no code implementations • 5 Nov 2021 • Danil Kuzin, Olga Isupova, Brooke D. Simmons, Steven Reece
High-resolution satellite imagery available immediately after disaster events is crucial for response planning as it facilitates broad situational awareness of critical infrastructure status such as building damage, flooding, and obstructions to access routes.
no code implementations • 29 Nov 2018 • Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J. Roberts, Katherine Willis, Steven Reece
Machine learning research for developing countries can demonstrate clear sustainable impact by delivering actionable and timely information to in-country government organisations (GOs) and NGOs in response to their critical information requirements.
no code implementations • 29 Nov 2018 • Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
A novel method to propagate uncertainty through the soft-thresholding nonlinearity is proposed in this paper.
no code implementations • 15 Jul 2018 • Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
This paper introduces a new sparse spatio-temporal structured Gaussian process regression framework for online and offline Bayesian inference.
no code implementations • 9 Jul 2018 • Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova
The ensemble Kalman filter reduces the computational complexity required to obtain predictions with Gaussian processes preserving the accuracy level of these predictions.
no code implementations • 27 Apr 2017 • Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
Video analytics requires operating with large amounts of data.
no code implementations • 27 Apr 2017 • Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
In this paper a new Bayesian model for sparse linear regression with a spatio-temporal structure is proposed.
no code implementations • 2 Nov 2016 • Olga Isupova, Danil Kuzin, Lyudmila Mihaylova
Semi-supervised and unsupervised systems provide operators with invaluable support and can tremendously reduce the operators load.
no code implementations • 27 Jun 2016 • Olga Isupova, Danil Kuzin, Lyudmila Mihaylova
A novel dynamic Bayesian nonparametric topic model for anomaly detection in video is proposed in this paper.
1 code implementation • 27 Jun 2016 • Olga Isupova, Danil Kuzin, Lyudmila Mihaylova
The proposed method is compared with the method based on the non- dynamic Hierarchical Dirichlet Process, for which we also derive the online Gibbs sampler and the abnormality measure.