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Brendan McCane
Brendan McCane
University of Otago
Geverifieerd e-mailadres voor cs.otago.ac.nz - Homepage
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Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms.
B Galvin, B McCane, K Novins, D Mason, S Mills
BMVC 98, 195-204, 1998
4281998
On benchmarking optical flow
B McCane, K Novins, D Crannitch, B Galvin
Computer Vision and Image Understanding 84 (1), 126-143, 2001
3952001
SIFT and SURF performance evaluation against various image deformations on benchmark dataset
NY Khan, B McCane, G Wyvill
2011 International Conference on Digital Image Computing: Techniques and …, 2011
2412011
LOOP descriptor: local optimal-oriented pattern
T Chakraborti, B McCane, S Mills, U Pal
IEEE Signal Processing Letters 25 (5), 635-639, 2018
1462018
Lumbar segmental instability: a criterion-related validity study of manual therapy assessment
JH Abbott, B McCane, P Herbison, G Moginie, C Chapple, T Hogarty
BMC musculoskeletal disorders 6, 1-10, 2005
1422005
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting
C Atkinson, B McCane, L Szymanski, A Robins
Neurocomputing 428, 291-307, 2021
1172021
EmotioNet: A 3-D convolutional neural network for EEG-based emotion recognition
Y Wang, Z Huang, B McCane, P Neo
2018 international joint conference on neural networks (IJCNN), 1-7, 2018
942018
Lumbar segmental mobility disorders: comparison of two methods of defining abnormal displacement kinematics in a cohort of patients with non-specific mechanical low back pain
JH Abbott, JM Fritz, B McCane, B Shultz, P Herbison, B Lyons, G Stefanko, ...
BMC musculoskeletal disorders 7, 1-11, 2006
942006
Distance functions for categorical and mixed variables
B McCane, M Albert
Pattern Recognition Letters 29 (7), 986-993, 2008
782008
Better than SIFT?
N Khan, B McCane, S Mills
Machine Vision and Applications 26, 819-836, 2015
632015
Deep networks are effective encoders of periodicity
L Szymanski, B McCane
IEEE transactions on neural networks and learning systems 25 (10), 1816-1827, 2014
552014
LOOP descriptor: Encoding repeated local patterns for fine-grained visual identification of lepidoptera
T Chakraborti, B McCane, S Mills, U Pal
arXiv preprint arXiv:1710.09317, 1-5, 2017
482017
Red blood cell segmentation from SEM images
J Vromen, B McCane
2009 24th International Conference Image and Vision Computing New Zealand, 44-49, 2009
422009
Support vector machines for human face detection
I Kukenys, B McCane
Proceedings of the New Zealand computer science research student conference …, 2008
392008
Algorithmic fusion for more robust feature tracking
B McCane, B Galvin, K Novins
International Journal of Computer Vision 49, 79-89, 2002
392002
On training cascade face detectors
B McCane, K Novins
Image and vision computing 9 (11), 2003
382003
On calculating the finite centre of rotation for rigid planar motion
B McCane, JH Abbott, T King
Medical engineering & physics 27 (1), 75-79, 2005
332005
Automated collection and analysis of infrared thermograms for measuring eye and cheek temperatures in calves
G Lowe, B McCane, M Sutherland, J Waas, A Schaefer, N Cox, M Stewart
Animals 10 (2), 292, 2020
302020
On the evaluation of image segmentation algorithms
B McCane
Digital Image Computing: Techniques and Applications, 455-461, 1997
291997
Mastery learning in introductory programming
B McCane, C Ott, N Meek, A Robins
Proceedings of the nineteenth australasian computing education conference, 1-10, 2017
282017
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Artikelen 1–20