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Jacqueline Christmas
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Books and Theses
- 2011
- [b1]Jacqueline Christmas:
Robust spatio-temporal latent variable models. University of Exeter, UK, 2011
Journal Articles
- 2024
- [j10]Andrew Corbett, Jacqueline Christmas
, Christopher R. Lawrence, Joseph Feenan:
Simulating spectral images of natural waters and submerged objects from a bird's-eye view. Math. Comput. Simul. 215: 184-207 (2024) - 2022
- [j9]Jacqueline Christmas
:
Non-stationary, online variational Bayesian learning, with circular variables. Pattern Recognit. 122: 108340 (2022) - [j8]Antonis Loizou
, Jacqueline Christmas
:
Sea state from ocean video with singular spectrum analysis and extended Kalman filter. Signal Image Video Process. 16(6): 1497-1504 (2022) - [j7]Matthew McGuigan
, Jacqueline Christmas
:
Contactless automated lifting of latent fingerprints from difficult curved surfaces. Signal Process. Image Commun. 109: 116858 (2022) - 2021
- [j6]Antonis Loizou
, Jacqueline Christmas
:
Sea State Estimation from Uncalibrated, Monoscopic Video. SN Comput. Sci. 2(4): 328 (2021) - 2020
- [j5]Matthew McGuigan
, Jacqueline Christmas
:
Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals. Comput. Vis. Image Underst. 192: 102880 (2020) - 2014
- [j4]Jacqueline Christmas
, Richard M. Everson
, James Bell
, C. Peter Winlove:
Inexact Bayesian point pattern matching for linear transformations. Pattern Recognit. 47(10): 3265-3275 (2014) - [j3]Jacqueline Christmas
:
Bayesian Spectral Analysis With Student-t Noise. IEEE Trans. Signal Process. 62(11): 2871-2878 (2014) - 2011
- [j2]Jacqueline Christmas
, Edward C. Keedwell, Timothy M. Frayling, John R. B. Perry:
Ant colony optimisation to identify genetic variant association with type 2 diabetes. Inf. Sci. 181(9): 1609-1622 (2011) - [j1]Jacqueline Christmas
, Richard M. Everson
:
Robust Autoregression: Student-t Innovations Using Variational Bayes. IEEE Trans. Signal Process. 59(1): 48-57 (2011)
Conference and Workshop Papers
- 2020
- [c10]Charlotte Tupman, Jacqueline Christmas, Dmitry Kangin:
Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts. DH 2020 - [c9]Mustafa Al-Ani, Michael R. Belmont, Jacqueline Christmas
, Andrzej Tarczynski
, Bashar I. Ahmad:
On Random Sampling and Fourier Transform Estimation in Sea Waves Prediction. EBCCSP 2020: 1-4 - [c8]Matthew McGuigan
, Jacqueline Christmas
:
Remote Extraction of Latent Fingerprints (RELF). IJCNN 2020: 1-8 - 2018
- [c7]Antonis Loizou, Jacqueline Christmas
:
Estimating Pixel to Metre Scale and Sea State from Remote Observations of the Ocean Surface. IGARSS 2018: 3513-3516 - 2016
- [c6]Jacqueline Christmas
:
Predicting sea waves in the presence of pink noise. CEC 2016: 2321-2328 - [c5]Jacqueline Christmas
:
Theoretical motion functions for video analysis, with a passive navigation example. IJCNN 2016: 4001-4008 - 2015
- [c4]Jacqueline Christmas
:
Genetic C Programming with Probabilistic Evaluation. GECCO (Companion) 2015: 1371-1372 - 2013
- [c3]Jacqueline Christmas
, Richard M. Everson
, Rolando Rodriguez-Munoz, Tom Tregenza
:
Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring. IJCNN 2013: 1-8 - [c2]Jacqueline Christmas
:
The effect of missing data on robust Bayesian spectral analysis. MLSP 2013: 1-6 - 2010
- [c1]Jacqueline Christmas
, Richard M. Everson
:
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. IJCNN 2010: 1-8
Coauthor Index
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