2nd CfP: SPARS 2015 – Cambridge UK – 6-9 July 2015
Abstracts due 20 January 2015Please join us for SPARS 2015 in beautiful and exciting Cambridge, UK.The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop seeks novel ideas and results, both experimental and theoretical, for adaptive sparse representations, sampling and computational methods for high-dimensional data that feature structured combinatorial and geometric foundations. SPARS 2015 will take place at Robinson College, Cambridge, from July 6th to July 9th, 2015 and we welcome you!
- Submission of Paper Abstracts: January 20, 2015
- Notification of Acceptance of Papers: April 22, 2015
- Workshop Dates: July 6th to July 9th, 2015
Call for PapersIn addition to 8 plenary lectures and a special lecture by Emmanuel Candes, the workshop will feature a single track format with approximately 29 standard (20min) talks, 3 highlight (30min) talks, and 3 poster and demo sessions. Contributions (talks and demos) are solicited in one page abstract in double column SPARS workshop abstract format. Talks should present recent and novel research results and these may include material from papers already submitted to a journal. We specifically welcome abstract submissions for technological demonstrations of the mathematical topics within our scope.
A list of those who have agreed to give plenary talks is at http://sigproc.eng.cam.ac.uk/
Contributions to the workshop are solicited in or close to the following areas:
- Sparse coding and representations, vector quantization, and dictionary learning.
- Sparse and low-rank approximation algorithms: performance and complexity analysis, new methodologies.
- Compressive sensing and learning: new theory and methods.
- Dimensionality reduction, feature extraction, classification, detection, and source separation.
- Sparsity measures in approximation theory, information theory and statistics.
- Regularization theory with low-complexity / low-dimensional structures.
- Statistical models and algorithms for sparsity, including Bayesian, likelihood-based, entropy and variational Bayes.
- Sparse network theory and analysis, including dynamic (time-varying) networks and large networks.
- Applications of sparsity and low-rank ideas to areas such as 'recovery without phase' and inverse covariance estimation.
- Big data applications, including but not limited to geophysics, neuroscience, biomedical imaging, array processing, genetics, optics and radar, and feedback control.
A best student paper prize will be awarded. Students who wish to be considered for this prize must submit a six page extended summary in single column workshop format as supplementary material. To be eligible, the main contributor of the work must be a student or must have recently graduated from a Ph.D. program (i.e., after SPARS 2013). The supplementary six page summaries will be used to award the prize, and will not be included in the SPARS 2015 proceedings.Submitted contributions should be of sufficient depth for review by experts in the field.
The submission deadline is January 20, 2015 , at midnight, Greenwich Mean Time. Notification of acceptance will be sent by April 22, 2015.Detailed information on abstract submission is given on the Information for Authors page:Abstracts should contain up to one page of text and mathematics, and an additional page is permitted for figures, tables and references.
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