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» Learning Generic Prior Models for Visual Computation
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IJVR
2006
124views more  IJVR 2006»
14 years 9 months ago
Improving Virtual Reality Applications in CAD through Semantics
In this article we propose an architecture for the inclusion and exploitation of semantic aspects in a CAD environment. Our schema focuses on the enhancement and improvement of a c...
Carlos Toro, Jorge Posada, Stefan Wundrak, Andr&ea...
NSF
2001
Springer
197views Computer Vision» more  NSF 2001»
15 years 2 months ago
A Collaborative Infrastructure for Mobile and Wireless Systems
Today‘s use of mobile phones is mostly for coordination purposes. It seems reasonable to assume that 3G and 4G high bandwidth systems will be used in a similar way. This paper th...
Lutz Michael Wegner, Morad Ahmad, Stefan Fröh...
CORR
2010
Springer
253views Education» more  CORR 2010»
14 years 10 months ago
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCu...
ICANN
2010
Springer
14 years 11 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
CLOR
2006
15 years 1 months ago
Object Recognition in the Geometric Era: A Retrospective
Recent advances in object recognition have emphasized the integration of intensity-derived features such as affine patches with associated geometric constraints leading to impressi...
Joseph L. Mundy