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 titleauthorsabstracttypejournalpublished year
DetailsUnexpected small sample
properties of the linear
perceptrons
Sarunas RaudysAn analytical expression for the generalization
error of a zero empirical error classifier is derived
It shown that small training set behavior of the
linear perceptron essentially differs from ...
Conference PaperProc. of the First
International Conference
Neural Networks and their
Applications, 1994
 
DetailsUnifying Probabilistic
and Variational
Estimation
A.B. Hamza, H. Krim, G.
Unal
A maximum a posteriori (MAP) estimator using a Markov
or a maximum entropy random field model for a prior
distribution may be viewed as a minimizer of a variational
problem Using notions from ...
Journal PaperIEEE Signal Processing
Magazine, September 2002
2002
DetailsUnsupervised Learning of
Human Motion
Yang Song,Luis
Goncalves,Pietro Perona
 JournalIEEE TRANSACTIONS ON
PATTERN ANALYSIS AND
MACHINE INTELLIGENCE,
VOL. 25, NO. 7, JULY 2003
 
DetailsUpper Facial Action Unit
Recognition
Cemre Zor, Terry WindeattThis paper concentrates on the comparisons of systems
that are used for the recognition of expressions
generated by six upper face action units (AUs) by
using Facial Action Coding System (FACS) ...
Conference PaperICB09 - International
Conference on Biometrics
2009
2009
DetailsUse of a'scape and fusion
algorithms for the
detection of concealed
weapons
mohamed adel slamani,
pramod k. Varshney, mark
g. Alfrod, david ferris
 Conference PaperProceedings of the 8th
International Conference
on Signal Processing
Applications and
Technology (ICSPAT'97),
San Diego Convention
Center, San Diego, CA,
September 14-17, 1997
 
DetailsUse of the Zero-Norm with
Linear Models and Kernel
Methods
Jason Weston, André
Elisseeff, Bernhard
Schölkopf, Mike Tipping
We explore the use of the so called zero norm of
the parameters of linear models in learning Minimization
of such a quantity has many uses in a machine learning
context for variable or feature ...
Journal PaperJournal of Machine
Learning Research
 
Detailsusing dynamic programming
for solving variational
problems in vision
amir a. Amini, terry e.
Weymouth, ramesh c. Jain
Variational approaches have been proposed for solving
many inverse problems in early vision such as in
the computation of optical flow shape from shading
and energy minimizing active contour ...
JournalIEEE TRANSACTIONS ON
PATTERN ANALYSIS AND
MACHINE INTELLIGENCE
 
DetailsUsing geometric
properties for
correspondence-less image
alignment
Venu Govindu, Chandra
Shekhar, Rama Chelappa
We describe a framework for image alignment that
does not use explicit feature correspondences We
show how certain geometric properties of image contours
are related to the parameters of the ...
Conference PaperFourteenth International
Conference on Pattern
Recognition, 1998
 
DetailsUsing Image Morphing for
Memory-Efficient Impostor
Rendering on GPU
Kamer Ali Yuksel, Aytul
Ercil, Alp Yucebilgin,
Selim Balcisoy
Real time rendering of large animated crowds consisting
thousands of virtual humans is important for several
applications including simulations games and interactive
walkthroughs but cannot be ...
Conference PaperCW2011 - International
Conference on Cyberworlds
(Cyberworlds) 2011
2011
DetailsUsing local temporal
features of bounding
boxes for walking/running
classification
Berkay Topcu, Hakan
Erdogan
For intelligent surveillance one of the major tasks
to achieve is to recognize activities present in
the scene of interest Human subjects are the most
important elements in a surveillance system
Conference PaperICASSP - IEEE
International Conference
on Acoustics, Speech, and
Signal Processing
2008
DetailsUsing perceptual relation
of Regularity and
Anisotropy in the Texture
with Independent
Components for Defect
Detection
O. G. Sezer, A. Erçil
and A. Ertüzün
This paper addresses the raw textile defect detection
problem using independent components approach with
insights from human vision system Human vision
system is known to have specialized ...
Journal PaperPattern Recognition2007
DetailsUsing Photometric
Invariants for 3D Object
recognition
Kenji Nagao, W. Eric L.
Grimson
In this paper we describe a new efficient algorithm
for recognizing 3D objects by combining photometric
and geometric invariants We derive some photometric
properties that are invariant to the ...
JournalComputer vision and image
understanding
 
Detailsusing polygons to
recognize and locate
partially occluded
objects
mark w. Koch, rangasami
l. Kashyap
 JournalIEEE transactions on
pattern analysis and
machine intelligence
 
DetailsUsing Semantic Analysis
to Improve Speech
Recognition Performance
Erdogan, H., Sarikaya,
R., Chen, S. F., Gao, Y.,
Picheny, M.
Although syntactic structure has been used in recent
work in language modeling there has not been much
effort in using semantic analysis for language models
In this study we propose three new ...
Journal PaperComputer Speech and
Language
2005
DetailsUsing symbolic
computation to find
algebraic invariants
Daniel KerenImplicit polynomials have proved themselves as having
excellent representation power for complicated objects
and there is growing use of them in computer vision
graphics and CAD A must for ...
JournalIEEE transactions on
pattern analysis and
machine intelligence
 
DetailsUtilizing Moment
Invariants and Gröbner
Bases to Reason About
Shapes
Haim Schweitzer, Janell
Straach
 Internet Resource  
DetailsVariation Image
Inpainting
Tony F. Chan, Jianhong
Shen
 Paper  
DetailsVariational Approaches on
Discontinuity
Localization and Field
Estimation in Sea Surface
Temperature and Soil
Moisture Interpolations
Walter Sun, Müjdat
Çetin, W. Carlisle
Thacker, T. Mike Chin,
and Alan S. Willsky
Some applications in remote sensing require esti
mating a field containing a discontinuity whose
exact location is a priori unknown Such fields
of interest include sea surface temperature in ...
Journal PaperIEEE Trans. Geoscience
and Remote Sensing
2006
DetailsVariational Guidewire
Tracking Using Phase
Congruency
Greg Slabaugh, Koon Kong,
Gozde Unal, Tong Fang
We present a novel method to track a guidewire in
cardiac x ray video Using variational calculus
we derive differential equations that deform a
spline subject to intrinsic and extrinsic forces
Conference PaperInternational Conference
on Medical Image
Computing and Computer
Assisted Intervention
(MICCAI), 2007
2007
DetailsVariational relevance
vector machines
Christopher M. Bishop,
Michael E. Tipping
The Support Vector Machine (SVM) of Vapnik has become
widely established as one of the leading approaches
to pattern recognition and machine learning It
expresses predictions in terms of a linear ...
Conference PaperProceedings of the 16th
Conference on Uncertainty
in Artificial
Intelligence
 
DetailsVariational Skinning of
an Ordered Set of
Discrete 2D Balls
G. Slabaugh, G. Unal, T.
Fang, J. Rossignac, B.
Whited
 Conference PaperGeometric Modeling and
Processing (GMP)
2008
DetailsVectorization of digital
images using algebraic
curves
Shouqing zhang, Ling Li,
Hocksoon Seah
An approach to vectorize digital curves is described
that aims at representing a complicated scanned
in digital pictures in an analytical form using
implicit algebraic curves for 2D computer ...
JournalComputers & Graphics 
DetailsVehicle Detection under
Day and Night
Illumination
R. Cucchiara, M. Piccardi Conference PaperProc. of ISCS-IIA99 
DetailsVEHICLE RECOGNITION FROM
PARKING IMAGES USING
STEREO METHOD
Mr. K Ohashi, Mr. M
Kimachi, Mr. K Kanayama
 Paper  
DetailsVehicle Reidentification
and Travel Time
Measurement in Real-Time
on Freeways Using the
Existing Loop Detector
Infrastructure
Benjamin Coifman PaperTransportation Research
Board 77th Annual
Meeting, January 11-15,
1998, Washington, DC
 
DetailsVessel tractography using
an intensity based tensor
model
Suheyla Cetin, Gozde
Unal, Ali Demir, Anthony
Joseph Yezzi, Muzaff er
Degertekin
In this paper we propose a novel tubular structure
segmentation method which is based on an intensity
based tensor that fits to a vessel Our model is
initialized with a single seed point and it
Conference PaperMICCAI2001, CVII20112011
DetailsVessel tractography using
an intensity based tensor
model with branch
detection
Cetin S, Demir A, Yezzi
A, Degertekin M, Unal G.
In this paper we present a tubular structure segmentation
method that utilizes a second order tensor constructed
from directional intensity measurements which is
inspired from diffusion tensor ...
Journal PaperIEEE Trans Med Imaging.
2013 Feb;32(2):348-63.
doi:
10.1109/TMI.2012.2227118.
Epub 2012 Nov 15.
2013
DetailsVideo analysis of human
dynamics&#8212;a
survey
Jessica JunLin Wang,
SameerSingh
Video analysis of human dynamics is an important
area of research devoted to detecting people and
understanding their dynamic physical behavior in
a complex environment that can be used for ...
Journal PaperReal-Time Imaging 
DetailsVideo Based Detection of
Driver Fatigue
Esra VuralThis thesis addresses the problem of drowsy driver
detection using computer vision techniques applied
to the human face Specifically we explore the
possibility of discriminating drowsy from ...
ThesisSabanci University
Research Database
2009
DetailsVideo Dizilerinden
Çoğul-Biyometrik Kimlik
Doğrulama (in Turkish)
H.K. Ekenel, S.Y. Bilgin,
İ. Eden, M. Kirişçi,
H. Erdoğan, A. Erçil
 Conference PaperProceedings of SIU 20042004
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