Machines are playing an ever-increasing role in how we conduct our daily lives and business, and this
trend is certainly not expected to slow down any time soon. Intelligent machines and robots
penetrate into every corner of our environments, and interlink humans, physical and digital worlds.
Key scientific areas include sensing, signal and data processing, and machine learning. These areas
are challenging, but exciting ones, and require bringing together several central technologies in a
harmonious way. It is therefore not surprising that interest in these areas has surged in recent years,
and activities are now very high.
This workshop aims at creating a forum for researchers and engineers from a wide variety of
disciplines related to creating intelligent machines and robots. We encourage contributions that will
bring state-of-the-art forward, and facilitate an active and constructive exchange of ideas on current
areas of interest. The workshop will feature keynote speeches, industrial talks, invited presentations
and presentations with full paper submissions, and demos.
Scope
We invite previously unpublished manuscripts directly targeting areas related to sensing and
processing, machine learning and pattern recognition, social and service robots, big data, biometrics
and de-identification. The scope includes, but is not limited to:
 Sensing Technology
 Audio and Speech Processing
 Computer Vision and Image Processing
 Signal Processing
 Data Science and Big Data
 Recommender Systems
 Pattern Recognition and
Machine Learning
 Deep Learning
 Artificial Intelligence
 Perceptual Models
 Social and Service Robots
 Human-Robot Interaction
 Biometrics, Soft-Biometrics and
De-identification
 Privacy Protection
Paper Submission
Prospective authors are invited to submit original work, in English, with up to 4 pages for technical
content including figures and possible references, and with one additional optional 5th
page
containing only references. All accepted papers are expected to be included in IEEE Xplore and will be
indexed by EI. Detailed information can be found at http://spline2016.aau.dk/submissions. Authors
of selected papers will be invited to submit extensions of their work to a special issue
of NEUROCOMPUTING (IF: 2.083): Machine Learning for Non-Gaussian Data Processing.