UPDATE: The proceedings will be published in a special issue of The Journal Of Machine Learning Research, (vol.44, Dec 2015) prior to the workshop date. For that reason, submissions are extended to 10 pages (excluding references and appendix) in JMLR format. The authors of accepted submissions will be asked to provide a camera-ready version within 7 days of acceptance notification.
The goal of this workshop is to bring together feature extraction methods from diverse areas of machine learning in order to compare and contrast them as well as to conduct discussions that will help to improve these methods. Moreover, we aim to identify and explore the fundamental problems that are common to all feature extraction techniques, despite their diversity. We encourage submissions to foster open discussions around such important questions and topics listed in the workshop description.
To make a submission, please send your work to firstname.lastname@example.org by October 10th, 2015 (23:59pm EST). Make sure you get a confirmation email after you submit, if you don't get one please either of the chairs. Submissions should follow JMLR format and be limited to 10 pages, excluding references and appendix.
Submissions will be reviewed by an independent PC Committee on the basis of the following criteria:
- potential for significant results
- impact on machine learning community
Accepted submissions will be published in a special issue of JMLR as well as presented at the workshop as posters and talks. If you do not wish your work to be published in the proceedings, please indicate that in your submission email.