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Call for papers and posters
The First International Workshop on Deep Learning for PatternRecognition (DLPR 2016) - a VALSE Special Event
To be held in conjunction with the 23rd International Conference onPattern Recognition ICPR 2016
December 4, 2016. Cancun Center, Cancun, Q.Roo, Mexico Workshopsite: (ToDo)
The major goal of this workshop is to provide a platform forresearchers or graduate students around the world to share their progresses ondeep learning for pattern recognition.
Paper Submission Paper Submission must be written in English, with length betweenfour and six double column pages adhering to the ICPR conference submissionguidelines. The templates for 6 pages length Paper (A4 format) in Word or Latexcan be downloaded from
Submission is handledthrough the EasyChair system available from here.Reviewing will be single-blind. In submitting a paper the authors acknowledgethat no paper substantially similar in content has been or will be submittedelsewhere during the DLPR16 review period. Accepted papers that were presentedat the workshop will be published via IEEE Xplore. Some of accepted papers will be invited to the JournalSpecial Issues of Pattern Recognition Letters (Elsevier) and Frontier of Computer Science(Springer).
Poster Submission This workshop will follow the Vision And Learning SEminar (VALSE)fashion to invite posters. Authors of recent relevant papers published inhighly selective international journals and conferences are encouraged tocontribute in the poster session providing highlights of their work. Posterapplication is by e-mail to Workshop Chair at xiang.bai@gmail.com . Accepted postersthat were invited will be presented at the workshop. Authors of the invitedposters do not have to pay any registration fee for this workshop, onlyrequired registering to the main conference of ICPR16
Important dates(tentative) 31 Aug. 2016 Papersubmission deadline 15 Sep. 2016 Notificationof paper acceptance 30 Oct. 2016 Postersubmission deadline 7 Nov. 2016 Notificationof poster acceptance TBA 2016 Camera-readycopy due 4 December 2016 Workshop
Scope and Topics l Deep learning architectures forpattern recognition l Optimization for deep learning l Sparse coding in deep learning l Transfer learning for deeplearning l Deep learning for featurerepresentation l Deep learning for facialanalysis l Deep learning for objectrecognition l Deep learning for sceneunderstanding l Deep learning for documentanalysis l Deep learning for dimensionreduction l Deep learning for activityrecognition l Deep learning for semanticsegmentation l Deep learning for generativemodeling l Deep learning for biometrics l Multi-modal deep learning l Performance evaluation of deeplearning algorithms
Keynote Speakers TBA
Workshop Chairs Xiang Bai HuazhongUniversity Science and Technology Zhaoxiang Zhang Instituteof Automation, Chinese Academy of Sciences Shiguang Shan Instituteof Computing Technology, Chinese Academy of Sciences Chunhua Shen Universityof Adelaide Yi Fang NewYork University Abu Dhabi and New York University Jingdong Wang MicrosoftResearch Asia Yangqing Jia Facebook Shuicheng Yan NationalUniversity of Singapore
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发表于 2016-7-11 14:09:42