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...
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...
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...
— 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...
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...