1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
10 years of news and resources for members of the IEEE Signal Processing Society
By Kenneth E. Hild II (MLSP Liaison to E-Newsletter)
The 2012 MLSP Workshop, which was held in The Royal Palace of the Magdalena in Santander, Spain, concluded on September 26. This was the 22nd annual meeting organized by the MLSP TC and was a very successful event. The meeting featured three plenary talks. The plenary speakers, which include two speakers from the Machine Learning and NIPS community, were: Prof. Martin J. Wainwright of UC Berkeley (Learning and Message-Passing in Graphical Models), Dr. Francis Bach from INRIA, France (Large-scale convex optimization for machine learning), and Prof. Ali H. Sayed from UCLA (Adaptation and Learning over Complex Networks). We received a total of 202 submissions, of which 108 were accepted for presentation (53% acceptance ratio). The distribution of accepted papers was as follows: Learning Theory 11%, Bayesian 13%, Speech/Audio 11%, Blind Source Separation 7%, Classification 23%, Image/Video 14%, and Other 21%. The technical program can be found on the workshop website. A total of 124 people registered for the workshop. The registrants were mainly from Europe (60%), USA (29%), and Asia (7%). We would like to thank the following for supporting this year's workshop: Ayuntamiento de Santander, Gobierno de Cantabria Consejeria de Educacion Cultura y Deporte, Amazon Information Security, Pascal 2, Universidad de Cantabria, Universidad Carlos III de Madrid, Asociacion Espanola Ingenieros de Telecomunicacion Cantabria, Gobierno de Espana Ministerio de Ciencia E Innovacion.
The 2013 MLSP Workshop will be held in Istanbul, Turkey, and the 2014 MLSP Workshop will be held in Reims, France. Typically, the paper deadline is in March or April and the meeting is held in September. Be sure to mark your calendars for these two upcoming events.
Data Analysis Competition
For each of the last eight MLSP Workshops, the MLSP TC has hosted a Data Analysis Competition. The most recent competition required the entrants to select/design a classifier and any necessary pre-processing system to correctly classify an employee/resource pair (a resource can be, e.g., a computer, data base, or data portal) into one of two classes: access or non-access. The winner was determined as the submission that minimized the number of manual access grant/removal operations in the disjoint and unpublished testing data. The winning team, the members of which are affiliated with the Indian Institute of Technology, Kanpur, India, consists of: Ankit Gupta, Shashwat Mishra, and Amitabha Mukerjee. The second-place team, the members of which are affiliated with Tampere University of Technology, Tampere, Finland, consists of: Heikki Huttunen, Timo Erkkila, Pekka Ruusuvuori, and Tapio Manninen. The winning teams received Kindle Fire tablet computers from Amazon, free registration to the MLSP Workshop, and a free trip to present their results at Amazon's new headquarters in Seattle, Washington. We wish to congratulate the winners on their achievement.
The MLSP TC recently held an election for membership in the MLSP TC. The term of four of the current TC members expires in December. Three of these members are seeking re-election. In addition, ten new members were nominated. Thirteen total nominees are competing for seven open slots. The results of the voting will be available around mid-November and new members will serve from January 1, 2013, to December 31, 2015. Those who are interested in joining the MLSP TC in the future should read the information on the MLSP TC website.
Quality of Peer Reviewing
At the most recent MLSP TC business meeting in Santander, the TC discussed a number of topics. In addition to workshop reports (past, present, and future), we discussed how to increase the participation from the machine learning community, the free access option for the MLSP proceedings, options for new transactions, and other outreach activities. We also had a discussion on how to improve the quality of peer reviews. On the latter topic, Tulay Adali led an effort to discern how to improve the quality of reviews for ICASSP and ICIP and for other SPS-sponsored workshops. She worked directly with researchers from other TC's including, most notably, Gaurav Sharma, John Hansen, and Ken Sugiyama. The main points that resulted from the discussion with the review panel, which resulted in a set of recommendations to the Conference Board, include:
For anyone who is interested in following MLSP activities, we encourage you to sign up for the MLSP email list. The invitation can be found at the top of the MLSP TC website.
© Copyright 2020 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.