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» A New Discriminative Kernel From Probabilistic Models
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NIPS
2004
14 years 11 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
ICANN
2011
Springer
14 years 1 months ago
Person Tracking Based on a Hybrid Neural Probabilistic Model
This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. Due to the difficulty of detecting a pe...
Wenjie Yan, Cornelius Weber, Stefan Wermter
JAISE
2011
179views more  JAISE 2011»
14 years 21 days ago
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...
Wenjie Yan, Cornelius Weber, Stefan Wermter
TNN
2008
129views more  TNN 2008»
14 years 9 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens

Publication
336views
15 years 3 months ago
A Discriminative approach for Wavelet Shrinkage Denoising
This paper suggests a discriminative approach for wavelet denoising where a set of mapping functions (MF) are applied to the transform coefficients in an attempt to produce a noi...
Yacov Hel-Or and Doron Shaked