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» From Trust to Dependability through Risk Analysis
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NIPS
1997
13 years 9 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
CIVR
2003
Springer
166views Image Analysis» more  CIVR 2003»
14 years 29 days ago
Evaluation of Expression Recognition Techniques
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
Ira Cohen, Nicu Sebe, Yafei Sun, Michael S. Lew, T...
IPSN
2003
Springer
14 years 28 days ago
A Robust Data Delivery Protocol for Large Scale Sensor Networks
Although data forwarding algorithms and protocols have been among the first set of issues explored in sensor networking, how to reliably deliver sensing data through a vast field...
Fan Ye, Gary Zhong, Songwu Lu, Lixia Zhang
TSP
2010
13 years 2 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji
ESWA
2008
123views more  ESWA 2008»
13 years 6 months ago
Computing context-dependent temporal diagnosis in complex domains
Over the years, many Artificial Intelligence (AI) approaches have dealt with the diagnosis problem and its application in complex environments such as medical domains. Model-Based...
José M. Juárez, Manuel Campos, Jos&e...