Jacqueline Christmas

Orcid: 0000-0002-8431-7595

According to our database1, Jacqueline Christmas authored at least 21 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Simulating spectral images of natural waters and submerged objects from a bird's-eye view.
Math. Comput. Simul., January, 2024

2022
Contactless automated lifting of latent fingerprints from difficult curved surfaces.
Signal Process. Image Commun., 2022

Sea state from ocean video with singular spectrum analysis and extended Kalman filter.
Signal Image Video Process., 2022

Non-stationary, online variational Bayesian learning, with circular variables.
Pattern Recognit., 2022

2021
Sea State Estimation from Uncalibrated, Monoscopic Video.
SN Comput. Sci., 2021

2020
Automating RTI: Automatic light direction detection and correcting non-uniform lighting for more accurate surface normals.
Comput. Vis. Image Underst., 2020

Remote Extraction of Latent Fingerprints (RELF).
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Random Sampling and Fourier Transform Estimation in Sea Waves Prediction.
Proceedings of the 6th International Conference on Event-Based Control, 2020

Reconsidering the Roman Workshop: using machine learning to examine the processes behind inscribed texts.
Proceedings of the 15th Annual International Conference of the Alliance of Digital Humanities Organizations, 2020

2018
Estimating Pixel to Metre Scale and Sea State from Remote Observations of the Ocean Surface.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Theoretical motion functions for video analysis, with a passive navigation example.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Predicting sea waves in the presence of pink noise.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Genetic C Programming with Probabilistic Evaluation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Bayesian Spectral Analysis With Student-t Noise.
IEEE Trans. Signal Process., 2014

Inexact Bayesian point pattern matching for linear transformations.
Pattern Recognit., 2014

2013
The effect of missing data on robust Bayesian spectral analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011
Robust spatio-temporal latent variable models.
PhD thesis, 2011

Robust Autoregression: Student-t Innovations Using Variational Bayes.
IEEE Trans. Signal Process., 2011

Ant colony optimisation to identify genetic variant association with type 2 diabetes.
Inf. Sci., 2011

2010
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method.
Proceedings of the International Joint Conference on Neural Networks, 2010


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