AVHD 2015 - Special session on the Analysis and visualization of high dimensional and complex data structures
Date2015-12-07 - 2015-12-10
Deadline2015-06-30
VenueCape Town, South Africa
Keywords
Websitehttps://ieee-ssci.org.za
Topics/Call fo Papers
Special session on the
*Analysis and visualization of high dimensional and complex data structures*
at the IEEE Symposium on Computational Intelligence and Data Mining, IEEE Symposium Series in Computational Intelligence 2015
7 - 10 December 2015, Cape Town, South Africa (http://ieee-ssci.org.za/)
***
IMPORTANT DATES
Paper submission: June 30, 2015
Author notifications: September 4, 2015
Camera-ready submission: October 4, 2015
Early registration: October 4, 2015
Conference Dates: December 7 - 10, 2015
***
Due to improved sensor technology, storage space, and data technology, digital
data sets are rapidly increasing as concerns size, dimensionality, and complexity.
On the one hand, the dimensionality of data can easily reach a few thousand
(e.g. spectral and hyperspectral data, genomic data such as SNP) and data
sources are often enriched by auxiliary information which gives crucial clues to
avoid overfitting. On the other hand, data often display a specific structure
which prohibits a direct vectorial representation of data, such as sequences,
graph structures, networks, etc. These facts demand for advanced tools to
cope with these data such that a fully automated or interactive analysis of the
data becomes possible. Within the session, the focus will lie on advanced data
analysis and data visualization techniques with a particular focus on very high
dimensional or non-vectorial data, connected to the following non-exhaustive
list of topics:
*Topics*
? machine learning for graph data,
? dimensionality reduction for very high dimensional data,
? efficient embedding techniques for structured data,
? probabilistic modeling of non-vectorial data,
? natural priors for high dimensional or structured data,
? random projection and sparse representation,
? regularized metric learning,
? biomedical applications,
? network analysis.
*Organizers*
- Barbara Hammer: CITEC centre of excellence, Bielefeld University,
Germany, bhammer-AT-techfak.uni-bielefeld.de
- Alessio Micheli: Department of Computer Science, University of Pisa,
Italy, micheli-AT-di.unipi.it
- Frank-Michael Schleif: School of Computing Science, Univ. Birmingham,
U.K., schleify-AT-cs.bham.ac.uk
*Paper Submission Procedure*
Submissions must contain original work. Authors must submit their paper through the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/
Accepted papers will be included in the IEEE SSCI 2015 proceedings and indexed through IEEExplore.
Further information and Paper submission can be found at the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/
*Analysis and visualization of high dimensional and complex data structures*
at the IEEE Symposium on Computational Intelligence and Data Mining, IEEE Symposium Series in Computational Intelligence 2015
7 - 10 December 2015, Cape Town, South Africa (http://ieee-ssci.org.za/)
***
IMPORTANT DATES
Paper submission: June 30, 2015
Author notifications: September 4, 2015
Camera-ready submission: October 4, 2015
Early registration: October 4, 2015
Conference Dates: December 7 - 10, 2015
***
Due to improved sensor technology, storage space, and data technology, digital
data sets are rapidly increasing as concerns size, dimensionality, and complexity.
On the one hand, the dimensionality of data can easily reach a few thousand
(e.g. spectral and hyperspectral data, genomic data such as SNP) and data
sources are often enriched by auxiliary information which gives crucial clues to
avoid overfitting. On the other hand, data often display a specific structure
which prohibits a direct vectorial representation of data, such as sequences,
graph structures, networks, etc. These facts demand for advanced tools to
cope with these data such that a fully automated or interactive analysis of the
data becomes possible. Within the session, the focus will lie on advanced data
analysis and data visualization techniques with a particular focus on very high
dimensional or non-vectorial data, connected to the following non-exhaustive
list of topics:
*Topics*
? machine learning for graph data,
? dimensionality reduction for very high dimensional data,
? efficient embedding techniques for structured data,
? probabilistic modeling of non-vectorial data,
? natural priors for high dimensional or structured data,
? random projection and sparse representation,
? regularized metric learning,
? biomedical applications,
? network analysis.
*Organizers*
- Barbara Hammer: CITEC centre of excellence, Bielefeld University,
Germany, bhammer-AT-techfak.uni-bielefeld.de
- Alessio Micheli: Department of Computer Science, University of Pisa,
Italy, micheli-AT-di.unipi.it
- Frank-Michael Schleif: School of Computing Science, Univ. Birmingham,
U.K., schleify-AT-cs.bham.ac.uk
*Paper Submission Procedure*
Submissions must contain original work. Authors must submit their paper through the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/
Accepted papers will be included in the IEEE SSCI 2015 proceedings and indexed through IEEExplore.
Further information and Paper submission can be found at the IEEE SSCI 2015 webpage http://ieee-ssci.org.za/
Other CFPs
- IEEE International Conference on Computing, Communication and Security (ICCCS-2015)
- First International Conference on Collaboration and Internet Computing
- First International Workshop on 'Future Big Data' (FBD 2015)
- International Workshop on Future Applications on Clouds
- RW- 5th International Conference on Power Control and Embedded System (ICPCES)
Last modified: 2015-06-19 22:50:08