Advances in High Dimensional Big Data 2015 CFP (DEADLINE EXTENDED TO AUGUST 30, 2015)

Advances in High Dimensional Big Data
Workshop in conjunction with the IEEE BigData Conference 2015

Dear all,

The deadline for submission has been extended to August 30, 2015.

Santa Clara, CA, USA
October 29 - November 1, 2015

Call for Papers

High dimensionality is inherent in applications involving text, audio, 
images and video as well as in many biomedical applications involving 
high-throughput data. Many applications involving relational or network 
data also produce massive high-dimensional data sets. To deal with such 
problems, a wide range of approaches are available. These include "large 
p, small n" settings, dimensionality reduction, clustering, manifold 
learning, random projections, etc. Such approaches are crucial in 
dealing with issues concerning statistical reliability, revealing and 
visualizing structure hidden by the high dimensionality and noise, as 
well as saving the computation and storage burden.

The purpose of this workshop is two-fold: first to highlight novel 
research addressing high dimensionality and at the same bringing in 
contact prominent researchers and practitioners in the particular aspect 
of big data analysis. The dual keynote talks from both the academia and 
the industry emphasize the importance of building bridges between 
state-of-the-art research and practical applications.

The workshop's interests range from applications involving high 
dimensional data to the theoretical aspects of the problem. In addition, 
there is a particular interest in techniques that take advantage of 
parallel platforms to effectively handle truly large-scale real-world 
problems, and techniques that improve memory efficiency, a premium in 
streaming and distributed environments.

The topics of this workshop include, but are not limited to:

-    "Large p, small n" settings
-    Supervised/unsupervised/semi-supervised dimensionality reduction
-    Large-scale network analysis
-    Data clustering
-    Random Projections for big data
-    High-dimensional data streams
-    Manifold learning for big data
-    Kernel-based approaches for big data
-    Non-negative matrix factorization for big data
-    Big data applications involving high dimensionality

Important Dates
Aug 20, 2015: Due date for full workshop papers submission
Sept 17, 2015: Notification of paper acceptance to authors
Oct 5, 2015: Camera-ready of accepted papers
October 29-November 1, 2015: Workshop

Workshop Organizers
-    Sotiris Tasoulis, Postdoctoral Researcher, Helsinki Institute for 
Information Technology HIIT, University of Helsinki, Finland
-    Teemu Roos, Assistant Professor, Department of Computer Science, 
University of Helsinki, Finland
-    Jukka Corander, Professor, Department of Mathematics and 
Statistics, University of Helsinki, Finland

Program Committee Members
-    Sivaraman Balakrishnan, Postdoctoral Researcher, UC Berkeley, USA
-    Jussi Kangasharju, Professor, University of Helsinki, Finland
-    Nicos Pavlidis, Lecturer, Lancaster University, UK
-    Karl Rohe, Assistant Professor, University of Wisconsin-Madison, USA
-    Narayana Prasad Santhanam, Assistant Professor, University of 
Hawaii at Manoa, USA
-    Wojciech Szpankowski, Professor, Purdue University, USA
-    Erik Aurell, Professor, KTH, Sweden
-    Timo Koski, Professor, KTH, Sweden
-    Zhirong Yang, Research fellow, HIIT, University of Helsinki, Finland
-    Liang Wang, Research Associate, University of Cambridge, UK
-    Vassilis Plagianakos, Associate Professor, University of Thessaly, 
-    Ioannis Konstantinou, Senior Researcher, National Technical 
University of Athens, Greece
-    Christoforos Anagnostopoulos, Lecturer, Imperial College, London, UK
-    Jon Crowcroft, Professor, University of Cambridge, UK

Invited keynote speakers
Academic Keynote Speaker:
-    Bin Yu, Chancellor's Professor, Department of Statistics, 
Department of Electrical Engineering & Computer Science, UC Berkeley, USA

Industry Keynote Speaker:
-    Dimitris Tasoulis, Senior Execution Researcher, Winton Capital 
Management, UK

We invite submissions of research papers covering topics relevant to the 
theme of the workshop. All submissions will be peer reviewed by three 
members of the PC, and accepted papers will be published in the workshop 
proceedings (IEEE Press). Detailed formatting and submission 
instructions are available at the workshop homepage .

On Behalf of the Organizers,
Sotiris Tasoulis

Received on Wednesday, 19 August 2015 12:56:17 UTC