Nick Kingsbury just let me know about the 2nd CfP of SPARS 2015
2nd
CfP: SPARS 2015 – Cambridge UK – 6-9 July 2015
Abstracts due 20 January 2015
Please
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!
Important Dates
- 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 Papers
In
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.
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.
Abstracts should contain up
to one page of text and mathematics, and an additional
page is permitted for figures, tables and references.
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
No comments:
Post a Comment