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» Facial Expression Recognition Using a Neural Network
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98
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NIPS
1997
15 years 1 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
HIS
2008
15 years 1 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
MVA
2007
185views Computer Vision» more  MVA 2007»
15 years 1 months ago
An Efficient Method for Human Behavior Identification
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
Fang-Hsuan Cheng, Fu-Tai Chen
79
Voted
ICDAR
2003
IEEE
15 years 5 months ago
Generation of Hierarchical Dictionary for Stroke-order Free Kanji Handwriting Recognition Based on Substroke HMM
This paper describes a method of generating a Kanji hierarchical structured dictionary for stroke-number and stroke-order free handwriting recognition based on substroke HMM. In s...
Mitsuru Nakai, Hiroshi Shimodaira, Shigeki Sagayam...
CISIS
2010
IEEE
14 years 9 months ago
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers
Regulatory cascades consisting of stress-induced gene modules and their transcriptional regulators were recently identified and quantitatively modeled using Artificial Neural Netwo...
Maria Manioudaki, Panayiota Poirazi