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2020 – today
- 2024
[i9]Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li:
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. CoRR abs/2407.07958 (2024)- 2021
- [i8]Allen G. Hart, Kevin R. Olding, A. M. G. Cox, Olga Isupova, Jonathan H. P. Dawes:
Echo State Networks for Reinforcement Learning. CoRR abs/2102.06258 (2021) - [i7]Danil Kuzin, Olga Isupova
, Brooke D. Simmons, Steven Reece:
Disaster mapping from satellites: damage detection with crowdsourced point labels. CoRR abs/2111.03693 (2021) - 2020
- [j4]Remis Balaniuk, Olga Isupova, Steven Reece:
Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning. Sensors 20(23): 6936 (2020) - [i6]Remis Balaniuk, Olga Isupova, Steven Reece:
Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning. CoRR abs/2007.01076 (2020)
2010 – 2019
- 2019
- [c7]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Bayesian Neural Networks for Sparse Coding. ICASSP 2019: 2992-2996 - 2018
- [j3]Zhenglin Li, Lyudmila S. Mihaylova, Olga Isupova, Lucile Rossi:
Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model. IEEE Trans. Ind. Informatics 14(3): 1146-1154 (2018) - [j2]Olga Isupova, Danil Kuzin, Lyudmila Mihaylova:
Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3980-3993 (2018) - [j1]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors. IEEE Trans. Signal Process. 66(17): 4598-4611 (2018) - [c6]Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova:
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. FUSION 2018: 39-46 - [i5]Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova:
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. CoRR abs/1807.03369 (2018) - [i4]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors. CoRR abs/1807.05561 (2018) - [i3]Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J. Roberts, Katherine J. Willis, Steven Reece:
BCCNet: Bayesian classifier combination neural network. CoRR abs/1811.12258 (2018) - [i2]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Uncertainty propagation in neural networks for sparse coding. CoRR abs/1811.12465 (2018) - 2017
- [b1]Olga Isupova:
Machine learning methods for behaviour analysis and anomaly detection in video. University of Sheffield, UK, 2017 - [c5]Ruilong Chen, Matthew B. Hawes, Olga Isupova, Lyudmila Mihaylova, Hao Zhu:
Online vehicle logo recognition using Cauchy prior logistic regression. FUSION 2017: 1-8 - [i1]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences. CoRR abs/1705.00002 (2017) - 2016
- [c4]Olga Isupova, Danil Kuzin, Lyudmila Mihaylova:
Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video. FUSION 2016: 750-757 - [c3]Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, Lucile Rossi:
Autonomous flame detection in video based on saliency analysis and optical flow. MFI 2016: 218-223 - 2015
- [c2]Olga Isupova, Lyudmila Mihaylova, Danil Kuzin, Garik Markarian, François Septier:
An expectation maximisation algorithm for behaviour analysis in video. FUSION 2015: 126-133 - [c1]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Compressive sensing approaches for autonomous object detection in video sequences. SDF 2015: 1-6
Coauthor Index
aka: Lyudmila S. Mihaylova
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