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 titleauthorsabstracttypejournalpublished year
DetailsCombining Kalman
Filtering and Mean Shift
for Real Time Eye
Tracking Under Active IR
Illumination
Zhiwei Zhu, Qiang Ji,
Kikuo Fujimura, Kuangchih
Lee
Most eye trackers based on active IR illumination
require distinctive bright pupil effect to work
well In this paper we present a new real time
eye tracking methodology that works under variable
Conference Paper16th International
Conference on Pattern
Recognition, 2002
 
DetailsActive facial tracking
for fatigue detection
Haisong Gu, Qiang Ji,
Zhiwei Zhu
The vision based driver fatigue detection is one
of the most prospective commercial applications
of facial expression recognition technology The
facial feature tracking is the primary technique
...
Conference PaperIEEE Workshop on
Applications of Computer
Vision, 2002
 
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
 
DetailsThe Relevance Vector
Machine
M. E. TippingThe support vector machine (SVM) is a state of the
art technique for regression and classification
combining excellent generalisation properties with
a sparse kernel representation However it ...
Conference PaperAdvances in Neural
Information Processing
Systems 12
 
DetailsThe Bayesian Backfitting
Relevance Vector Machine
Aaron D'Souza, Sethu
Vijayakumar, Stefan
Schaal
Traditional non parametric statistical learning
techniques are oftencomputationally attractive
but lack the same generalization and modelselection
abilities as state of the art Bayesian ...
Conference PaperProceedings of the 21 st
International Conference
on Machine Learning
 
DetailsBayesian extension to the
language model for ad hoc
information retrieval
Hugo Zaragoza, Djoerd
Hiemstra, Mike Tipping
We propose a Bayesian extension to the ad hoc Language
Model Many smoothed estimators used for the multinomial
query model in ad hoc Language Models (including
Laplace and Bayes smoothing) are ...
Conference PaperProceedings of the 26th
International ACM SIGIR
Conference
 
DetailsA variational approach to
robust Bayesian
interpolation
M.E. Tipping, N.D.
Lawrence
We detail a Bayesian interpolation procedure for
linear in the parameter models which combines both
effective complexity control and robustness to outliers
Robustness is obtained by adopting a ...
Conference PaperProceedings of the IEEE
International Workshop on
Neural Networks for
Signal Processing
 
DetailsFast marginal likelihood
maximisation for sparse
Bayesian models
Michael E. Tipping, Anita
Faul
The `sparse Bayesian' modelling approach as exemplified
by the `relevance vector machine' enables sparse
classification and regression functions to be obtained
by linearly weighting a small ...
Conference PaperProceedings of the Ninth
International Workshop on
Artificial Intelligence
and Statistics
 
DetailsBayesian image
super-resolution
M.E. Tipping, C.M. BishopThe extraction of a single high quality image from
a set of low resolution images is an important problem
which arises in fields such as remote sensing surveillance
medical imaging and the ...
Conference PaperAdvances in Neural
Information Processing
Systems 15
 
DetailsAnalysis of sparse
Bayesian learning
Anita Faul, Michael E.
Tipping
The recent introduction of the `relevance vector
machine' has effectively demonstrated how sparsity
may be obtained in generalised linear models within
a Bayesian framework Using a particular ...
Conference PaperAdvances in Neural
Information Processing
Systems 14
 
DetailsA variational approach to
robust regression
Anita Faul, Michael E.
Tipping
We consider the problem of regression estimation
within a Bayesian framework for models linear in
the parameters and where the target variables are
contaminated by `outliers' We introduce an ...
Conference PaperProceedings of ICANN'01 
DetailsA kernel approach for
vector quantization with
guaranteed distortion
bounds
Tipping, M. E. and B.
Schölkopf
We propose a kernel method for vector quantization
and clustering Our approach allows a priori specification
of the maximally allowed distortion and it automatically
finds a sufficient ...
Conference PaperArtificial Intelligence
and Statistics 2001
 
DetailsSparse kernel principal
component analysis
Michael E. Tipping`Kernel' principal component analysis (PCA) is an
elegant nonlinear generalisation of the popular
linear data analysis method where a kernel function
implicitly defines a nonlinear transformation ...
Conference PaperAdvances in Neural
Information Processing
Systems 13
 
DetailsDeriving cluster analytic
distance functions from
Gaussian mixture models
Michael E. TippingThe reliable detection of clusters in datasets of
non trivial dimensionality is notoriously difficult
Clustering algorithms are generally driven by some
distance function (usually Euclidean) ...
Conference PaperProceedings of the Ninth
International Conference
on Artificial Neural
Networks (ICANN99)
 
DetailsProbabilistic
visualisation of
high-dimensional binary
data
Michael E. TippingWe present a probabilistic latent variable framework
for data visualisation a key feature of which is
its applicability to binary and categorical data
types for which few established methods ...
Conference PaperAdvances in Neural
Information Processing
Systems 11
 
DetailsHierarchical models for
data visualization
Michael E. Tipping,
Christopher M. Bishop
Visualization has proven to be a powerful and widely
applicable tool for the analysis and interpretation
of data Most visualization algorithms aim to find
a projection from the data space down to
Conference PaperProceedings of the IEE
Fifth International
Conference on Artificial
Neural Networks
 
DetailsNeuroscale: Novel
topographic feature
extraction with radial
basis function networks
David Lowe, Michael E.
Tipping
Dimension reducing feature extraction neural network
techniques which also preserve neighbourhood relationships
in data have traditionally been the exclusive domain
of Kohonen self organising maps
Conference PaperAdvances in Neural
Information Processing
Systems 9
 
DetailsA novel neural network
technique for exploratory
data analysis
David Lowe, Michael E.
Tipping
This paper surveys the context of feature extraction
by neural network approaches and compares and contrasts
their behaviour as prospective data visualisation
tools in a real world problem We ...
Conference PaperProceedings of ICANN '95 
DetailsProbabilistic kernel
regression models
T. S. Jaakkola, D.
Haussler
We introduce a class of flexible conditional probability
models and techniques for classification regression
problems Many existing methods such as generalized
linear models and support vector ...
Conference PaperProceedings of the 1999
Conference on AI and
Statistics
 
DetailsEye-Tracking for
Detection of Driver
Fatigue
Eriksson M.,
Papanikotopoulos, M.
In this paper we describe a system that locates
and tracks the eyes of a driver The purpose of
such a system is to perform detection of driver
fatigue By mounting a small camera inside the car
Conference PaperIEEE Conference on
Intelligent
Transportation Systems
1997
DetailsCapturing Subtle Facial
Motions in 3D Face
Tracking
Zhen Wen, Thomas S. HuangFacial motions produce not only facial feature points
motions but also subtle appearance changes such
as wrinkles and shading changes These subtle changes
are important yet difficult issues for ...
Conference PaperNinth IEEE International
Conference on Computer
Vision
(ICCV’03)
2003
DetailsFacial Expression
Decomposition
Hongcheng Wang, Narendra
Ahuja
In this paper we propose a novel approach for facial
expression decomposition Higher Order Singular
Value Decomposition (HOSVD) a natural generalization
of matrix SVD We learn the ...
Conference PaperICCV 20032003
DetailsManifold of Facial
Expression
Ya Chang, Changbo Hu,
Matthew Turk
In this paper we propose the concept of Manifold
of Facial Expression based on the observation that
images of a subject’ s facial expressions
define a smooth manifold in the high ...
Conference PaperICCV 20032003
DetailsMulti-modal Person
Recognition for Vehicular
Applications
H. Erdoğan, A. Erçil,
H. K. Ekenel, S. Y.
Bilgin, İ. Eden, M.
Kirisçi and H. Abut
In this paper we present biometric person recognition
experiments in a real world car environment using
speech face and driving signals We have performed
experiments on a subset of the in car ...
Conference PaperLecture Notes in Computer
Science
2005
DetailsSanal Referans
Yörüngeler
Kullanılarak Bir Grup
Mobil Robotun
Koordinasyonu (in
Turkish)
N. Güleç, M. ÜnelBu bildiride düzlemsel şekilleri hizalamak için
iki noktada teğetlerden (bitangent) faydalanan
görsel geri beslemeli kon trol stratejileri sunulmuştur
Bitangentları elde etmek için ...
Conference PaperTOK’05 Otomotik Kontrol
Ulusal Toplantısı
2005
DetailsGörsel Geri Besleme Ve
Kayma Kipli Gözlemciler
Kullanarak Hareket
Kestirimi (in Turkish)
B. Yılmaz, M. Ünel, A.
Sabanovic
 Conference PaperTOK’05 Otomotik Kontrol
Ulusal Toplantısı
2005
DetailsSerbest Şekilli
Nesnelerin Scara Robotun
Görme Tabanlı Denetimi
İle Manipülasyonu (in
Turkish)
A. Varol, U. Tümerdem,
M. Ünel
 Conference PaperTOK’05 Otomotik Kontrol
Ulusal Toplantısı
2005
DetailsShape-driven Segmentation
of Intravascular
Ultrasound Images
Gozde Unal, Susann
Bucher, Stephane Carlier,
Greg Slabaugh, Tong Fang,
Kaoru Tanaka
Segmentation of arterial wall boundaries from intravascu
lar images is an important problem for many applications
in study of plaque characteristics mechanical properties
of the arterial wall
Conference PaperThe First International
Workshop on Computer
Vision for Intravascular
Imaging (CVII), held in
conjunction with MICCAI
2006
2006
DetailsEfficient Classification
of Scanned Media using
Spatial Statistics
Gozde Unal, Gaurav
Sharma, Reiner Eschbach
We address the automatic classification of scanned
input media in order to improve color calibration
Since scanner responses vary significantly according
to the type of input a media dependent ...
Conference PaperInternational Conference
on Image Processing,
2004. ICIP '04. 2004
2004
DetailsPrecise Volumetric
Estimation of
Lymphotropic
Nano-Particle Enhanced
Lymph Nodes using
Semi-Automated
Segmentation
R. Seethamraju, A.
Katkar, G. Unal, L.
Grady, T. Moeller, M.
Braschi, C. Schultz, M.
Requardt, R. Weissleder,
M. Harisinghani
 Conference PaperFifth Annual Meeting of
the Society for Molecular
Imaging, 2006
2006
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