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» Distributed vision with smart pixels
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ICPR
2006
IEEE
14 years 9 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
CVPR
2010
IEEE
13 years 8 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
RECONFIG
2008
IEEE
140views VLSI» more  RECONFIG 2008»
14 years 2 months ago
Generalised Parallel Bilinear Interpolation Architecture for Vision Systems
Bilinear interpolation is widely used in computer vision for extracting pixel values for positions that lie off the pixel grid in an image. For each sub-pixel, the values of four ...
Suhaib A. Fahmy
CVPR
2010
IEEE
13 years 10 months ago
Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matt...
CVPR
2009
IEEE
15 years 23 days ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...