007
IEEE
15 years 11 months ago
In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains
Automatic evaluation of visual tracking algorithms in the absence of ground truth is a very challenging and important problem. In the context of online appearance modeling, there ...
Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa
CVPR
2004
IEEE
15 years 11 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
BTW
2009
Springer
138views Database» more  BTW 2009»
15 years 4 months ago
GEM: A Generic Visualization and Editing Facility for Heterogeneous Metadata
: Many model management tasks, e.g., schema matching or merging, require the manual handling of metadata. Given the diversity of metadata, its many different representations and mo...
Jürgen Göres, Thomas Jörg, Boris St...
ICCV
2009
IEEE
16 years 2 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke