DEC 20

MISP 2014 : Machine Learning and Signal Processing: Call of Participation and Paper Submission


Conference CFP




  20 Dec 2014 through 23 Dec 2014

CFP Deadline:

  31 Oct 2014


  , New Delhi

Website URL:


  Engineering & Technology > Computer/Informatics

Cloud tags:

Event description:

Machine Learning and Signal Processing: IEEE SPS Winter School and Workshop (20 - 23 December, 2014), New Delhi, India


Link to winter school and workshop:


Winter School and Workshop on Machine Intelligence and Signal Processing, December 20-23, 2014

IIIT-Delhi (India) invites you to participate in the IEEE SPS winter school and workshop on MISP. The winter school is designed on the broad topic of machine learning and signal processing. Today, various acquisition devices collect and generate massive amount of data. Processing and analyzing such data is usually beyond our mental capacities. We resort to automated processing and analysis techniques to retrieve information from this data deluge. It is therefore important to understand the state of art approaches in related research areas. The winter school on machine learning and signal processing plans to bring world class academicians and researchers to teach the latest in machine intelligence and signal processing. Such an event to impart machine learning and signal processing education to the students and young professionals have not been organised before. Unlike conferences, where the major focus is on research, the winter school will concentrate on imparting world class education. The winter school will cover various topics on Computer Vision, Statistical Signal Processing, Social Learning, Bio-informatics, Compressed Sensing, Matrix Completion, Biometrics, Big Data, Medical Imaging, Video Processing. Speakers from academic institutions and corporate research labs will deliver over 12 lectures on different topics and close interaction with them is also planned. More details about speakers are available at:

Paper submission details and instructions:

Posting date:

23 October 2014
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