Anthony N. Lasenby

Orcid: 0000-0002-8208-6332

According to our database1, Anthony N. Lasenby authored at least 17 papers between 1996 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation.
CoRR, 2022

2020
Compromise-free Bayesian neural networks.
CoRR, 2020

2019
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation.
Stat. Comput., 2019

Ray-Tracing Objects and Novel Surface Representations in CGA.
Proceedings of the Advances in Computer Graphics, 2019

2013
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy.
CoRR, 2013

Neural Networks for Astronomical Data Analysis and Bayesian Inference.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011
Rigid Body Dynamics and Conformal Geometric Algebra.
Proceedings of the Guide to Geometric Algebra in Practice., 2011

Rigid Body Dynamics in a Constant Curvature Space and the '1D-up' Approach to Conformal Geometric Algebra.
Proceedings of the Guide to Geometric Algebra in Practice., 2011

2008
Optimal Filters on the Sphere.
IEEE Trans. Signal Process., 2008

2007
Fast Directional Continuous Spherical Wavelet Transform Algorithms.
IEEE Trans. Signal Process., 2007

2006
A directional continuous wavelet transform on the sphere.
CoRR, 2006

2004
Recent Applications of Conformal Geometric Algebra.
Proceedings of the Computer Algebra and Geometric Algebra with Applications, 2004

2002
Conformal Geometry, Euclidean Space and Geometric Algebra
CoRR, 2002

2000
Surface Evolution and Representation using Geometric Algebra.
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, 2000

1998
New Geometric Methods for Computer Vision: An Application to Structure and Motion Estimation.
Int. J. Comput. Vis., 1998

1996
A new methodology for computing invariants in computer vision.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

A new framework for the formation of invariants and multiple-view constraints in computer vision.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996


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