Dear All,
You are all
cordially invited to attend this week’s two seminars
by our CCSE graduate students. The seminars
take place November 5 at 2:30 pm in Building
22: Room 119. This week’s seminars are:
Seminar 1
Title:
Techniques
for Improving Bag-of-Features Model in Image Classification
Abstract:
The
past decade has seen the growing popularity of bag-of-features (BoF) approaches
to many computer vision tasks, including image classification, video search,
robot localization, and texture recognition. In fact, it has emerged as the
dominant framework in image classification tasks and it has achieved inspiring
performance. However, the major disadvantage of the bag-of-features model is
the lack of spatial layout information in the histogram representation of
images, which affects the accuracy of recognition. In this seminar, we explore
some of the established techniques alleviating this problem.
Speaker:
Mr.
Salim Mustafa Taqiuddin
Bio:
Mr.
Salim Mustafa Taqiuddin is currently a student in the master's program in
computer science, ICS department, KFUPM. He received his bachelor degree in
information technology engineering from University of Kalamoon, Syria. He has a
2-year experience as a software engineer. His research interests are in the
fields of algorithms, computational models, and natural language processing.
Seminar 2
Title:
Virtual
Machine Placement Algorithms to Minimize Physical Machine Count
Abstract:
Network
services are often provided through virtualization. To efficiently save capital
and operational expenditures, virtual machines (VMs) must be optimally placed
on physical machines (PMs) to minimize the number of required PMs. In this
seminar, I am going to present fast heuristic VM placement algorithms for a
dynamic demand model proposed in the literature. These algorithms are evaluated
via computer simulation. Results show that solutions close to the strict
optimum are obtainable. Further, results show that there is a tradeoff between
the number of PMs and the number of migrations.
Speaker:
Mr.
Nabil Mohammed
Bio:
Mr.
Nabil Mohammed is a Master student at King Fahd University of Petroleum and
Minerals, Kingdom of Saudi Arabia. He received his B.S in Computer Science from
king Khalid University, Abha, Saudi Arabia in 2008. His research interest
includes secure software development, operating Systems.
Regards,
Dr. Mohamed
El-Attar
Associate
Professor :: Software Engineering
Information
and Computer Science Department
King Fahd
University of Petroleum and Minerals
Kingdom of
Saudi Arabia
