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» Efficient Training of Sensor Networks
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ECAI
2010
Springer
15 years 3 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
AAAI
2004
15 years 3 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
ICAT
2006
IEEE
15 years 8 months ago
Fault Diagnosis System for Turbo-Generator Set Based on Fuzzy Neural Network
When a fault such as unbalance occurs in a turbo-generator set, sensors should be put on its bearing to detect vibration signals for extracting fault symptoms, but the relationshi...
Ping Yang, Qing-miao Wang
IROS
2008
IEEE
108views Robotics» more  IROS 2008»
15 years 8 months ago
Synchronous imitation control for biped robot based on wearable human motion analysis system
— To achieve accurate and efficient interaction with humans, robot training is indispensable to make robot cooperate with different host. We are focusing on development of a huma...
Tao Liu, H. Utsunomiya, Yoshio Inoue, Kyoko Shibat...
ICLP
2009
Springer
16 years 2 months ago
A Language for Large Ensembles of Independently Executing Nodes
We address how to write programs for distributed computing systems in which the network topology can change dynamically. Examples of such systems, which we call ensembles, include ...
Michael P. Ashley-Rollman, Peter Lee, Seth Copen G...