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Signal Processing and Machine Learning for Education and Human Learning at Scale
Manuscript Due: October 15, 2016
Publication Date: August 2017
Lecture Date: May 12-13, 2016
Chapter: Seoul
Chapter Chair: Myungjin Bae
Topic: Signals and Noises: The Good, the Bad, and the Ugly
Lecture Date: May 17, 2016
Chapter: Turkey
Chapter Chair: Suleyman Serdar Kozat
Topic: Learning Sparsifying Transforms for Signal, Image, and Video Processing
Lecture Date: June 13, 2016
Chapter: Sweden
Chapter Chair: Peter Handel
Topic: TBD
Lecture Date: June 9, 2016
Chapter: Estonia
Chapter Chair: Tonu Trump
Topic: TBD
Lecture Date: June 8, 2016
Chapter: Finland
Chapter Chair: Konstantinos Drossos
Topic: TBD
Lecture Date: May 19, 2016
Chapter: Pittsburgh
Chapter Chair: Deniz Gencaga
Topic: TBD
Lecture Date: July 7, 2016
Chapter: Romania
Chapter Chair: Constantin Vertan
Topic: Marked Point Processes For Object Detection and Tracking in High Resolution Images: Applications to Remote Sensing and Biology
Lecture Date: May 18, 2016
Chapter: Pittsburgh
Chapter Chair: Deniz Gencaga
Topic: Small, Medium, and Big Data: Application of Machine Learning Methods to the Solution of Real-World Imaging and Printing Problems
Lecture Date: May 17, 2016
Chapter: Pittsburgh
Chapter Chair: Deniz Gencaga
Topic: TBD
Lecture Date: July 1, 2016
Chapter: Romania
Chapter Chair: Constantin Vertan
Topic: Marked Point Processes For Object Detection and Tracking in High Resolution Images: Applications to Remote Sensing and Biology
Lecture Date: June 21, 2016
Chapter: France
Chapter Chair: Jacques Blanc-Talon
Topic: Sensor and Social Networks: A case for Topological Data Analysis
Lecture Date: June 16, 2016
Chapter: France
Chapter Chair: Jacques Blanc-Talon
Topic: Convexity, Sparsity, Nullity and all that....in Data Analysis
October 9-12, 2016
Location: Budapest, Hungary
September 12-14, 2017
Location: Debe, Poland
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