The 2016 first International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE) provides an opportunity for researchers and developers from both academia and industry to present their work, bring state-of-the-art forward and facilitate an active and constructive exchange of ideas on current areas of interest. SPLINE 2016 will be held in Aalborg University at Aalborg, Denmark between July 6 and 8, 2016.
The workshop is co-organised by Aalborg University and COST Action IC1206. It is co-sponsored by Aalborg University, Danish Sound Innovation Network, Thomas B. Thriges Fond and iSocioBot project, and technically co-sponsored by IEEE Denmark Section’s Signal Processing Chapter.
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.
We invite previously unpublished manuscripts directly targeting the following areas: sensing and processing, machine learning and pattern recognition, social and service robots, big data,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
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07月06日
2016
07月08日
2016
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