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» A Neural Network Based Head Tracking System
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JMLR
2006
389views more  JMLR 2006»
15 years 4 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
VR
1993
IEEE
176views Virtual Reality» more  VR 1993»
15 years 9 months ago
Explorations of Display Interfaces for Virtual Reality
The technical limitations of early Virtual Reality systems made them almost teasers for showing the potential of the technology. Since these early days, many researchers have focu...
Michael F. Deering
134
Voted
BIOADIT
2006
Springer
15 years 8 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner
CVPR
2000
IEEE
16 years 7 months ago
Recognizing Upper Face Action Units for Facial Expression Analysis
We develop an automatic system to analyze subtle changes in upper face expressions based on both permanent facial features (brows, eyes, mouth)andtransient facial features (deepen...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
FGR
2000
IEEE
211views Biometrics» more  FGR 2000»
15 years 9 months ago
Recognizing Lower Face Action Units for Facial Expression Analysis
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn