|
"Workshop
on
Computational
Intelligence Techniques in
Multimedia
Computing "
This
workshop is organized as a part of The Fifth
International Conference
on A new trend in
informatics: The way ahead
24-26 March 2007
Cairo, Egypt
http://www.fci-cu.edu.eg/INFOS2007/
INFOS2007
Organized by
Egyptian
Rough Sets Working Group (ERS) Click here!
Dr. Aboul Ella Hassanien
http://www.cba.edu.kw/abo
Workshop Program [pdf
file]
The past years have witnessed a large
number of interesting applications of various Computational
Intelligence (CI) techniques, such as fuzzy logic, rough
sets, neural networks, and evolutionary computation, to
intelligent multimedia processing. Multimedia computing
problems such as content analysis, indexing and retrieval,
recognition and compression, or processing and filtering.
This session will focus mainly on the problems and
applications that deal with the multimedia processing using
Computational Intelligence techniques as an emerging research
area.
Recommended topics include but are not
limited to the following:
-
CI for Spoken interface for
data retrieval
-
CI
for Music Similarity, Clustering and Understanding
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CI for Spoken interface for data retrieval
-
CI for Music Similarity, Clustering and
Understanding
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CI for Audio/Video indexing for the Web
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CI for knowledge extraction from image
data;
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CI for knowledge extraction from sound
data;
-
CI for knowledge
extraction from video data;
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CI for internet multimedia information
access
-
CI for Intelligent agents for multimedia
-
CI for Multi-modal event detection and
recognition
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CI for Retrieval from multi-modal life logs
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CI for High performance multimedia
databases
-
CI for Fusion of Multimedia
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CI for Content based
retrieval of novel media
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CI for Supported
information visualization, browsing & navigation
-
CI for Classification
and indexing of multimedia information objects
-
CI for Multimedia data
mining methods and algorithms;
-
CI for Complexity, and
scalability of multimedia mining algorithms;
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CI for Classification of multimedia documents;
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CI for Preprocessing and representation of multimedia data;
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Hybrid Systems, Fuzzy Evolutionary Systems - Fuzzy Expert
Systems - Fuzzy Neural Systems - Neural Genetic Systems
-Neural-Fuzzy-Genetic Systems -Hybrid Systems for
Optimization
Since the introduction of rough sets in 1982 by Professor
Zdzisław Pawlak, we have witnessed great advances in both
theory and applications. There has been a rapid growth in
research and applications of rough sets in the world,
particularly in Egypt. Rough set theory is closely related to
knowledge technology in a variety of forms such as knowledge
discovery, approximate reasoning, intelligent and multiagent
systems design, knowledge intensive computations that signal
the emergence of a knowledge technology age. The essence of
growth in cutting-edge, state-of-the-art and promising
knowledge technologies is closely related to learning, pattern
recognition, machine intelligence and automation of
acquisition, transformation, communication, exploration and
exploitation of knowledge. A principal thrust of such
technologies is the utilization of methodologies that
facilitate knowledge processing. To present state-of-the-art
scientific results, encourage academic and industrial
interaction, and promote collaborative research and
developmental activities, in rough sets and knowledge
technology worldwide, a special working group interest for the
Egyptian researcher named Egyptian working group has been
established (http://www.cba.edu.kw/abo/rough-sets-working-group.htm).
It will provide a new forum for the Egyptian researchers in
rough computing and application.
|
Manuscript Due |
February
10,
2007 |
|
Acceptance Notification |
February
25, 2007 |
|
Camera ready papers and authors'
registration |
March
1st., 2007 |
If you are
interested in submitting a paper to this workshop,
please contact the organizer directly at
abo@cba.edu.kw (http://www.cba.edu.kw/abo)
for more information or to submit a paper.
|
|
|
Papers
for the special session should describe original and
unpublished work on MCS. Full papers may be up to seven
pages in
IEEE
format and should be
sent by email to the session organizers. Accepted papers
will appear in the INFOS'2007 conference proceedings. All papers will
be peer reviewed by two independent reviewers.
Related links:
-
Workshop on Soft Computing in
Intelligent Multimedia
Seoul Olympic Parktel, Seoul, Korea
-
Soft Computing in Medical Image Processing -
Special session as a part JRS07
-
Computational Intelligence in Medical Imagining: Techniques &
Applications, to be published by CRC Press, 2008
-
The 7th
International Conference on Intelligent Systems Design and
Applications (ISDA'2007), October 22-24, Brazil
-
Soft Computing in Multimedia Processing, Special issue ,
Informatics Journal, 2005, [
Download]
Cairo,
Egypt
Cairo,
Egypt, the Triumphant City,
known officially as al-Qāhirah is one of the world's largest
urban areas and offers many sites to see. It is the
administrative capital of Egypt and, close by, is almost every
Egypt Pyramid, such as the Great Pyramids of
Giza on the very edge of the city. But there are also
ancient temples, tombs, Christian churches, magnificent
Muslim monuments, and of course, the
Egyptian Antiquities Museum all either within or nearby
the city.
Cairo, Egypt is an amazing
city full of life and movement, and it is that way almost 24
hours every day, with the noisy honking of horns, children
playing in the streets and merchants selling their wears and
services. And here, the Egyptians are most at home in this
powerful, modern and ancient city
Cairo, Egypt provides great culture, including art galleries
and music halls, such as the
Cairo Opera
House, as well it should, being one of the largest cities
in the world. It also provides some of the grandest
accommodations and restaurants in the world, such as the
Four Seasons and the
Cairo Marriott.
Cairo offers an incredible selection of shopping, leisure and
nightlife activities.
Shopping
ranges from the famous
Khan el-Khalili
souk, (or bazaar) largely unchanged since the 14th century, to
modern air-conditioned centers displaying the latest fashions.
All the bounty of the East can be here. Particularly good buys
are spices, perfumes, gold, silver, carpets, brass and
copperware, leatherwork, glass, ceramics and mashrabiya. Try
some of the famous street markets, like Wekala al-Balaq, for
fabrics, including Egyptian cotton, the Tentmakers Bazaar for
appliqué-work, Mohammed Ali Street for musical instruments
and, although you probably won't want to buy, the Camel Market
makes a fascinating trip. This is, and has been for over a
thousand years, truly a shopper's paradise.
Keynote Speaker
Rough Sets in
Data Mining and Information Retrieval
Professor Dominik Slezak,
Infobright Inc., Canada
Abstract:
Theory of rough
sets, proposed by Zdzislaw Pawlak in 1982, is a model of
approximate reasoning. In applications, rough set methodology
focuses on approximate representation of knowledge derivable
from data. It leads to significant results in many areas
including, for example, finance, industry, multimedia,
medicine, and most recently bioinformatics.
One of the key notions of rough sets is a reduct, an optimal
subset of attributes providing enough information about
pre-defined target concepts or whole data sources. Proposed
originally within the framework of rough set approximations,
it was extended regarding different application needs, using
concepts of, for example, Boolean reasoning, Bayesian
reasoning, and information theory. There have been developed
efficient tools extracting educts from data, based, for
instance, on greedy heuristics and evolutionary algorithms.
In this talk, we present foundations of rough sets, as well as
current trends in rough-set-based attribute reduction,
understood as the means for representation of multi-attribute
approximate dependencies in real-world data. We pay a special
attention to case studies of rough set applications to
bio-medical problems, including MRI segmentation, gene
expression data analysis, as well as the cancer therapy
survival analysis.
DBLP: Dominik Slezak
About the Keynote Speaker

Dominik Slezak received his PhD in Computer Science in 2002
from Warsaw University, Poland. In an instructional capacity
he has supervised more than 15 graduate students in Canada,
Poland, and the United Kingdom. He has pursued academic
collaborations with Warsaw University, University of Regina,
and the Polish-Japanese Institute of Information Technology.
Additionally, he serves as an executive member of the
International Rough Set Society, editor-in-chief of Online
International Journal on Rough Set Methods, guest editor and
reviewer for a number of international scientific journals,
chair of several international scientific conferences, and is
a member of several IEEE technical committees. He has
published over 60 research articles for books, journals, and
conference proceedings.
Workshop Program
25 March 2007
|
time
|
Paper |
|
9.30-10.30
Invited talk |
Rough Sets in Data Mining and Information Retrieval
Dominik Slezak, Canada |
|
Session-A: Rough Sets
and Their Applications
Session chair:
Professor
Dominik Slezak
Session co-chair: Professor A.M. Kozae
|
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10.30- 10.50
|
On Bi approximation space
M. E.Abd El-Monsef, A. A Abo Khadra & A. A. Zedan |
|
10.50--10.10 |
Decision making via degree of dependency
A.M. Kozae , A.A. Abo Khadra , T.
Medhat |
|
10.10-11.30 |
Using Rough Sets and Genetic Algorithm to Build
Decision Tree
Mostafa Fahmy, Osama Badawy, Yasser
Foaud, Wedad Sagar |
|
11.30-11.50 |
Topological Approach for Approximation Space (TAS)
A.M. Kozae, A.A. Abo Khadra , T.
Medhat |
|
11.50-12.10 |
Topological Solution of Missing Attribute Values
Problem in Incomplete Information Tables
A. S. Salama |
|
Coffee Break |
Session-B:
Computational Intelligence
& Applications
Session chair: Professor Jason S.H.
Tsai
Session co-chair: Dr.
Mohamed Mostafa Abd Allah
|
time |
Paper |
|
12.30 -12.50 |
A Proposed Architecture for Distributed
Multi-Agent Intelligent System (DMAIS)
Ali I. El-Desouky, Hesham A. Ali and Sally M. El-Ghamrawy |
|
12.50 -01:10 |
Chaos Evolutionary Programming Based JPEG
Quantization Table Generation Scheme
Shu-Mei Guo, Jason S.H. Tsai, Wen-Hsin Chang, Bing-Hui
Wu &
Shy-Jen Guo |
|
01:10 - 01:30 |
Enhanced Clustering Technique in RBF Neural Network
for Function Approximation
M.Awad, H. Pomares, I.Rojas, |
|
01:30 – 01:50 |
One -Dimensional Representation Method of
Fingerprint Image Reduce the Cost and Size of the
Sensing Device
Mohamed
Mostafa Abd Allah
|
|
01:50 - 02:10 |
Artificial Neural Networks Architecture For
Intrusion Detection Systems and Classification of
Attack
Mohammed Sammany, Marwa Sharawi, Mohammed El-Beltagy,
Imane Saroit |
|
02:10 - 02:30 |
Slope Space To Compress Electrocardiogram Signals
M. E. Rahman, and M. A. Haque |
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Lunch time |

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