Brendan McCane

Orcid: 0000-0001-8055-3331

Affiliations:
  • University of Otago, NZ


According to our database1, Brendan McCane authored at least 94 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning to explore by reinforcement over high-level options.
Mach. Vis. Appl., January, 2024

2023
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

2022
Conceptual complexity of neural networks.
Neurocomputing, 2022

RocNet: Recursive octree network for efficient 3D processing.
Comput. Vis. Image Underst., 2022

Three-dimensional reconstruction of <i>In Vivo</i> human lumbar spine from biplanar radiographs.
Comput. Medical Imaging Graph., 2022

2021
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting.
Neurocomputing, 2021

Conceptual capacity and effective complexity of neural networks.
CoRR, 2021

Mastery Learning in CS1 - An Invitation to Procrastinate?: Reflecting on Six Years of Mastery Learning.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

2020
MIME: Mutual Information Minimisation Exploration.
CoRR, 2020

Variational Autoencoder for 3D Voxel Compression.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Trait depressivity prediction with EEG signals via LSBoost.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RocNet: Recursive Octree Network for Efficient 3D Deep Representation.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal.
CoRR, 2019

Switched linear projections and inactive state sensitivity for deep neural network interpretability.
CoRR, 2019

Distance Metric Learned Collaborative Representation Classifier.
CoRR, 2019

PProCRC: Probabilistic Collaboration of Image Patches.
CoRR, 2019

CoCoNet: A Collaborative Convolutional Network.
CoRR, 2019

Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2019

Executing Declarative Parallel Representations of Sequences with Temporal Pooling.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
LOOP Descriptor: Local Optimal-Oriented Pattern.
IEEE Signal Process. Lett., 2018

Efficiency of deep networks for radially symmetric functions.
Neurocomputing, 2018

The effect of the choice of neural network depth and breadth on the size of its hypothesis space.
CoRR, 2018

Some Approximation Bounds for Deep Networks.
CoRR, 2018

Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks.
CoRR, 2018

Five years of Mastery Learning: What did we learn?
Proceedings of the 18th Koli Calling International Conference on Computing Education Research, 2018

Fine-grained Collaborative K-Means Clustering.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Twin Bounded Large Margin Distribution Machine.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera.
CoRR, 2017

Effects of the optimisation of the margin distribution on generalisation in deep architectures.
CoRR, 2017

Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks.
CoRR, 2017

Increasing the accuracy of convolutional neural networks with progressive reinitialisation.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Self-organising temporal pooling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC).
Proceedings of the British Machine Vision Conference 2017, 2017

Improving Spatial Context in CNNs for Semantic Medical Image Segmentation.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Mastery Learning in Introductory Programming.
Proceedings of the Nineteenth Australasian Computing Education Conference, 2017

2016

Three Dimensional (3D) Lumbar Vertebrae Data Set.
Data Sci. J., 2016

Auto-JacoBin: Auto-encoder Jacobian Binary Hashing.
CoRR, 2016

Deep convolutional encoder-decoder for myelin and axon segmentation.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Collaborative representation based fine-grained species recognition.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Deep networks are efficient for circular manifolds.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Better than SIFT?
Mach. Vis. Appl., 2015

Adapting generic trackers for tracking faces.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

How to select hashing bits? A direct measurement approach.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Discriminative touch from pressure sensors.
Proceedings of the 6th International Conference on Automation, Robotics and Applications, 2015

2014
Deep Networks are Effective Encoders of Periodicity.
IEEE Trans. Neural Networks Learn. Syst., 2014

3D Face Tracking in Fisheye Stereo Video Using Particle Filters.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Random projections for feature matching.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Case deletion for fundamental matrix computation.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Emergent Properties from Feature Co-occurrence in Image Collections.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

NOKMeans: Non-Orthogonal K-means Hashing.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Touch tracking with a particle filter.
Mach. Vis. Appl., 2013

The integral image method for fisheye images.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

3D versus 2D based indoor image matching analysis on images from low cost mobile devices.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Action recognition based on principal geodesic analysis.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Learning in deep architectures with folding transformations.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Analysis of Verification Methods for Indoor Image Matching.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Improved Spectral Clustering Using Adaptive Mahalanobis Distance.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
The linear space of all images smaller than 32x32.
Proceedings of the Image and Vision Computing New Zealand, 2012

A feature compression scheme for large scale image retrieval systems.
Proceedings of the Image and Vision Computing New Zealand, 2012

Feature set reduction for image matching in large scale environments.
Proceedings of the Image and Vision Computing New Zealand, 2012

Deep, super-narrow neural network is a universal classifier.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Push-pull separability objective for supervised layer-wise training of neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Vision based indoor scene localization via smart phone.
Proceedings of the 13th Annual Conference of the NZ ACM Special Interest Group on Human-Computer Interaction, 2012

Smartphone application for indoor scene localization.
Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility, 2012

2011
SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2009
Fur simulation with spring continuum.
Vis. Comput., 2009

Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis.
Image Vis. Comput., 2009

Object Interaction Using Tabulated Spheres Subsets.
Proceedings of the EG UK Theory and Practice of Computer Graphics, 2009

Training Support Vector Machines on Large Sets of Image Data.
Proceedings of the Computer Vision, 2009

2008
Distance functions for categorical and mixed variables.
Pattern Recognit. Lett., 2008

Red Blood Cell Classification through Depth Map and Surface Feature.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

2004
Diagnostic tools for evaluating and updating hidden Markov models.
Pattern Recognit., 2004

2003
Components analysis of hidden Markov models in computer vision.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Language-Driven Nonverbal Communication in a Bilingual Conversational Agent.
Proceedings of the 16th International Conference on Computer Animation and Social Agents, 2003

2002
Algorithmic Fusion for More Robust Feature Tracking.
Int. J. Comput. Vis., 2002

2001
Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum.
Int. J. Pattern Recognit. Artif. Intell., 2001

On Benchmarking Optical Flow.
Comput. Vis. Image Underst., 2001

Character Preclassification Based on Fuzzy Typographical Analysis.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

2000
Snakes and Spiders.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Virtual Snakes for Occlusion Analysis.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Generating Motion Fields of Complex Scenes.
Proceedings of the Computer Graphics International Conference, CGI 1999, Canmore, Alberta, 1999

OSCAR: Object Segmentation Using Correspondence and Relaxation.
Proceedings of the 2nd International Conference on 3D Digital Imaging and Modeling (3DIM '99), 1999

1998
Motion-based Object Segmentation using Active Contours.
Proceedings of the Image and Vision Computing New Zealand, International Conference, 1998

Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms.
Proceedings of the British Machine Vision Conference 1998, 1998

1997
Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information.
Int. J. Pattern Recognit. Artif. Intell., 1997

Multi-scale adaptive segmentation using edge and region based attributes.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1997

1996
Inducing complex spatial descriptions in two dimensional scenes.
Proceedings of the Learning and Reasoning with Complex Representations, 1996


  Loading...