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2020 – today
- 2024
[j20]Jeff Orchard, P. Michael Furlong, Kathryn Simone:
Efficient Hyperdimensional Computing With Spiking Phasors. Neural Comput. 36(9): 1886-1911 (2024)- [c41]P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith:
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. ICANN (4) 2024: 94-108 - [c40]P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard:
A Recurrent Dynamic Model for Efficient Bayesian Optimization*. NICE 2024: 1-5 - [i8]Ehsan Ganjidoost, Mallory A. Snow, Jeff Orchard:
Online Training of Hopfield Networks using Predictive Coding. CoRR abs/2406.14723 (2024) - [i7]Ehsan Ganjidoost, Jeff Orchard:
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. CoRR abs/2411.00222 (2024) - 2023
- [c39]Jeff Orchard
, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. ICONS 2023: 22:1-22:7 - [i6]Jeff Orchard, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. CoRR abs/2303.00066 (2023) - 2022
- [c38]Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard:
Biologically-Based Neural Representations Enable Fast Online Shallow Reinforcement Learning. CogSci 2022 - [c37]Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith:
A model of path integration that connects neural and symbolic representation. CogSci 2022 - [c36]Mallory A. Snow, Jeff Orchard:
Biological Softmax: Demonstrated in Modern Hopfield Networks. CogSci 2022 - [c35]Adam Safron, Zahra Sheikhbahaee, Nick J. Hay, Jeff Orchard, Jesse Hoey:
Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents. IWAI 2022: 343-354 - 2021
- [i5]Bing Chen, Mazharul Islam, Lin Wang, Jisuo Gao, Jeff Orchard:
Deconvolutional Density Network: Free-Form Conditional Density Estimation. CoRR abs/2105.14367 (2021) - 2020
- [j19]Roya Allison Cody, Bryan A. Tolson, Jeff Orchard:
Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms. J. Comput. Civ. Eng. 34(2) (2020) - [j18]Wei Sun, Jeff Orchard:
A Predictive-Coding Network That Is Both Discriminative and Generative. Neural Comput. 32(10): 1836-1862 (2020) - [j17]Lin Wang, Junteng Zheng, Jeff Orchard:
Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity. IEEE Trans. Cogn. Dev. Syst. 12(4): 797-808 (2020)
2010 – 2019
- 2019
- [j16]Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan:
PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation. J. Imaging 5(2): 26 (2019) - [j15]Lin Wang, Jeff Orchard:
Investigating the Evolution of a Neuroplasticity Network for Learning. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2131-2143 (2019) - [c34]Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard:
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming. ICANN (2) 2019: 373-386 - [i4]Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard:
A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression. CoRR abs/1904.03368 (2019) - [i3]Jeff Orchard, Wei Sun:
Making Predictive Coding Networks Generative. CoRR abs/1910.12151 (2019) - 2018
- [j14]David Xu, Andrew Clappison, Cameron Seth, Jeff Orchard:
Symmetric Predictive Estimator for Biologically Plausible Neural Learning. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4140-4151 (2018) - [c33]Rey Wiyatno, Jeff Orchard:
Style Memory: Making a Classifier Network Generative. ICCI*CC 2018: 16-21 - [i2]Rey Wiyatno, Jeff Orchard:
Style Memory: Making a Classifier Network Generative. CoRR abs/1803.01900 (2018) - 2017
- [j13]Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp:
Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access 5: 11645-11657 (2017) - [j12]Lin Wang, Bo Yang, Yuehui Chen, Xiaoqian Zhang, Jeff Orchard:
Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2255-2267 (2017) - [c32]Peng Wu, Jeff Orchard:
Using Flexible Neural Trees to Seed Backpropagation. ICONIP (1) 2017: 109-116 - [c31]Jeff Orchard, Louis Castricato:
Combating Adversarial Inputs Using a Predictive-Estimator Network. ICONIP (2) 2017: 118-125 - [c30]Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan:
Segmentation and feature extraction of retinal vascular morphology. Image Processing 2017: 101330V - [i1]Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan:
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation. CoRR abs/1712.06742 (2017) - 2016
- [j11]Lin Wang, Bo Yang, Jeff Orchard:
Particle swarm optimization using dynamic tournament topology. Appl. Soft Comput. 48: 584-596 (2016) - [c29]Lin Wang, Bo Yang, Jeff Orchard:
Discovering grid-cell models through evolutionary computation. CEC 2016: 4683-4690 - [c28]Jeff Orchard, Lin Wang:
The evolution of a generalized neural learning rule. IJCNN 2016: 4688-4694 - [c27]Lin Wang, Jeff Orchard, Bo Yang, Ajith Abraham:
Improving gene expression programming using diversity preservation tournament and its application in grid cell modeling. SMC 2016: 424-429 - 2015
- [j10]Jeff Orchard:
Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations. Neural Comput. 27(3): 548-560 (2015) - 2013
- [j9]Jeff Orchard, Hao Yang, Xiang Ji:
Does the Entorhinal Cortex use the Fourier Transform? Frontiers Comput. Neurosci. 7: 179 (2013) - [c26]Jeff Orchard, Hao Yang, Xiang Ji:
Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model. Canadian AI 2013: 138-149 - [c25]Xiang Ji, Shrinu Kushagra, Jeff Orchard:
Sensory Updates to Combat Path-Integration Drift. Canadian AI 2013: 263-270 - 2012
- [j8]Bryan P. Tripp, Jeff Orchard:
Population coding in sparsely connected networks of noisy neurons. Frontiers Comput. Neurosci. 6: 23 (2012) - 2010
- [j7]Jeff Orchard, Richard Mann:
Registering a MultiSensor Ensemble of Images. IEEE Trans. Image Process. 19(5): 1236-1247 (2010)
2000 – 2009
- 2009
- [j6]Yanwei Wang, Jeff Orchard:
Fast Discrete Orthonormal Stockwell Transform. SIAM J. Sci. Comput. 31(5): 4000-4012 (2009) - [j5]Alexander Wong, Jeff Orchard:
Robust Multimodal Registration Using Local Phase-Coherence Representations. J. Signal Process. Syst. 54(1-3): 89-100 (2009) - [c24]Yanwei Wang, Jeff Orchard:
The discrete orthonormal Stockwell transform for image restoration. ICIP 2009: 2761-2764 - [c23]Jeff Orchard, Laure Jonchery:
Ensemble registration: aligning many multi-sensor images simultaneously. Image Processing: Algorithms and Systems 2009: 72450 - [c22]Yanwei Wang, Jeff Orchard:
On the use of the Stockwell transform for image compression. Image Processing: Algorithms and Systems 2009: 724504 - 2008
- [j4]Jeff Orchard:
Multimodal image registration using floating regressors in the joint intensity scatter plot. Medical Image Anal. 12(4): 385-396 (2008) - [j3]Alexander Wong, Jeff Orchard:
Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR Registration. IEEE Trans. Geosci. Remote. Sens. 46(11): 3917-3925 (2008) - [c21]Jeff Orchard, Robert Staruch:
MRI reconstruction using real-time motion tracking: A simulation study. ACSCC 2008: 1910-1914 - [c20]Jeff Orchard, Mehran Ebrahimi, Alexander Wong:
Efficient nonlocal-means denoising using the SVD. ICIP 2008: 1732-1735 - [c19]Alexander Wong, Jeff Orchard:
A nonlocal-means approach to exemplar-based inpainting. ICIP 2008: 2600-2603 - [c18]Jeff Orchard, John T. W. Yeow:
Toward a Flexible and Portable CT Scanner. MICCAI (2) 2008: 188-195 - [c17]Jeff Orchard, Craig S. Kaplan:
Cut-out image mosaics. NPAR 2008: 79-87 - 2007
- [j2]Jeff Orchard:
Efficient Least Squares Multimodal Registration With a Globally Exhaustive Alignment Search. IEEE Trans. Image Process. 16(10): 2526-2534 (2007) - [c16]Rahul Sarkar, Chrishnika de Almeida, Noureen Syed, Sheliza Jamal, Jeff Orchard:
Intuitive Interface for the Exploration of Volumetric Datasets. SCSS (1) 2007: 422-427 - [c15]Jeff Orchard:
Globally Optimal Multimodal Rigid Registration: An Analytic Solution using Edge Information. ICIP (1) 2007: 485-488 - [c14]Jeff Orchard, Alexei Ramotar:
Autocorrecting Reconstruction for Flexible Ct Scanners. ISBI 2007: 804-807 - 2006
- [c13]Alexander Wong, Jeff Orchard:
Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images. IPCV 2006: 67-73 - [c12]Alexander Wong, William D. Bishop, Jeff Orchard:
Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps. IPCV 2006: 74-80 - [c11]Alexei Ramotar, Jeff Orchard:
General Geometry CT Reconstruction. IPCV 2006: 95-99 - [c10]Maja Omanovic, Jeff Orchard:
Efficient Multimodal Registration Using Least-Squares. IPCV 2006: 230-236 - 2005
- [c9]Jeff Orchard:
Efficient Global Weighted Least-Squares Translation Registration in the Frequency Domain. ICIAR 2005: 116-124 - [c8]Jeff Orchard:
Image Deformation Using Velocity Fields: An Exact Solution. ICIAR 2005: 439-446 - 2004
- [c7]Jeff Orchard, M. Stella Atkins:
Solving for Motion and Activation Simultaneously in an fMRI Experiment with Multiple Stimulus Conditions. ISBI 2004: 1000-1003 - [c6]Luis Freire, Jeff Orchard, Mark Jenkinson, Jean-François Mangin:
Reducing Activation-Related Bias in FMRI Registration. MIAR 2004: 278-285 - 2003
- [j1]Jeff Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, M. Stella Atkins:
Simultaneous Registration and Activation Detection for fMRI. IEEE Trans. Medical Imaging 22(11): 1427-1435 (2003) - [c5]Jeff Orchard, M. Stella Atkins:
Iterating Registration and Activation Detection to Overcome Activation Bias in fMRI Motion Estimates. MICCAI (2) 2003: 886-893 - [c4]Jeffery J. Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, M. Stella Atkins:
Overcoming activation-induced registration errors in fMRI. Image Processing 2003 - 2002
- [c3]M. Stella Atkins, Jeffery J. Orchard, Benjamin Law, Melanie K. Tory:
Robustness of the brain parenchymal fraction for measuring brain atrophy. Image Processing 2002 - [c2]M. Stella Atkins, Kevin Siu, Benjamin Law, Jeffery J. Orchard, Wilfred L. Rosenbaum:
Difficulties of T1 brain MRI segmentation techniques. Image Processing 2002 - 2001
- [c1]Jeff Orchard, Torsten Möller:
Accelerated Splatting using a 3D Adjacency Data Structure. Graphics Interface 2001: 191-200
Coauthor Index
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last updated on 2024-12-11 20:47 CET by the dblp team
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