Duncan Fyfe Gillies

发表

A new covariance estimate for Bayesian classifiers in biometric recognition

Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

Computational visualisation: graphics, abstraction and interactivity [Book Review]

Duncan Fyfe Gillies, 1999 .

Toward efficient quality of information estimation in simultaneous acoustic tracking and classification of multiple targets

Duncan Fyfe Gillies, Thyagaraju Damarla, David J. Thornley, 2009, 2009 12th International Conference on Information Fusion.

Using mixture covariance matrices to improve face and facial expression recognitions

Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa, 2003, Pattern Recognit. Lett..

The pq-histogram as a navigation clue

Duncan Fyfe Gillies, Luis Enrique Sucar, G. Gómez, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

Realistic computer graphics models for simulation and training of cirurgical procedures.

Duncan Fyfe Gillies, Maria Andréia Formico Rodrigues, Peter Charters, 2003 .

Patch forest: a hybrid framework of random forest and patch-based segmentation

Duncan Fyfe Gillies, Zhongliu Xie, D. Gillies, 2016, SPIE Medical Imaging.

3D facial expression analysis and deformation

Duncan Fyfe Gillies, Jacey-Lynn Minoi, D. Gillies, 2007, APGV.

Parallel-Hierarchical Image Partitioning and Region Extraction

Duncan Fyfe Gillies, Gul N. Khan, 1992 .

Using stochastic process algebra models to estimate the quality of information in military sensor networks

Duncan Fyfe Gillies, Chatschik Bisdikian, David J. Thornley, 2008, SPIE Defense + Commercial Sensing.

Effect of microarray data heterogeneity on regulatory gene module discovery

Duncan Fyfe Gillies, Alok Mishra, 2007, BMC Systems Biology.

A New Approach to Learning Bayesian Network Classifiers from Data: Using Observed Statistical Frequencies

Duncan Fyfe Gillies, Tarkan Tahseen, 1998, AIMSA.

Deformable models for object recognition in aerial images

Duncan Fyfe Gillies, David M. Booth, A. L. Reno, 1998, Defense, Security, and Sensing.

Determination of an autonomous vehicle's position by matching the road curvature

Duncan Fyfe Gillies, Chao-Chi Huang, 1995, Other Conferences.

Realistic Generation and Real Time Animation of Images of the Human Colon

Duncan Fyfe Gillies, Christopher Williams, Angelo Haritsis, 1992, Comput. Graph. Forum.

Intelligent road-following system controlled by the Global Position System (GPS) and an error least square method

Duncan Fyfe Gillies, Chao-Chi Huang, 1995, Other Conferences.

Priori-driven dimensions of face-space: experiments incorporating eye-tracking information

Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, 2016, ETRA.

Probabilistic reasoning in high-level vision

Duncan Fyfe Gillies, Luis Enrique Sucar, L. Sucar, 1994, Image Vis. Comput..

On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants

Duncan Fyfe Gillies, Loizos Markides, D. Gillies, 2012, MLMI.

Semi Supervised Spectral Clustering for Regulatory Module Discovery

Duncan Fyfe Gillies, Alok Mishra, 2008, DILS.

Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks

Duncan Fyfe Gillies, Luis Enrique Sucar, 1992, UAI.

Generating reliable quality of information (QoI) metrics for target tracking

Duncan Fyfe Gillies, Chung Huat J. Tan, D. Gillies, 2009, Defense + Commercial Sensing.

A whole brain morphometric analysis of changes associated with pre-term birth

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2006, SPIE Medical Imaging.

Objective Probabilities in Expert Systems

Duncan Fyfe Gillies, Luis Enrique Sucar, D. A. Gillies, 1993, Artif. Intell..

Multivariate Statistical Differences of MRI Samples of the Human Brain

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2007, Journal of Mathematical Imaging and Vision.

Estimating the initial values of unobservable variables in visual probabilistic networks

Duncan Fyfe Gillies, Chee-Keong Kwoh, D. Gillies, 1995, CAIP.

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements pdf

Carlos E. Thomaz, Vagner do Amaral, Gilson A. Giraldi, 2017, ArXiv.

Automated Endoscope Navigation and Advisory System from medical imaging

Duncan Fyfe Gillies, Chee Keong Kwoh, Gul N. Khan, 1999 .

Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks

Duncan Fyfe Gillies, Chatschik Bisdikian, David J. Thornley, 2010, Comput. J..

Vision based navigation system for an endoscope

Duncan Fyfe Gillies, Gul N. Khan, 1996, Image Vis. Comput..

An interactive simulation system for training and treatment planning in orthodontics

Duncan Fyfe Gillies, Maria Andréia F. Rodrigues, Wendel Bezerra Silva, 2007, Comput. Graph..

Batch Normalization and the impact of batch structure on the behavior of deep convolution networks pdf

Duncan Fyfe Gillies, Mohamed Hajaj, 2018, ArXiv.

A Multi-Linear Statistical Method for Discriminant Analysis of 2D Frontal Face Images

Vagner do Amaral, Gilson A. Giraldi, Edson C. Kitani, 2012 .

Handling Uncertainty in Knowledge-Based Computer Vision

Duncan Fyfe Gillies, Luis Enrique Sucar, L. Sucar, 1991, ECSQARU.

Synthesis and Structural Analysis of Abstract Programs

Duncan Fyfe Gillies, A. A. Kaposi, D. F. Cowell, 1980, Comput. J..

A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images

Carlos E. Thomaz, Gilson A. Giraldi, Duncan Fyfe Gillies, 2015, 2015 Sixth International Conference on Emerging Security Technologies (EST).

A New Quadratic Classifier Applied to Biometric Recognition

Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa, 2002, Biometric Authentication.

Vortex segmentation from cardiac MR 2D velocity images using region growing about vortex centres

Duncan Fyfe Gillies, Anil Rao, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Probabilistic reasoning and multiple-expert methodology for correlated objective data

Duncan Fyfe Gillies, Chee-Keong Kwoh, D. Gillies, 1998, Artif. Intell. Eng..

Interactive computer graphics - functional, procedural and device-level methods

Duncan Fyfe Gillies, Peter Burger, D. Gillies, 1989, International computer science series.

Learning Multiple Categories on Deep Convolution Networks pdf

Duncan Fyfe Gillies, Mohamed Hajaj, D. Gillies, 2018, ArXiv.

Perceptual grouping and the Hough transform

Duncan Fyfe Gillies, Gul N. Khan, 1992, Other Conferences.

A Statistical Discriminant Model for Face Interpretation and Reconstruction

Carlos E. Thomaz, Edson C. Kitani, Duncan Fyfe Gillies, 2006, 2006 19th Brazilian Symposium on Computer Graphics and Image Processing.

A stochastic process algebraic abstraction of detection evidence fusion in tactical sensor networks

Duncan Fyfe Gillies, Chatschik Bisdikian, David J. Thornley, 2009, Defense + Commercial Sensing.

Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network pdf

Duncan Fyfe Gillies, Zhongliu Xie, 2018, ArXiv.

Extracting contours by perceptual grouping

Duncan Fyfe Gillies, Gul N. Khan, D. Gillies, 1992, Image Vis. Comput..

A New Fisher-Based Method Applied to Face Recognition

Carlos E. Thomaz, Duncan Fyfe Gillies, D. Gillies, 2003, CAIP.

A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition

Duncan Fyfe Gillies, Carlos Eduardo Thomaz, D. Gillies, 2005, SIBGRAPI.

Choice of error cost function for training unobservable nodes in Bayesian networks

Duncan Fyfe Gillies, Chee-Keong Kwoh, D. Gillies, 1997, Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97.

Knowledge-based assistant for colonscopy

Duncan Fyfe Gillies, Luis Enrique Sucar, L. Sucar, 1990, IEA/AIE.

Modelling and simulation of the tongue during laryngoscopy

Duncan Fyfe Gillies, Maria Andréia F. Rodrigues, P. Charters, 1998, Comput. Networks.

A multivariate statistical analysis of the developing human brain in preterm infants

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2007, Image Vis. Comput..

Non-rigid registration and robust principal component analysis with variation priors: A high-throughput mouse phenotyping approach

Duncan Fyfe Gillies, Zhongliu Xie, Asanobu Kitamoto, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Feature extraction and localisation using scale-invariant feature transform on 2.5D image

Duncan Fyfe Gillies, Minoi Jacey-Lynn, João Fradinho Oliveira, 2015 .

Intensity normalisation for large-scale fMRI brain decoding

Duncan Fyfe Gillies, Loizos Markides, D. Gillies, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Overfitting in linear feature extraction for classification of high-dimensional image data

Duncan Fyfe Gillies, Raymond Liu, D. Gillies, 2016, Pattern Recognit..

Transputer-based Implementation of a Parallel Machine Vision Method for Endoscope Navigation

Duncan Fyfe Gillies, Gul N. Khan, 1991 .

Unsupervised metrics of brain region significance for event-related fMRI intersession experiments

Duncan Fyfe Gillies, Loizos Markides, D. Gillies, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

An Estimate of Mutual Information that Permits Closed-Form Optimisation

Duncan Fyfe Gillies, Raymond Liu, 2013, Entropy.

A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data

Duncan Fyfe Gillies, Zena M. Hira, D. Gillies, 2015, Adv. Bioinformatics.

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2004, MICCAI.

Automatic derivation of design schemata and subsequent generation of designs

Duncan Fyfe Gillies, Kate Reed, 2016, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2006, 2006 19th Brazilian Symposium on Computer Graphics and Image Processing.

Navigation Advice from pq-Histograms

Duncan Fyfe Gillies, Luis Enrique Sucar, G. Gómez, 2002, MICAI.

A New Measure for the Accuracy of a Bayesian Network

Duncan Fyfe Gillies, Alexandros Pappas, 2002, MICAI.

Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition

Carlos E. Thomaz, Duncan Fyfe Gillies, D. Gillies, 2003, AVBPA.

A Parallel-Hierarchical Method For Grouping Line Segments Into Contours

Duncan Fyfe Gillies, Gul N. Khan, 1990, Optics & Photonics.

An eigenvalue-problem formulation for non-parametric mutual information maximisation for linear dimensionality reduction

Duncan Fyfe Gillies, Raymond Liu, 2012 .

A maximum uncertainty LDA-based approach for limited sample size problems — with application to face recognition

Carlos E. Thomaz, Edson C. Kitani, Duncan Fyfe Gillies, 2005, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05).

Towards Identification and Characterisation of Selective fMRI Feature Sets Using Independent Component Analysis

Duncan Fyfe Gillies, Loizos Markides, D. Gillies, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Automated endoscopic navigation and advisory system from medical image

Duncan Fyfe Gillies, Chee Keong Kwoh, Gul N. Khan, 1999, Medical Imaging.

Interpretation of Hidden Node Methodology with Network Accuracy

Duncan Fyfe Gillies, Jung-Wook Bang, Alexandros Pappas, 2003 .

Detecting Insertion Direction for an Automatic Endoscope

Duncan Fyfe Gillies, Gul N. Khan, 1989 .

Improved detection of embolic signals using multi scale wavelet filtering, AR and ANN, for TCD ultrasound

Duncan Fyfe Gillies, S. A. Marvasti, M. Ghandi, 2005 .

Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology

Duncan Fyfe Gillies, Stephen Muggleton, Jung-Wook Bang, 2003, METMBS.

Realistic deformable models for simulating the tongue during laryngoscopy

Duncan Fyfe Gillies, Maria Andréia F. Rodrigues, P. Charters, 2001, Proceedings International Workshop on Medical Imaging and Augmented Reality.

Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology

Duncan Fyfe Gillies, Jung-Wook Bang, 2002, PRICAI.

High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis

Duncan Fyfe Gillies, Zhongliu Xie, Asanobu Kitamoto, 2016, SPIE Medical Imaging.

Improving brain decoding through constrained and parametrized temporal smoothing

Duncan Fyfe Gillies, Loizos Markides, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Deformable models for laparoscopic surgery simulation

Duncan Fyfe Gillies, Konstantinos Moutsopoulos, K. Moutsopoulos, 1997, Comput. Networks ISDN Syst..

Translational Motion Compensation for Soft Tissue Velocity Images pdf

Duncan Fyfe Gillies, Guang-Zhong Yang, Jennifer Keegan, 2018, ArXiv.

A Priori-Driven PCA

Carlos E. Thomaz, Gilson A. Giraldi, Duncan Fyfe Gillies, 2012, ACCV Workshops.

An Interactive Graphic Simulator for the Teaching of Fibrendoscopic Techniques

Duncan Fyfe Gillies, Chris Williams, 1987, Eurographics.

Detecting endoscope insertion direction

Duncan Fyfe Gillies, Yutaka Takahashi, Gul N. Khan, 1989 .

Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation

Duncan Fyfe Gillies, Kate Reed, 2015, EvoMUSART.

Validation Issues in Regulatory Module Discovery

Duncan Fyfe Gillies, Alok Mishra, D. Gillies, 2010 .

Statistical Analysis of Facial Expression on 3D Face Shapes

Duncan Fyfe Gillies, Jacey-Lynn Minoi, D. Gillies, 2011 .

Using Hidden Nodes in Bayesian Networks

Duncan Fyfe Gillies, Chee-Keong Kwoh, D. Gillies, 1996, Artif. Intell..

Using Fourier information for the detection of the lumen in endoscope images

Duncan Fyfe Gillies, Chee Keong Kwoh, 1994, Proceedings of TENCON'94 - 1994 IEEE Region 10's 9th Annual International Conference on: 'Frontiers of Computer Technology'.

Using mixture covariance matrices to improve face and facial expression recognitions

Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiroz Feitosa, 2001, Pattern Recognit. Lett..

Small Sample Problem in Bayes Plug-in Classifier for Image Recognition

Duncan Fyfe Gillies, Raul Queiroz Feitosa, Carlos Eduardo Thomaz, 2001 .