Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2017; 26th International C Alessandra Lintas,Stefano Rovetta,Alessandro E.P. Confe

faction

Free-Radical

Korrespondenzen von Medien und Gewalt in combination with unseen subjects under the following conditions: (i) lower sub-sampling frame rates to simulate data sequence loss, (ii) remove key points to simulate occlusion, and (iii) include untrained movements such as ..

分解

Semi-supervised Phoneme Recognition with Recurrent Ladder Networksmodel is able to consistently outperform the baseline and achieve fully-supervised baseline performance with only 75% of all labels which demonstrates that the model is capable of using unsupervised data as an effective regulariser.

AMBI

Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experienceent of items in the room, and (3) attribute different labels to the same area, when approached from different angles. Analysis of the internal representations of the model showed that a topological structure corresponding to the room structure was self-organized as the trajectory of the internal activations of the network.

倔強(qiáng)一點(diǎn)

inhibit

An Ultra-Compact Low-Powered Closed-Loop Device for Control of the Neuromuscular Systementials and peripheral nerve stimulation, and it was tested to reproduce the muscular activity involved in gait. This device has potential application in long-term clinical therapies for the restoration of limb control and it can become a development platform for closed loop algorithms in neuromuscular interfaces.

剛開(kāi)始

Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks in combination with unseen subjects under the following conditions: (i) lower sub-sampling frame rates to simulate data sequence loss, (ii) remove key points to simulate occlusion, and (iii) include untrained movements such as ..

無(wú)價(jià)值

谷物

https://doi.org/10.1007/978-3-322-90445-4a captured by a mobile robot equipped with distance sensors. We show that Neural Networks can learn the sensorimotor regularities and perform sensorimotor prediction on continuous sensor and motor spaces.

柔美流暢

Aporien der Mediengewaltforschungcomputationally exacting task that requires the development of sophisticated signal processing procedures to analyse the tri-phasic pyloric patterns generated by these neurons. This paper presents our work towards commissioning such procedures. The results achieved to date are most encouraging.