IPBD 2014 - Symposia on Information Processing for Big Data
Topics/Call fo Papers
The emergence of new high-volume data acquisition technologies has created unprecedented amounts of scientific and social data that calls for developing specialized data acquisition and analysis, data mining and learning tools. Petabytes of data from high-throughput sequencers, recommender systems, complex imaging devices, astronomical observatories, and systems such as the Large Hadron Collider, all require sophisticated solutions for information capture, compression, dimensionality-reduction, and compressive computing. The goals of this symposium are twofold: to identify the unique challenges posed by static and dynamic Big Data formats arising in practical applications and to provide an interdisciplinary platform for the exchange of ideas among statisticians, engineers, and experts in signal processing, machine learning and communication theory. The symposium is structured around three focused tracks:
Track 1: Real-time data capture and compression methods
Gigapixel imaging and hyper-spectral imaging, Synthetic Aperture Radar
Time stretch imaging, spectroscopy and real-time data compression
Image compression, Anamorphic data compression, digital pathology and telemedicine
Track 2: Theory and algorithms for dynamic sparse and/or low rank recovery.
Dynamic Compressed Sensing, Sparse Recovery
Dynamic Robust PCA, Dynamic Matrix Completion
Applications to dynamic medical imaging, video analysis, cognitive radios, machine learning
Track 3: Subspace Methods for High-Dimensional Data.
Subspace and Covariance estimation, possibly with missing and corrupted data
Unions-of-subspaces and non-linear manifold models
Machine learning with subspace methods
Keynote Speakers
Track 1:
Vway Roychowdhury, UCLA
Track 2:
Yonina Eldar, Technion
Zhi-Pei Liang, University of Illinois Urbana-Champaign
Bhaskar Rao, UCSD
Track 3:
Justin Romberg, Georgia Tech
Rebecca Willett, University of Wisconsin
Organizers
Track 1 Chairs:
Ali H. Sayed
Bahram Jalali
Mohammad Asghari
Track 2 Chairs:
Olgica Milenkovic
Namrata Vaswani
Track 3 Chairs:
Laura Balzano
Yuejie Chi
Yao Xie
Contacts
For all inquiries and clarifications, please contact Professor Laura Balzano girasole-AT-umich.edu and Professor Namrata Vaswani namrata-AT-iastate.edu
Track 1: Real-time data capture and compression methods
Gigapixel imaging and hyper-spectral imaging, Synthetic Aperture Radar
Time stretch imaging, spectroscopy and real-time data compression
Image compression, Anamorphic data compression, digital pathology and telemedicine
Track 2: Theory and algorithms for dynamic sparse and/or low rank recovery.
Dynamic Compressed Sensing, Sparse Recovery
Dynamic Robust PCA, Dynamic Matrix Completion
Applications to dynamic medical imaging, video analysis, cognitive radios, machine learning
Track 3: Subspace Methods for High-Dimensional Data.
Subspace and Covariance estimation, possibly with missing and corrupted data
Unions-of-subspaces and non-linear manifold models
Machine learning with subspace methods
Keynote Speakers
Track 1:
Vway Roychowdhury, UCLA
Track 2:
Yonina Eldar, Technion
Zhi-Pei Liang, University of Illinois Urbana-Champaign
Bhaskar Rao, UCSD
Track 3:
Justin Romberg, Georgia Tech
Rebecca Willett, University of Wisconsin
Organizers
Track 1 Chairs:
Ali H. Sayed
Bahram Jalali
Mohammad Asghari
Track 2 Chairs:
Olgica Milenkovic
Namrata Vaswani
Track 3 Chairs:
Laura Balzano
Yuejie Chi
Yao Xie
Contacts
For all inquiries and clarifications, please contact Professor Laura Balzano girasole-AT-umich.edu and Professor Namrata Vaswani namrata-AT-iastate.edu
Other CFPs
- 2nd IEEE Global Conference on Signal and Information Processing
- 2014 Workshop on Genomic Signal Processing and Statistics (GENSIPS’14)
- GlobalSIP Symposium: Machine Learning Applications in Speech Processing
- 1st International Workshop on Nano-scale Computing and Communications (NsCC)
- 2nd International Workshop on Advances in Computer Networks, VLSI and Innovative Technologies (ANVIT)
Last modified: 2014-06-12 22:36:00