Dear Igor,
I'm a follower of your blog and appreciate your consistent contribution to the research community.....
I am writing to ask if you could kindly advertise our GlobalSIP symposium on "Information Processing for Big Data" on your blog.
The symposium contains three tracks - all of them are related to high-dimensional data but with different focuses. Laura Balzano, Yao Xie and I are co-organizing the track on "Subspace Methods for High-Dimensional Data." The symposium will be held at the 2nd IEEE Global Conference on Signal and Information Processing (GlobalSIP) in Atlanta, GA, December 3-5. The goal of our track is to bring researchers in a variety of areas who have all leveraged low-dimensional subspace structure in math and engineering problems with large numbers of measured variables.
We would be delighted if you could distribute the CFP to your readers. Please see the CFP at http://www.ieeeglobalsip.org/symposium/ipbd.html. The paper deadline is May 16, 2014. Let us know if you have any questions.Best,
Yuejie
Information Processing for Big Data
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
Contacts
For all inquiries and clarifications, please contact Professor Laura Balzano girasole@umich.edu and Professor Namrata Vaswani namrata@iastate.edu
Paper Submission:
Submit papers of at most 4 pages (plus up to one page of references) pages in two-column IEEE
format through the GlobalSIP14 website at http://www.ieeeglobalsip.org/submission.html
May 16, 2014: Paper submission deadline (regular and invited) June 27, 2014: Review results announced September 5, 2014: Camera-ready regular and invited papers due
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