Brendan McCane

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 49

Top Topics

Reinforcement Learning

Mahalanobis Distance

Top Venues

Mach. Vis. Appl.

Publications

Juncheng Liu, Brendan McCane, Steven Mills
Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. 35 (1) (2024)
Haitao Xu, Lech Szymanski, Brendan McCane
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Hamza Bennani, Brendan McCane, Jon Cornwall
human lumbar spine from biplanar radiographs. Comput. Medical Imaging Graph. 96 (2022)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. 224 (2022)
Lech Szymanski, Brendan McCane, Craig Atkinson
Conceptual complexity of neural networks. Neurocomputing 469 (2022)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing 428 (2021)
Juncheng Liu, Brendan McCane, Steven Mills
Learning to Explore by Reinforcement over High-Level Options. CoRR (2021)
Lech Szymanski, Brendan McCane, Craig Atkinson
Conceptual capacity and effective complexity of neural networks. CoRR (2021)
Claudia Ott, Brendan McCane, Nick Meek
Mastery Learning in CS1 - An Invitation to Procrastinate?: Reflecting on Six Years of Mastery Learning. ITiCSE (2021)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. IVCNZ (2020)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV (2020)
Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson
MIME: Mutual Information Minimisation Exploration. CoRR (2020)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. IVCNZ (2020)
Shenghuan Zhang, Brendan McCane, Phoebe Neo, Shabah M. Shadli, Neil McNaughton
Trait depressivity prediction with EEG signals via LSBoost. IJCNN (2020)
Juncheng Liu, Steven Mills, Brendan McCane
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR (2020)
Juncheng Liu, Steven Mills, Brendan McCane
Variational Autoencoder for 3D Voxel Compression. IVCNZ (2020)
Hamza Bennani, Brendan McCane
Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs. IVCNZ (2019)
Haitao Xu, Brendan McCane, Lech Szymanski
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
PProCRC: Probabilistic Collaboration of Image Patches. CoRR (2019)
Lech Szymanski, Brendan McCane, Craig Atkinson
Switched linear projections and inactive state sensitivity for deep neural network interpretability. CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Distance Metric Learned Collaborative Representation Classifier. CoRR (2019)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR (2019)
Daniel Slack, Alistair Knott, Brendan McCane
Executing Declarative Parallel Representations of Sequences with Temporal Pooling. IJCNN (2019)
Yi Wang, Brendan McCane, Neil McNaughton, Zhiyi Huang, Shabah M. Shadli, Phoebe Neo
AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. IJCNN (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
CoCoNet: A Collaborative Convolutional Network. CoRR (2019)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Fine-grained Collaborative K-Means Clustering. IVCNZ (2018)
Yi Wang, Zhiyi Huang, Brendan McCane, Phoebe Neo
EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition. IJCNN (2018)
Brendan McCane, Lech Szymanski
Efficiency of deep networks for radially symmetric functions. Neurocomputing 313 (2018)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR (2018)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
LOOP Descriptor: Local Optimal-Oriented Pattern. IEEE Signal Process. Lett. 25 (5) (2018)
Lech Szymanski, Brendan McCane, Michael Albert
The effect of the choice of neural network depth and breadth on the size of its hypothesis space. CoRR (2018)
Haitao Xu, Brendan McCane, Lech Szymanski
Twin Bounded Large Margin Distribution Machine. Australasian Conference on Artificial Intelligence (2018)
Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR (2018)
Claudia Ott, Brendan McCane, Nick Meek
Five years of Mastery Learning: What did we learn? Koli Calling (2018)
Brendan McCane, Lech Szymanski
Some Approximation Bounds for Deep Networks. CoRR (2018)
Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou
Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR (2017)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). BMVC (2017)
Russel Mesbah, Brendan McCane, Steven Mills
Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. IJCB (2017)
Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins
Mastery Learning in Introductory Programming. ACE (2017)
Brendan McCane, Lech Szymanski
Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks. CoRR (2017)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. CoRR (2017)
Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins
Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR (2017)
Craig Atkinson, Brendan McCane, Lech Szymanski
Increasing the accuracy of convolutional neural networks with progressive reinitialisation. IVCNZ (2017)
Daniel Slack, Brendan McCane, Alistair Knott
Self-organising temporal pooling. IJCNN (2017)
Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
Collaborative representation based fine-grained species recognition. IVCNZ (2016)
Brendan McCane, Lech Szymanski
Deep networks are efficient for circular manifolds. ICPR (2016)
Xiping Fu, Brendan McCane, Steven Mills, Michael Albert, Lech Szymanski
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing. CoRR (2016)
Rassoul Mesbah, Brendan McCane, Steven Mills
Deep convolutional encoder-decoder for myelin and axon segmentation. IVCNZ (2016)
Hamza Bennani, Brendan McCane, Jon Cornwall
Three Dimensional (3D) Lumbar Vertebrae Data Set. Data Sci. J. 15 (2016)
Adrien Jule, Brendan McCane, Alistair Knott, Steven Mills
Discriminative touch from pressure sensors. ICARA (2015)
Xiping Fu, Brendan McCane, Steven Mills, Michael Albert
How to select hashing bits? A direct measurement approach. IVCNZ (2015)
Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
Adapting generic trackers for tracking faces. IVCNZ (2015)
Nabeel Younus Khan, Brendan McCane, Steven Mills
Better than SIFT? Mach. Vis. Appl. 26 (6) (2015)
Brendan McCane
Random projections for feature matching. IVCNZ (2014)
Xiping Fu, Brendan McCane, Steven Mills, Michael Albert
NOKMeans: Non-Orthogonal K-means Hashing. ACCV (1) (2014)
Umair Mateen Khan, Steven Mills, Brendan McCane, Andrew Trotman
Emergent Properties from Feature Co-occurrence in Image Collections. ICPR (2014)
Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
3D Face Tracking in Fisheye Stereo Video Using Particle Filters. IVCNZ (2014)
Brendan McCane
Case deletion for fundamental matrix computation. IVCNZ (2014)
Lech Szymanski, Brendan McCane
Deep Networks are Effective Encoders of Periodicity. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
Lech Szymanski, Brendan McCane
Learning in deep architectures with folding transformations. IJCNN (2013)
Xiping Fu, Shawn Martin, Steven Mills, Brendan McCane
Improved Spectral Clustering Using Adaptive Mahalanobis Distance. ACPR (2013)
Nabeel Younus Khan, Brendan McCane
Analysis of Verification Methods for Indoor Image Matching. ACPR (2013)
Ignas Kukenys, Brendan McCane
Touch tracking with a particle filter. Mach. Vis. Appl. 24 (7) (2013)
Xiping Fu, Brendan McCane, Michael Albert, Steven Mills
Action recognition based on principal geodesic analysis. IVCNZ (2013)
Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
The integral image method for fisheye images. IVCNZ (2013)
Nabeel Younus Khan, Brendan McCane, Steven Mills
3D versus 2D based indoor image matching analysis on images from low cost mobile devices. IVCNZ (2013)
Nabeel Younus Khan, Brendan McCane
Smartphone application for indoor scene localization. ASSETS (2012)
Brendan McCane
The linear space of all images smaller than 32x32. IVCNZ (2012)
Nabeel Younus Khan, Brendan McCane, Steven Mills
Vision based indoor scene localization via smart phone. CHINZ (2012)
Nabeel Younus Khan, Brendan McCane, Steven Mills
Feature set reduction for image matching in large scale environments. IVCNZ (2012)
Umair Mateen Khan, Brendan McCane, Andrew Trotman
A feature compression scheme for large scale image retrieval systems. IVCNZ (2012)
Lech Szymanski, Brendan McCane
Push-pull separability objective for supervised layer-wise training of neural networks. IJCNN (2012)
Umair Mateen Khan, Brendan McCane, Andrew Trotman
Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach. DICTA (2012)
Lech Szymanski, Brendan McCane
Deep, super-narrow neural network is a universal classifier. IJCNN (2012)
Nabeel Younus Khan, Brendan McCane, Geoff Wyvill
SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset. DICTA (2011)
Shing Chun Benny Lam, Brendan McCane, Robert Allen
Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis. Image Vis. Comput. 27 (10) (2009)
Andrés Adolfo Navarro Newball, Geoff Wyvill, Brendan McCane
Object Interaction Using Tabulated Spheres Subsets. TPCG (2009)
Alexis Angelidis, Brendan McCane
Fur simulation with spring continuum. Vis. Comput. 25 (3) (2009)
Ignas Kukenys, Brendan McCane, Tim Neumegen
Training Support Vector Machines on Large Sets of Image Data. ACCV (3) (2009)
Brendan McCane, Michael Albert
Distance functions for categorical and mixed variables. Pattern Recognit. Lett. 29 (7) (2008)
Ruihu Wang, Brendan McCane
Red Blood Cell Classification through Depth Map and Surface Feature. ISCSCT (2) (2008)
Brendan McCane, Terry Caelli
Diagnostic tools for evaluating and updating hidden Markov models. Pattern Recognit. 37 (7) (2004)
Scott A. King, Alistair Knott, Brendan McCane
Language-Driven Nonverbal Communication in a Bilingual Conversational Agent. CASA (2003)
Terry Caelli, Brendan McCane
Components analysis of hidden Markov models in computer vision. ICIAP (2003)
Brendan McCane, Ben Galvin, Kevin Novins
Algorithmic Fusion for More Robust Feature Tracking. Int. J. Comput. Vis. 49 (1) (2002)
Lu Da, Pu Wei, Brendan McCane
Character Preclassification Based on Fuzzy Typographical Analysis. ICDAR (2001)
Brendan McCane, Kevin Novins, D. Crannitch, Ben Galvin
On Benchmarking Optical Flow. Comput. Vis. Image Underst. 84 (1) (2001)
Kevin Novins, Brendan McCane
Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum. Int. J. Pattern Recognit. Artif. Intell. 15 (5) (2001)
Brendan McCane
Snakes and Spiders. ICPR (2000)
Ben Galvin, Brendan McCane, Kevin Novins
OSCAR: Object Segmentation Using Correspondence and Relaxation. 3DIM (1999)
David Mason, Brendan McCane, Kevin Novins
Generating Motion Fields of Complex Scenes. Computer Graphics International (1999)
Ben Galvin, Brendan McCane, Kevin Novins
Virtual Snakes for Occlusion Analysis. CVPR (1999)
Ben Galvin, Brendan McCane, Kevin Novins, David Mason, Steven Mills
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms. BMVC (1998)
Ben Galvin, Kevin Novins, Brendan McCane
Motion-based Object Segmentation using Active Contours. IVCNZ (1998)
Brendan McCane, Terry M. Caelli
Multi-scale adaptive segmentation using edge and region based attributes. KES (1) (1997)
Brendan McCane, Terry Caelli, Olivier Y. de Vel
Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. Int. J. Pattern Recognit. Artif. Intell. 11 (6) (1997)
Brendan McCane, Terry Caelli, Olivier Y. de Vel
Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops (1996)