Aharon Bar-Hillel

Orcid: 0000-0002-7303-0687

According to our database1, Aharon Bar-Hillel authored at least 51 papers between 2003 and 2024.

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Bibliography

2024
Deep Convolutional Tables: Deep Learning Without Convolutions.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A CNN-based framework for estimation of root length, diameter, and color from in situ minirhizotron images.
Comput. Electron. Agric., 2024

2023
Medical concept embedding of real-valued electronic health records with application to inflammatory bowel disease.
Artif. Intell. Medicine, November, 2023

SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

2022
Sparse Hierarchical Table Ensemble-A Deep Learning Alternative for Tabular Data.
IEEE Access, 2022

2021
Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network.
Remote. Sens., 2021

Object detection in agricultural contexts: A multiple resolution benchmark and comparison to human.
Comput. Electron. Agric., 2021

2020
Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata.
CoRR, 2020

Length phenotyping with interest point detection.
Comput. Electron. Agric., 2020

Detection in Agricultural Contexts: Are We Close to Human Level?
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Inference Graphs for CNN Interpretation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Phenotyping Problems of Parts-per-Object Count.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Information Constrained Control Analysis of Eye Gaze Distribution Under Workload.
IEEE Trans. Hum. Mach. Syst., 2019

Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images.
Proceedings of the International Conference on Robotics and Automation, 2019

Information Constrained Control for Visual Detection of Important Areas.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images.
CoRR, 2018

Input-Dependably Feature-Map Pruning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Leaf counting: Multiple scale regression and detection using deep CNNs.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Toward Realistic Hands Gesture Interface: Keeping it Simple for Developers and Machines.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Convolutional Tables Ensemble: classification in microseconds.
CoRR, 2016

2015
Real-time tracking-with-detection for coping with viewpoint change.
Mach. Vis. Appl., 2015

Locally Orderless Tracking.
Int. J. Comput. Vis., 2015

Cognitive workload and vocabulary sparseness: theory and practice.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
Recent progress in road and lane detection: a survey.
Mach. Vis. Appl., 2014

Extended Lucas-Kanade Tracking.
Proceedings of the Computer Vision - ECCV 2014, 2014

Discriminative Ferns Ensemble for Hand Pose Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Effective Model Representation by Information Bottleneck Principle.
IEEE Trans. Speech Audio Process., 2013

Fast Multiple-Part Based Object Detection Using KD-Ferns.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Real-time pedestrian detection with deformable part models.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Off-vehicle evaluation of camera-based pedestrian detection.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011
Fusing visual and range imaging for object class recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Part-Based Feature Synthesis for Human Detection.
Proceedings of the Computer Vision, 2010

2009
Efficient Human Computation
CoRR, 2009

Efficient human computation: the distributed labeling problem.
Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

2008
Efficient Learning of Relational Object Class Models.
Int. J. Comput. Vis., 2008

2007
Workstation capacity tuning using reinforcement learning.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

Learning distance function by coding similarity.
Proceedings of the Machine Learning, 2007

2006
Learning from weak representations using distance functions and generative models (למידה מיצוגים חלשים באמצעות פונקציות מרחק ומודלים גנרטיביים.).
PhD thesis, 2006

Subordinate class recognition using relational object models.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning a kernel function for classification with small training samples.
Proceedings of the Machine Learning, 2006

2005
Learning a Mahalanobis Metric from Equivalence Constraints.
J. Mach. Learn. Res., 2005

Efficient Learning of Relational Object Class Models.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Object Class Recognition by Boosting a Part-Based Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Spike Sorting: Bayesian Clustering of Non-Stationary Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Boosting margin based distance functions for clustering.
Proceedings of the Machine Learning, 2004

Learning Distance Functions for Image Retrieval.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Computing Gaussian Mixture Models with EM Using Equivalence Constraints.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning Distance Functions using Equivalence Relations.
Proceedings of the Machine Learning, 2003

Enhancing Image and Video Retrieval: Learning via Equivalence Constraint.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Learning with Equivalence Constraints and the Relation to Multiclass Learning.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003


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