Marco Duarte sent me the following:
Hi Igor - I wanted to bring to your attention (and to that of the readership of Nuit Blanche) a symposium that I'm co-organizing in topics that should be of particular interest to you.The website and call for papers are available at http://www.ieeeglobalsip.org/sym/13/ldmospRegards,Marco F. DuarteAssistant ProfessorDepartment of Electrical and Computer EngineeringUniversity of Massachusetts Amherst
GlobalSIP 2013 Symposium on:
Low-Dimensional Models and Optimization in Signal Processing
Sparsity, low-rank, and other low-dimensional geometric models have long been studied and exploited in machine learning, signal processing and computer science. For instance, sparsity has made an impact in the problems of compression, linear regression, subset selection, graphical model learning, and compressive sensing. Similarly, low-rank models lie at the heart of a variety of dimensionality reduction and data interpolation techniques. Additionally, manifold models are able to succinctly characterize complex signal classes that exhibit few degrees of freedom.
The goal of this symposium is to showcase recent developments in the formulation of: (i) new low-dimensional models for high-dimensional data that are concise enough to be informative in signal recovery and information extraction, where examples include sparsity, low-rank matrices, and manifold models; (ii) new signal recovery and information extraction algorithms, in particular optimization-based approaches, that promote solutions well-matched to the aforementioned signal models, where examples include greedy and iterative algorithms, optimization solvers, and heuristic methods; and (iii) new applications where where low-dimensional signal models outperform existing signal processing, signal estimation, and data recovery approaches in the computational, fidelity, or measurement requirement realms.
Submissions of at most 1 page in two-column IEEE format are welcome on topics including:
- Dimensionality Reduction
- Algorithms for Signal Processing
- Signal Models
- Signal Processing
- Compressive Sensing
Paper Submission
Submit papers of at most 1 page in two-column IEEE format through the GlobalSIP website athttp://www.ieeeglobalsip.org/Papers.asp.
Important Dates
Paper Submission Deadline | June 1, 2013 |
Review Results Announce | July 30, 2013 |
Camera-Ready Papers Due | September 7, 2013 |
Organizing Committee
General Co-Chair
Volkan Cevher
Ecole Polytechnique Federale de Lausanne
General Co-Chair
Justin Romberg
Georgia Institute of Technology
Technical Co-Chair
Mark Davenport
Georgia Institute of Technology
Technical Co-Chair
Marco Duarte
University of Massachusetts Amherst
The Symposia will also include those other sessions:
- Advancing Neural Engineering Through Big Data
- Bioinformatics and Systems Biology
- Controlled Sensing For Inference: Applications, Theory and Algorithms
- Cyber-Security and Privacy
- Emerging Challenges in Network Sensing, Inference, and Communication
- Energy Harvesting and Green Wireless Communications
- Graph Signal Processing
- Information Processing in the Smart Grid
- Information Processing over Networks
- Low-Dimensional Models and Optimization in Signal Processing
- Low-Power Systems and Signal Processing
- Millimeter Wave Imaging and Sensing
- Mobile Imaging
- Network Theory
- New Sensing and Statistical Inference Methods
- Optimization in Machine Learning and Signal Processing
- Signal and Information Processing in Finance and Economics
- Software Defined and Cognitive Radios
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