Neural Computation
& Signal Processing Lab (NCSP)
Advanced Research Seminar
סמינר מתקדם
במדעי המחשב
0368-5083-01, 2008-9 Sem I/II
Prof. Nathan Intrator, Prof. Hezy Yeshurun
____________________________________________________________________
Next Seminar: Wednesday, Nov 19,
Schreiber 309, 2:00pm-3:30pm
Seminar
Overview
The
seminar this semester will be joined between the Labs of Prof. Nathan Intrator
and Prof. Hezy Yeshurun. It
will concentrate on computational methods which are used in the different
projects in the labs. Specifically, we shall concentrate on machine learning,
robust statistics and robust modeling in each of the presentations.. There may be a few guest presentations as well.
Instructors: Prof.
Nathan Intrator, Schreiber 221, x7598, Office hours: Wednesday 4-5 or via
email
Prof.
Hezy Yeshurun, Kaplun 327, x9368, Office hours: …. or via email
NCSP
Past seminars 2004-5 Sem I
2004-5 Sem II … Brain
Imaging 2007-8
Other
relevant seminars: PBC
Seminar Eshel
Ben Yaakov Eytan Ruppin Ron Shamir
Presentations
|
Date |
Title |
Speaker |
|
Nov
19 |
TBD
|
TBD |
General instructions for seminar presenters
The presentation should
have an introductory component that can enable all students understand the
background of the seminar. They should then have a methodological component
which explains at least a single method that can be used in a variety of
applications. Finally, there should be some application results which
demonstrate the usefulness of the proposed methods.
In contrast, a review
presentation should describe several computational methods which are aimed at addressing
a specific problem, together with a clear background of that problem.
Preferably some comparison between the methods should be provided.
Abstract of the
presentation should be sent to me up to three days before the presentation and a slides up to a day before the presentation.
Abstracts
Some
reading material
|
Sound
analysis Auditory display of hyperspectral colon tissue images Biomedical
signals and sensors Robust
measurement of Carotid Heart sound delay Heart
Mechanical and Electrical System Heart
info and abnormalities (video) Sensors Cheap off-the
shelf TinyOs operated robots |
Machine
learning and Statistics Information
theory T. Cover Max
Entropy Methods R. Skiling Pattern
recognition and neural networks B. Ripley Neural networks for
pattern recognition Bishop Digital
Signal Analysis: A Computer Science Perspective J.
Stein. Biomedical
Signal Analysis R. M. Rangayyan Breath Sounds Methodology N.
Gavriely Introduction to
Bayesian Networks K. Murphy Software TinyOS operating sys for wireless applications |
The slides and other
seminar events can be found in http://www.cs.tau.ac.il/~nin/Courses/AdvSem0506/AdvSem0506.htm