MPRSS 2018 - 2018 Workshop on Multimodal pattern recognition for social signal processing in human computer interaction

ICPR 2018 Workshop on
Multimodal pattern recognition for social signal processing in human computer interaction
MPRSS 2018, Beijing, China, August 20, 2018
https://neuro.informatik.uni-ulm.de/MPRSS2018/
Workshop proceedings will be published as postconference procedeedings as Springer LNAI volume.
Please visit the workshop webpage for updates!
Important dates
Submission deadline July 20, 2018
Notification of acceptance July 25, 2018
Workshop August 20, 2018
Camera ready paper October 1, 2018
(postconference prodeedings)
MPRSS 2018 mainly focuses on pattern recognition, machine learning and information fusion methods
for the perception of the user’s affective state, activities and intentions. Building intelligent artificial
companions capable to interact with humans in the same way humans interact with each other is a
major challenge in affective computing research. Such a type of interactive companion must be capable
of perceiving and interpreting information about the user in order to be able to produce an appropriate response.
The workshop topics include but are not limited to:
A. Pattern Recognition and Machine Learning Algorithms to recognize emotions, activities and intentions
· Learning from unlabeled and partially labeled data
· Learning with noisy labels
· Deep learning architectures
· Learning of time series
B. Algorithms to combine information from multiple modalities
· Information fusion (early, late, intermediate fusion)
· Multi Classifier Systems and Multi View Classifiers
· Temporal information fusion
· Dealing with Uncertainty
C. Applications relevant to the workshop
· Intelligent interaction
· Assistive systems and companion systems
· Applications, e.g. in healthcare, recognition of Pain, elderly care
D. Datasets and benchmarks relevant to the workshop topics
Workshop Organizers
Friedhelm Schwenker (contact)
University of Ulm, Germany
friedhelm.schwenker-AT-uni-ulm.de
Stefan Scherer
University of Southern California
scherer-AT-ict.usc.edu