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Subject:
From:
Petteri Nurmi <[log in to unmask]>
Reply To:
Petteri Nurmi <[log in to unmask]>
Date:
Wed, 2 Apr 2008 13:50:06 +0300
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apologies for multiple postings
------------------------------------------------------------------------

ICML/UAI/COLT 2008 workshop: Context-Sensing and Inference for 
Ubiquitous Interaction

July 9, 2008, Helsinki, Finland

Submission deadline: April 25

------------------------------------------------------------------------

TOPIC

Traditionally wireless sensor networks have been used for monitoring 
different physical and environmental conditions. Today there are a whole 
new class of ubiquitous, possibly wearable sensors available, that can 
be used for monitoring and inferring not only physical processes but 
also social and other types of interaction. Also the coverage of these 
sensor networks is much wider. Combined these types of sensor networks 
create an extremely rich source of data. How should advanced statistical 
methods and machine learning techniques be used with this type of data?

Learning and inference from sensor data, when the types of sensors are 
not limited in any way, poses a challenging and almost unlimited terrain 
for novel applications. How can inferred and derived knowledge and 
context information be utilized in different application scenarios? How 
does consumer-oriented applications benefit from this? How about 
industrial applications? What are the methods one can/should use for 
learning and inference and how does one use them?

The workshop encourages submissions both on methodological advances in 
statistical analysis of sensor data, and on novel applications enabled 
by machine learning techniques utilizing this type of data.
Topics of interest include (but are not limited to):

     * Semantically Meaningful abstractions from data (e.g., place 
identification, social analysis, activity recognition/detection etc.)
     * Distributed machine learning
     * Novel methods for handling large volumes of (potentially 
meaningless) data
     * Data segmentation
     * Ubiquitous user models that merge sensed data with personalization
     * Statistical methods for providing feedback on uncertain belief 
states to the user
     * Mobile spatial interaction & sensor fusion
     * Parametrized pseudophysical models for inferred belief states
     * Use of machine learning for instrumented usability research (ie. 
not just online for end users, but to better understand interaction 
behavior)
     * Use of mobile agent- and sensor networks for simulation and 
analyzing viral and social phenomena

IMPORTANT DATES

     * Paper submission deadline: April 25th
     * Acceptance notification: May 26nd

SUBMISSION

The manuscripts should be prepared following the ICML paper submission 
guidelines. The maximum length of submissions is 6 pages for research 
and position papers, and 2 pages for videos and demonstrations.
Submissions should be sent using the EasyChair submission system.

All participants in the workshop need to register for the event. Further 
information will be available later. At least one author of the 
submitted paper is expected to participate and present the paper at the 
workshop.

ORGANIZING COMMITTEE

     * Péter Pál Boda, Nokia Research Center, Palo Alto, USA
     * Wray Buntine, NICTA, Canberra, Australia
     * Patrik Floréen, HIIT, Helsinki, Finland
     * Mark Hansen, UCLA, Los Angeles, USA
     * Jari Kangas, Nokia Research Center, Tampere, Finland
     * Roderick Murray-Smith, Glasgow University, UK
     * Petteri Nurmi, HIIT, Helsinki, Finland
     * Jukka Perkiö, University of Helsinki, Finland
     * Ákos Vétek, Nokia Research Center, Helsinki, Finland

WORKSHOP ORGANIZATION

The workshop takes place on Wednesday 9 July 2008.

The program consists of 1-2 invited talks together with presentations, 
and possibly videos and demonstrations, from the participants. Each 
paper presentation is allocated a time of 20-30 minutes (including Q/A 
time) followed by time for discussions at the end of each session. The 
invited speakers will be announced at a later stage.

CONTACT INFORMATION

If you have questions, please contact csiui08 (at) easychair (dot) org

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