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ICA Research Network
The ICA Research Network is
a new UK network designed to improve communication in the
interdisciplinary area of blind source separation and independent component
analysis (BSS/ICA).
The activities of the Network
will include: workshops and meetings, visits to conferences and other
laboratories (particularly for younger researchers),
and electronic communication such as email and this web site. Dissemination
of activities and information
relevant
to the Network will be an important aspect of its work, leading to increased
opportunities for exploitation and collaboration with UK industry and
international researchers.
Previous Events
The 2008 ICA Research Network Workshop will be held at the University
of Liverpool covering the latest developments and techniques in the area
of source separation and ICA. Submissions from international participants
are most welcome. A
special feature of this workshop will be a special poster session where
authors will have the opportunity to present their current work in
progress.
For more information, see:
In coordination with a distinguished Maxwell Institute Colloquium give
by Albert Cohen on Nov. 2nd at the U. of Edinburgh School of Mathematics,
the International Centre for Mathematical Sciences will host a one day
meeting in which researchers of sparse approximation from throughout
the UK will assemble.
Presentations will be given by:
Mike Davies (U. of Edinburgh, EE), Albert
Cohen (U. of Paris VI, Math), Sofia Olhede (U. College London, Statistics),
Mark D. Plumbley (Queen Mary, EE), Arieh Iserles (U. of Cambridge, DAMTP),
Laura Rebollo-Neira (Aston U., Information Eng.), and Jared Tanner (U.
of Edinburgh, Math).
Further information can be found at the conference website:
http://www.maths.ed.ac.uk/MIC/mic_07.html
Anyone who would like to attend this event should contact the organizer
(Jared.Tanner@ed.ac.uk) in order to ensure that space is available.
ICA 2007: 7th International
Conference on Independent Component Analysis and Signal Separation
9-12 September 2007
The 2007 Iinternational Conference on Independent Component Analysis
and Signal Separation was held at Queen Mary University of London, organized
by the ICA Research Network. [More
...]
ICA Research Network Workshop
18-19 September 2006
The 2006 ICA Research Network Workshop was held at the University of
Liverpool covering the latest developments and techniques in the area
of BSS/ICA. The 2-day workshop featured a keynote speech from Christian
Jutten, and over 30 oral and poster presentations. For more information,
see:
Workshop on Applied BSS/ICA
University of Southampton,
23 September 2005
This Workshop on Applied Blind
Source Separation and Independent Component Analysis was held at the
University of Southampton on 23 September 2005. The workshop focussed
on the applications
of blind source separation (BSS) techniques such as independent component
analysis (ICA) to a range
of application areas, including Biomedicine, Audio/speech/music, Commerce
and finance and Psychology. For more information see
Launch Day 13 April 2005
The launch of the Network was celebrated with a Launch
Day in London
on 13 April 2005. Around 65 researchers from across the UK were there,
to hear about current research in the
area, find
out
about
the Network,
and
meet
other UK
researchers
interested in BSS/ICA and its generalizations. As part of the event we
had keynote talks from two of the worlds most eminent researchers
in the field: Prof Jean-François Cardoso (ENST, France) and Prof
Erkki Oja (Helsinki University of Technology, Finland). There were also
be
posters on display describing with work of groups within the Network.
Slides and other documents from the Launch Day are now available. For
more information see:
Blind Source Separation and Independent Component Analysis
In many signal and data analysis situations, observed data are known
to be some mixture of underlying sources. The mixing process may be linear
or nonlinear, and while the structure of the mixing process may be known,
the mixture parameters (in the linear case, the mixing matrix) will be
unknown. This problem is therefore often known as Blind Source
Separation (BSS). For a simple audio example, we may have two
speakers in a room, with two microphones each receiving a different mixture
of the two speakers.
The task is then to recover the original (unmixed) speakers from the
two mixtures received at the microphones.
The BSS problem can be tackled using Independent Component Analysis
(ICA) and related techniques. ICA assumes the underlying sources are
statistically independent from each other; related techniques may assume
few sources are non-zero at any time (sparse coding) or the sources and/or
mixtures must be non-negative (non-negative factor analysis). Applications
of these techniques have been demonstrated in the analysis of EEG signals,
MRI spectra, computer vision, gene microarray data, fMRI images, text
document collections, satellite images and economic data, and it has
been applied to watermarking for information hiding, speech enhancement
in noisy or echoic environments, and image coding.
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The 2008 ICA Research Network International
Workshop was held at the University of Liverpool on 25-26
Sept 2008.
[More ...] |
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The International Centre
for Mathematical Sciences, University of Edinburgh, hosted
a one day meeting on sparse approximation on 3 November 2007.
[More ...] |
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The 7th International Conference on Independent
Component Analysis and Signal Separation, ICA 2007, was held
in London.
[More ...] |
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The 2006 ICA Research Network Workshop
was held at the University of Liverpool on 18-19 Sept 2006
[More ...] |
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The ICA Research Network mailing list
is for discussions, announcements, etc. for Network members
and others interested in BSS/ICA.
[More ...] |
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