Bedridden patients can present physical and mental illnes
because of this condition. There are some protocols for avoiding such issues, but either they are to expensive, sensitive to human error or just not applied because of its...
CML partners will co-organize a
Workshop on Computational Models for Crossmodal Learning at IEEE ICDL-EPIROB 201718 September, 2017 in Lisbon, Portugal.
Please click
here
for the workshop program and details.
The second CML project summer school will take place
from August 28 to September 03 2017 at the University of Hamburg.
Please click
here
for the summer school program and further information.
Mnemosyne is a team in computational neuroscience in Bordeaux, hosted in the NeuroCampus with neuroscientists and medical people. Our scientific positioning is about Mnemonic Synergy (hence Mnemosyne), the study of interactions between...
Autonomous Systems like self-driving cars and collaborative robots in Industrie 4.0 can form hybrid teams with humans and softbots. They must occasionally ask people around them for help in anomalous situations. A new generation of...
Computers can store large amounts of data that are
hard to oversee and to keep track of. This talk explains some of the
ways how computers can produce meaningful and purposeful text from
non-linguistic data. We look at three different...
Abstract:
In the past an efficient and satisfactory image search was only possible by using a combation of keywords and low-level visual image features. Recently Convolutional Neural Networks (CNNs) have enabled automatic understanding...
Speech is arguably the most natural and important means for human communication. In recent years, speech has become more and more feasible and important also for human-computer interaction. As many speech communications devices like...
Current developments in sensor hardware and display technologies have perhaps forever changed the way we interact with digital information, communicate with each other, or spend our leisure time. I will give an overview of my previous...
We investigate Echo State Networks (ESN), which implement a new training paradigm for recurrent neural networks. We first demonstrate their gesture classification performance considering two feature sets with very distinct complexity...
