Duncan Fyfe Gillies

Publication Activity (10 Years)

Years Active: 1980-2017
Publications (10 Years): 3

Top Topics

Activation Detection

Feature Extraction

Top Venues

Pattern Recognit.

Publications

Carlos E. Thomaz, Vagner do Amaral, Gilson A. Giraldi, Duncan Fyfe Gillies, Daniel Rueckert
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements. CoRR (2017)
Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, Daniel Rueckert
Priori-driven dimensions of face-space: experiments incorporating eye-tracking information. ETRA (2016)
Raymond Liu, Duncan Fyfe Gillies
Overfitting in linear feature extraction for classification of high-dimensional image data. Pattern Recognit. 53 (2016)
Zena M. Hira, Duncan Fyfe Gillies
A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data. Adv. Bioinformatics 2015 (2015)
Kate Reed, Duncan Fyfe Gillies
Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation. EvoMUSART (2015)
Loizos Markides, Duncan Fyfe Gillies
Improving brain decoding through constrained and parametrized temporal smoothing. ISBI (2014)
Loizos Markides, Duncan Fyfe Gillies
Unsupervised metrics of brain region significance for event-related fMRI intersession experiments. PRNI (2014)
Loizos Markides, Duncan Fyfe Gillies
Intensity normalisation for large-scale fMRI brain decoding. PRNI (2014)
Raymond Liu, Duncan Fyfe Gillies
An Estimate of Mutual Information that Permits Closed-Form Optimisation. Entropy 15 (5) (2013)
Luis Enrique Sucar, Duncan Fyfe Gillies
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks CoRR (2013)
Carlos E. Thomaz, Gilson A. Giraldi, Joaquim F. Pinto da Costa, Duncan Fyfe Gillies
A Priori-Driven PCA. ACCV Workshops (2) (2012)
Loizos Markides, Duncan Fyfe Gillies
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants. MLMI (2012)
Loizos Markides, Duncan Fyfe Gillies
Towards Identification and Characterisation of Selective fMRI Feature Sets Using Independent Component Analysis. PRNI (2012)
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio Giraldi, Edson C. Kitani, João Ricardo Sato, Duncan Fyfe Gillies
A Multi-linear Discriminant Analysis of 2D Frontal Face Images. SIBGRAPI (2009)
Maria Andréia F. Rodrigues, Wendel Bezerra Silva, Milton E. Barbosa Neto, Duncan Fyfe Gillies, Isabel M. M. P. Ribeiro
An interactive simulation system for training and treatment planning in orthodontics. Comput. Graph. 31 (5) (2007)
Carlos E. Thomaz, Fabio L. S. Duran, Geraldo F. Busatto, Duncan Fyfe Gillies, Daniel Rueckert
Multivariate Statistical Differences of MRI Samples of the Human Brain. J. Math. Imaging Vis. 29 (2-3) (2007)
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
A multivariate statistical analysis of the developing human brain in preterm infants. Image Vis. Comput. 25 (6) (2007)
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
A whole brain morphometric analysis of changes associated with pre-term birth. Medical Imaging: Image Processing (2006)
Carlos E. Thomaz, Edson C. Kitani, Duncan Fyfe Gillies
A maximum uncertainty LDA-based approach for limited sample size problems - with application to face recognition. J. Braz. Comput. Soc. 12 (2) (2006)
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A. Oliveira, Fabio L. S. Duran, Geraldo F. Busatto, Duncan Fyfe Gillies, Daniel Rueckert
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach. SIBGRAPI (2006)
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gillies
A Statistical Discriminant Model for Face Interpretation and Reconstruction. SIBGRAPI (2006)
Carlos E. Thomaz, Duncan Fyfe Gillies
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition. SIBGRAPI (2005)
Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images. MICCAI (1) (2004)
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
A new covariance estimate for Bayesian classifiers in biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14 (2) (2004)
Carlos E. Thomaz, Duncan Fyfe Gillies
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition. AVBPA (2003)
Carlos E. Thomaz, Duncan Fyfe Gillies
A New Fisher-Based Method Applied to Face Recognition. CAIP (2003)
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
Using mixture covariance matrices to improve face and facial expression recognitions. Pattern Recognit. Lett. 24 (13) (2003)
Jung-Wook Bang, Alexandros Pappas, Duncan Fyfe Gillies, Stephen Muggleton
Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology. METMBS (2003)
Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies
The pq-Histogram as a Navigation Clue. ICRA (2002)
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
A New Quadratic Classifier Applied to Biometric Recognition. Biometric Authentication (2002)
Jung-Wook Bang, Duncan Fyfe Gillies
Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology. PRICAI (2002)
Alexandros Pappas, Duncan Fyfe Gillies
A New Measure for the Accuracy of a Bayesian Network. MICAI (2002)
Giovani Gómez, Luis Enrique Sucar, Duncan Fyfe Gillies
Navigation Advice from pq-Histograms. MICAI (2002)
Maria Andréia F. Rodrigues, Duncan Fyfe Gillies, P. Charters
Realistic Deformable Models for Simulating the Tongue during Laryngoscopy. MIAR (2001)
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions. AVBPA (2001)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Probabilistic reasoning and multiple-expert methodology for correlated objective data. Artif. Intell. Eng. 12 (1-2) (1998)
Tarkan Tahseen, Duncan Fyfe Gillies
A New Approach to Learning Bayesian Network Classifiers from Data: Using Observed Statistical Frequencies. AIMSA (1998)
Maria Andréia F. Rodrigues, Duncan Fyfe Gillies, P. Charters
Modelling and simulation of the tongue during laryngoscopy. Comput. Networks 30 (20-21) (1998)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Choice of error cost function for training unobservable nodes in Bayesian networks. KES (2) (1997)
Gul N. Khan, Duncan Fyfe Gillies
Vision based navigation system for an endoscope. Image Vis. Comput. 14 (10) (1996)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Using Hidden Nodes in Bayesian Networks. Artif. Intell. 88 (1-2) (1996)
Chao-Chi Huang, Duncan Fyfe Gillies
Determination of an autonomous vehicle's position by matching the road curvature. Mobile Robots (1995)
Chee-Keong Kwoh, Duncan Fyfe Gillies
Estimating the initial values of unobservable variables in visual probabilistic networks. CAIP (1995)
Luis Enrique Sucar, Duncan Fyfe Gillies
Probabilistic reasoning in high-level vision. Image Vis. Comput. 12 (1) (1994)
Luis Enrique Sucar, Duncan Fyfe Gillies, D. A. Gillies
Objective Probabilities in Expert Systems. Artif. Intell. 61 (2) (1993)
Luis Enrique Sucar, Duncan Fyfe Gillies
Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks. UAI (1992)
Gul N. Khan, Duncan Fyfe Gillies
Extracting contours by perceptual grouping. Image Vis. Comput. 10 (2) (1992)
Luis Enrique Sucar, Duncan Fyfe Gillies
Handling Uncertainty in Knowledge-Based Computer Vision. ECSQARU (1991)
Luis Enrique Sucar, Duncan Fyfe Gillies
Knowledge-based Assistant for Colonscopy. IEA/AIE (Vol. 2) (1990)
D. F. Cowell, Duncan Fyfe Gillies, A. A. Kaposi
Synthesis and Structural Analysis of Abstract Programs. Comput. J. 23 (3) (1980)