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 titleauthorsabstracttypejournalpublished year
DetailsA Software Platform for
Genetic Algorithms based
Parameter Estimation on
Digital Sound
Synthesizers
Kamer Ali Yuksel, Batuhan
Bozkurt, Hamed Ketabdar
In this research we introduce a general purpose
sound synthesis architecture for parameter estimation
system which is employing genetic algorithms (GA)
to search the parameter space for ...
Conference PaperSAC 20112011
DetailsHidden Conditional Random
Fields for Classification
of Imaginary Motor Tasks
From EEG Data
Jaime Fernando Delgado
Saa, Müjdat Çetin
Brain computer interfaces (BCIs) are systems that
allow the control of external devices using information
extracted from brain signals Such systems find
application in rehabilitation of patients ...
Conference PaperEURASIP European Signal
Processing Conference,
Barcelona, Spain, August
2011
2011
DetailsSAR Moving Target Imaging
in a Sparsity-driven
Framework
Ozben Onhon, Müjdat
Çetin
In synthetic aperture radar (SAR) imaging sparsity
driven imaging techniques have been shown to provide
high resolution images with reduced sidelobes and
reduced speckle by allowing the ...
Conference PaperSPIE Optics + Photonics
Symposium, Wavelets and
Sparsity XIV Conference,
San Diego, California,
USA, August 2011
2011
DetailsSAR Goruntuleri icin
Bolge Tabanli bir Hedef
Tespit Yontemi (A
Region-based Target
Detection Method for SAR
Images)
Fatih Nar, Can
Demirkesen, O. Erman
Okman, Müjdat Çetin
English abstract Automatic target detection methods
for synthetic aperture radar (SAR) images are sensitive
to image resolution size of the target to be detected
clutter complexity and ...
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Antalya,
Turkey, April 2011 (in
Turkish)
2011
DetailsSeyreklik Tabanli
Uzam-zamansal EEG Kaynak
Kestirimi
(Sparsity-driven
Spatio-temporal EEG
Source Estimation)
Ozge Batu, Müjdat ÇetinWe consider the problem of sparse source estimation
using multiple time samples We propose the use
of a spatio temporal constraint which is a combination
of spatial `1 norm for sparsity and ...
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Antalya,
Turkey, April 2011 (in
Turkish)
2011
DetailsA Sparsity-driven
Approach for SAR Image
Formation and
Space-variant Focusing
Ozben Onhon, Müjdat
Çetin
In synthetic aperture radar (SAR) imaging the uncertainties
on the position of the sensing platform and on the
motion of objects in the observed scene are important
problem sources These types
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Antalya,
Turkey, April 2011 (in
Turkish)
2011
DetailsAR-PCA-HMM Approach for
Sensorimotor Task
Classification in
EEG-based Brain-Computer
Interfaces
Ali Ozgur Argunsah,
Müjdat Çetin
We propose an approach based on Hidden Markov models
(HMMs) combined with principal component analysis
(PCA) for classification of four class single trial
motor imagery EEG data for brain ...
Conference PaperInternational Conference
on Pattern Recognition,
Istanbul, Turkey, August
2010
2010
DetailsDesign, Implementation
and Evaluation of a
Real-time P300-based
Brain-Computer Interface
System
Armagan Amcalar, Müjdat
Çetin
Abstract— We present a new end to end brain
computer interface system based on electroencephalography
(EEG) Our system exploits the P300 signal in the
brain a positive deflection in ...
Conference PaperInternational Conference
on Pattern Recognition,
Istanbul, Turkey, August
2010
2010
DetailsDiscrimination of
Moderate and Acute
Drowsiness Based on
Spontaneous Facial
Expressions
Esra Vural, Marian
Bartlett, Gwen
Littlewort, Müjdat
Çetin, Aytül Erçil,
Javier Movellan
It is important for drowsiness detection systems
to identify different levels of drowsiness and respond
appropriately at each level This study explores
how to discriminate moderate from acute ...
Conference PaperInternational Conference
on Pattern Recognition,
Istanbul, Turkey, August
2010
2010
DetailsSeyreklik Gudumlu
Odaklanmis SAR Goruntu
Olusturma
(Sparsity-driven Focused
SAR Image Formation)
Ozben Onhon, Müjdat
Çetin
Most imaging systems are adversely affected by the
errors in the observation model One significant
example is encountered in synthetic aperture radar
(SAR) imaging Inexact measurement of the ...
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Diyarbakir,
Turkey, April 2010 (in
Turkish)
2010
DetailsA Brain-Computer
Interface Algorithm based
on Hidden Markov Models
and Dimensionality
Reduction
Ali Ozgur Argunsah,
Müjdat Çetin
We consider the problem of motor imagery EEG data
classification within the context of brain computer
interfaces We propose an approach based on Hidden
Markov models (HMMs) Our approach is ...
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Diyarbakir,
Turkey, April 2010 (in
Turkish)
2010
DetailsCevrimici Heceleme icin
bir Beyin-Bilgisayar
Arayuzu Sistemi (A
Brain-Computer Interface
System for Online
Spelling)
Armagan Amcalar, Müjdat
Çetin
We consider the problem of spelling through an electroencephalography
(EEG) based brain computer interface and present
a complete system with associated algorithms for
automatic online ...
Conference PaperIEEE Conference on Signal
Processing,
Communications, and their
Applications, Diyarbakir,
Turkey, April 2010 (in
Turkish)
2010
DetailsJoint Sparsity-Driven
Inversion and Model Error
Correction for Radar
Imaging
Ozben Onhon, Müjdat
Çetin
Solution of inverse problems in imaging requires
the use of a mathematical model of the observation
process However such models often involve errors
and uncertainties themselves The application
Conference PaperIEEE International
Conference on Acoustics,
Speech, and Signal
Processing, Dallas,
Texas, USA, March 2010
2010
DetailsAutomated X-Ray Image
Annotation: Single versus
Ensemble of Support
Vector Machines
Devrim Unay, Octavian
Soldea, Sureyya
Ozogur-Akyuz, Müjdat
Çetin, Aytül Erçil
Advances in the medical imaging technology has lead
to an exponential growth in the number of digital
images that needs to be acquired analyzed classified
stored and retrieved in medical ...
Conference PaperEuropean Conference on
Digital Libraries (ECDL),
Cross-Language Evaluation
Forum (CLEF) Workshop,
Corfu, Greece,
September-October 2009
2009
DetailsDetection of Eye Blinks
from EEG using Hidden
Markov Models
Ali Ozgur Argunsah, Baran
Curuklu, Müjdat Çetin
 Conference PaperSwedish Association of
Medical Engineering and
Physics, Medical
Technology Days,,
Vasteras, Sweden,
September 2009
2009
DetailsAnalysis of EEG Signals
for Brain Computer
Interface
Jessy Parokaran, Ali
Ozgur Argunsah, Baran
Curuklu, and Müjdat
Çetin
dvancements in biomedical signal processing techniques
have led Electroencephalography (EEG) signals to
be more widely used in the diagnosis of brain diseases
and in the field of Brain Computer ...
Conference PaperSwedish Association of
Medical Engineering and
Physics, Medical
Technology Days,,
Vasteras, Sweden,
September 2009
2009
DetailsAn Efficient Message
Passing Algorithm for
Multi-Target Tracking
Zhexu (Michael) Chen, Lei
Chen, Müjdat Çetin,
Alan S. Willsky
Abstract – We propose a new approach for multi
sensor multi target tracking by constructing statistical
models on graphs with continuous valued nodes for
target states and discrete valued nodes
Conference PaperInternational Conference
on Information Fusion,
Seattle, Washington, USA,
July 2009
2009
DetailsA Nonquadratic
Regularization-based
Technique for Joint SAR
Imaging and Model Error
Correction
Ozben Onhon, Müjdat
Çetin
Regularization based image reconstruction algorithms
have successfully been applied to the synthetic
aperture radar (SAR) imaging problem Such algorithms
assume that the mathematical model of the ...
Conference PaperSPIE Defense and Security
Symposium, Algorithms for
Synthetic Aperture Radar
Imagery XVI, E. G. Zelnio
and F. D. Garber, Eds.,
Orlando, Florida, April
2009
2009
DetailsCompressed sensing of
mono-static and
multi-static SAR
Ivana Stojanovic, W. Clem
Karl, Müjdat Çetin
In this paper we study the impact of sparse aperture
data collection of a SAR sensor on reconstruction
quality of a scene of interest Different mono and
multi static SAR measurement ...
Conference PaperSPIE Defense and Security
Symposium, Algorithms for
Synthetic Aperture Radar
Imagery XVI, E. G. Zelnio
and F. D. Garber, Eds.,
Orlando, Florida, April
2009
2009
DetailsA Texture Based Approach
to Puzzle Assembly
M. Ş. Sağıroğlu, A.
Erçil
Reconstruction of archaeological finds from fragments
is a tedious task requiring many hours of work
from the archaeologists and restoration personnel
In this paper we present a framework for
Conference PaperVAST 20052005
DetailsSubspace based object
recognition using SVM
O.G. Sezer, A. Erçil, M.
Keskinöz
 Conference PaperEUSIPCO 20052005
DetailsAlgorithms for Stochastic
Approximations of
Curvature Flows
Gozde Unal, Delphine
Nain, Gerard Ben-Arous,
Nahum Shimkin, Allen
Tannenbaum, Ofer Zeitouni
Curvature flows have been extensively considered
from a deterministic point of view They have been
shown to be useful for a number of applications
including crystal growth flame propagation and
...
Conference PaperICIP 20012001
DetailsComplex Representations
of Algebraic Curves
Mustafa Unel, William A.
Wolovich
 Conference PaperProceedings of ICIP-98
(IEEE International
Conference on Image
Processing)
1998
DetailsÖRTÜK ÇOKTERİMLİLER
VE CEBİRSEL
DEĞİŞMEZLER
KULLANILARAK ÜRETİM
ORTAMINDA İKİ BOYUTLU
CİSİM TANIMA (in
Turkish)
Uğur Murat ERDEM, Aytül
ERÇİL
 Conference PaperProceedings of IEEE SIU
1997
1997
DetailsAN OBJECT-ORIENTED STEREO
SYSTEM FOR 3D-MEASUREMENT
Frank BOOCHS, Anja
GEHRHOFF, Markus NEIFER
A stereo system designed and used for the measurement
of 3D coordinates within metric stereo image pairs
will be presented First the motivation for the
development allowing to evaluate stereo ...
Conference PaperIAPRS2000
DetailsMulti-modal
Classification in Digital
News Libraries
Ming-yu Chen, Alexander
Hauptmann
This paper describes a comprehensive approach to
construct robust multi modal video classification
on a specific digital source broadcast news Broadcast
news has a very stable structure and ...
Conference PaperInternational Conference
on Acoustics, Speech and
Signal Processing
(ICASSP'04)
2004
DetailsLearning Temporal Context
in Active Object
Recognition Using
Bayesian Analysis
Lucas Paletta, Manfred
Prantl, Axel Pinz
Active object recognition is a successful strategy
to reduce uncertainty of single view recognition
by planning sequences of views actively obtaining
these views and integrating multiple ...
Conference Paper15th International
Conference on Pattern
Recognition, ICPR2000
2000
DetailsReal-Time, Fully
Automatic Upper Facial
Feature Tracking
Ashish Kapoor, Rosalind
W. Picard
Robust real time fully automatic tracking of facial
features is required for many computer vision and
graphics applications In this paper we describe
a fully automatic system that tracks eyes
Conference Paper5th International
Conference on Automatic
Face and Gesture
Recognition
2002
DetailsRole of Color in Face
Recognition
Andrew Yip, Pawan SinhaOne of the key challenges in face perception lies
in determining the contribution of different cues
to face identification In this study we focus
on the role of color cues Although color ...
Conference PaperAI Memo 2001-035 CBCL
Memo 212
2001
DetailsShape Descriptors for
Non-rigid Shapes with a
Single Closed Contour
Longin Jan Latecki, Rolf
Lakamper, Ulrich Eckhardt
The Core Experiment CE Shape 1 for shape descriptors
performed for the MPEG 7 standard gave a unique
opportunity to compare various shape descriptors
for non rigid shapes with a single closed ...
Conference PaperIEEE Conf. on Computer
Vision and Pattern
Recognition (CVPR)
2000
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