Duncan Fyfe Gillies

Author Info

Name	Affiliation	Papers
DUNCAN FYFE GILLIES	Imperial Coll, Dept Comp, London, England	33
Collaborators	Citations	PageRank
44	97	17.86
Referers	Referees	References
248	454	236

Search Limit

100454

Publications (33 rows)

Collaborators (44 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Photorealistic avatars to enhance the efficacy of Selfattachment psychotherapy	1	0.38	2020
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks.	0	0.34	2018
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network.	0	0.34	2018
Learning Multiple Categories on Deep Convolution Networks.	0	0.34	2018
Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements.	0	0.34	2017
Patch forest: a hybrid framework of random forest and patch-based segmentation.	1	0.35	2016
Overfitting in linear feature extraction for classification of high-dimensional image data.	5	0.39	2016
Automatic derivation of design schemata and subsequent generation of designs.	0	0.34	2016
High-throughput mouse phenotyping using non-rigid registration and robust principal component analysis.	1	0.38	2016
Priori-driven dimensions of face-space: experiments incorporating eye-tracking information.	1	0.41	2016
Non-Rigid Registration And Robust Principal Component Analysis With Variation Priors: A High-Throughput Mouse Phenotyping Approach	0	0.34	2016
A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images.	1	0.35	2015
An Estimate of Mutual Information that Permits Closed-Form Optimisation.	1	0.35	2013
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants.	0	0.34	2012
Towards Identification and Characterisation of Selective fMRI Feature Sets Using Independent Component Analysis.	1	0.43	2012
A Multi-linear Discriminant Analysis of 2D Frontal Face Images	2	0.38	2009
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach	3	0.43	2006
A maximum uncertainty LDA-based approach for limited sample size problems — with application to face recognition	22	1.60	2006
Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images	14	1.03	2004
Interpretation of Hidden Node Methodology in Automated Classification of Neural Cell Morphology	0	0.34	2003
Navigation Advice from pq-Histograms	0	0.34	2002
A New Measure for the Accuracy of a Bayesian Network	2	0.50	2002
Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology	0	0.34	2002
The pq-histogram as a navigation clue	3	0.53	2002
A New Quadratic Classifier Applied to Biometric Recognition	6	0.75	2002
A New Approach to Learning Bayesian Network Classifiers from Data: Using Observed Statistical Frequencies	0	0.34	1998
Probabilistic reasoning and multiple-expert methodology for correlated objective data	1	0.35	1998
Choice of error cost function for training unobservable nodes in Bayesian networks	0	0.34	1997
Using hidden nodes in Bayesian networks	20	1.67	1996
Estimating the initial values of unobservable variables in visual probabilistic networks	1	0.38	1995
The Determination Of An Autonomous Vehicle'S Position By Matching The Road Curvature	1	0.40	1995
Handling Uncertainty in Knowledge-Based Computer Vision	3	1.11	1991
Synthesis and Structural Analysis of Abstract Programs	7	1.63	1980