Duncan Fyfe Gillies

50 papers A* 1A 1B 3C 4Misc 1Journal 19Unranked 21
YearRankTypeTitle / Venue / Authors
2017 J jnl
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements.
CoRR
Carlos E. Thomaz, Vagner do Amaral, Gilson A. Giraldi, Duncan Fyfe Gillies, Daniel Rueckert
2016 J jnl
Overfitting in linear feature extraction for classification of high-dimensional image data.
Pattern Recognit.
Raymond Liu, Duncan Fyfe Gillies
2016 B conf
Priori-driven dimensions of face-space: experiments incorporating eye-tracking information.
ETRA
Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, Daniel Rueckert
2015 J jnl
A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data.
Adv. Bioinformatics
Zena M. Hira, Duncan Fyfe Gillies
2015 C conf
Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation.
EvoMUSART
Kate Reed, Duncan Fyfe Gillies
2014 — conf
Improving brain decoding through constrained and parametrized temporal smoothing.
ISBI
Loizos Markides, Duncan Fyfe Gillies
2014 — conf
Intensity normalisation for large-scale fMRI brain decoding.
PRNI
Loizos Markides, Duncan Fyfe Gillies
2014 — conf
Unsupervised metrics of brain region significance for event-related fMRI intersession experiments.
PRNI
Loizos Markides, Duncan Fyfe Gillies
2013 J jnl
An Estimate of Mutual Information that Permits Closed-Form Optimisation.
Entropy
Raymond Liu, Duncan Fyfe Gillies
2013 J jnl
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks
CoRR
Luis Enrique Sucar, Duncan Fyfe Gillies
2012 — conf
A Priori-Driven PCA.
ACCV Workshops (2)
Carlos E. Thomaz, Gilson A. Giraldi, Joaquim F. Pinto da Costa, Duncan Fyfe Gillies
2012 — conf
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants.
MLMI
Loizos Markides, Duncan Fyfe Gillies
2012 — conf
Towards Identification and Characterisation of Selective fMRI Feature Sets Using Independent Component Analysis.
PRNI
Loizos Markides, Duncan Fyfe Gillies
2009 — conf
A Multi-linear Discriminant Analysis of 2D Frontal Face Images.
SIBGRAPI
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio Giraldi, Edson C. Kitani, João Ricardo Sato, Duncan Fyfe Gillies
2007 J jnl
A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput.
Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2007 J jnl
An interactive simulation system for training and treatment planning in orthodontics.
Comput. Graph.
Maria Andréia F. Rodrigues, Wendel Bezerra Silva, Milton E. Barbosa Neto, Duncan Fyfe Gillies, Isabel M. M. P. Ribeiro
2007 J jnl
Multivariate Statistical Differences of MRI Samples of the Human Brain.
J. Math. Imaging Vis.
Carlos E. Thomaz, Fabio L. S. Duran, Geraldo Filho Bussato, Duncan Fyfe Gillies, Daniel Rueckert
2006 — conf
A Statistical Discriminant Model for Face Interpretation and Reconstruction.
SIBGRAPI
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gillies
2006 J jnl
A maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition.
J. Braz. Comput. Soc.
Carlos E. Thomaz, Edson C. Kitani, Duncan Fyfe Gillies
2006 B conf
A whole brain morphometric analysis of changes associated with pre-term birth.
Image Processing
Carlos E. Thomaz, James P. Boardman, Serena J. Counsell, Derek L. G. Hill, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2006 — conf
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach.
SIBGRAPI
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A. Oliveira, Fabio L. S. Duran, Geraldo Filho Bussato, Duncan Fyfe Gillies, Daniel Rueckert
2005 — conf
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition.
SIBGRAPI
Carlos E. Thomaz, Duncan Fyfe Gillies
2004 J jnl
A new covariance estimate for Bayesian classifiers in biometric recognition.
IEEE Trans. Circuits Syst. Video Technol.
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
2004 — conf
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
MICCAI (1)
Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
2003 C conf
A New Fisher-Based Method Applied to Face Recognition.
CAIP
Carlos E. Thomaz, Duncan Fyfe Gillies
2003 — conf
Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology.
METMBS
Jung-Wook Bang, Alexandros Pappas, Duncan Fyfe Gillies, Stephen H. Muggleton
2003 J jnl
Using mixture covariance matrices to improve face and facial expression recognitions.
Pattern Recognit. Lett.
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
2003 — conf
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition.
AVBPA
Carlos E. Thomaz, Duncan Fyfe Gillies
2002 — conf
A New Measure for the Accuracy of a Bayesian Network.
MICAI
Alexandros Pappas, Duncan Fyfe Gillies
2002 — conf
A New Quadratic Classifier Applied to Biometric Recognition.
Biometric Authentication
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
2002 — conf
Navigation Advice from pq-Histograms.
MICAI
Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies
2002 A* conf
The pq-Histogram as a Navigation Clue.
ICRA
Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies
2002 B conf
Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology.
PRICAI
Jung-Wook Bang, Duncan Fyfe Gillies
2001 — conf
Realistic Deformable Models for Simulating the Tongue during Laryngoscopy.
MIAR
Maria Andréia F. Rodrigues, Duncan Fyfe Gillies, P. Charters
2001 — conf
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions.
AVBPA
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
1998 Misc conf
A New Approach to Learning Bayesian Network Classifiers from Data: Using Observed Statistical Frequencies.
AIMSA
Tarkan Tahseen, Duncan Fyfe Gillies
1998 J jnl
Modelling and simulation of the tongue during laryngoscopy.
Comput. Networks
Maria Andréia F. Rodrigues, Duncan Fyfe Gillies, P. Charters
1998 J jnl
Probabilistic reasoning and multiple-expert methodology for correlated objective data.
Artif. Intell. Eng.
Chee-Keong Kwoh, Duncan Fyfe Gillies
1997 — conf
Choice of error cost function for training unobservable nodes in Bayesian networks.
KES (2)
Chee-Keong Kwoh, Duncan Fyfe Gillies
1996 J jnl
Using Hidden Nodes in Bayesian Networks.
Artif. Intell.
Chee-Keong Kwoh, Duncan Fyfe Gillies
1996 J jnl
Vision based navigation system for an endoscope.
Image Vis. Comput.
Gul N. Khan, Duncan Fyfe Gillies
1995 — conf
Determination of an autonomous vehicle's position by matching the road curvature.
Mobile Robots
Chao-Chi Huang, Duncan Fyfe Gillies
1995 C conf
Estimating the initial values of unobservable variables in visual probabilistic networks.
CAIP
Chee-Keong Kwoh, Duncan Fyfe Gillies
1994 J jnl
Probabilistic reasoning in high-level vision.
Image Vis. Comput.
Luis Enrique Sucar, Duncan Fyfe Gillies
1993 J jnl
Objective Probabilities in Expert Systems.
Artif. Intell.
Luis Enrique Sucar, Duncan Fyfe Gillies, D. A. Gillies
1992 A conf
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks.
UAI
Luis Enrique Sucar, Duncan Fyfe Gillies
1992 J jnl
Extracting contours by perceptual grouping.
Image Vis. Comput.
Gul N. Khan, Duncan Fyfe Gillies
1991 C conf
Handling Uncertainty in Knowledge-Based Computer Vision.
ECSQARU
Luis Enrique Sucar, Duncan Fyfe Gillies
1990 — conf
Knowledge-based Assistant for Colonscopy.
IEA/AIE (Vol. 2)
Luis Enrique Sucar, Duncan Fyfe Gillies
1980 J jnl
Synthesis and Structural Analysis of Abstract Programs.
Comput. J.
D. F. Cowell, Duncan Fyfe Gillies, A. A. Kaposi