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NIPS
2007
15 years 6 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
CVPR
2009
IEEE
16 years 11 months ago
On Edge Detection on Surfaces
Edge detection in images has been a fundamental problem in computer vision from its early days. Edge detection on surfaces, on the other hand, has received much less attention. ...
Michael Kolomenkin, Ayellet Tal, Ilan Shimshoni
CVPR
2003
IEEE
16 years 7 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
CVPR
2006
IEEE
16 years 7 months ago
An Intensity-augmented Ordinal Measure for Visual Correspondence
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
Anurag Mittal, Visvanathan Ramesh
CVPR
2008
IEEE
16 years 7 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye