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Personal profile

Research interests

I apply machine learning to a wide selection of problems, particularly those involving computer visions and graphics. I have a strong interests in graphical models, Bayesian non-parametric models, directional statistics and active learning.

I am currently especially interested in projects involving tools to help artists, machine learning for education, online/realtime machine learning, causality, and scaling non-parametric methods to big data.

External positions

Director, 3Dami

Jul 2012 → …

Fingerprint Dive into the research topics where Tom Fincham Haines is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Textures Engineering & Materials Science
Pixels Engineering & Materials Science
shading Earth & Environmental Sciences
Statistics Engineering & Materials Science
Classifiers Engineering & Materials Science
Light sources Engineering & Materials Science
Tuning Engineering & Materials Science
Detectors Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2022

Research Output 2007 2018

7 Citations (Scopus)
27 Downloads (Pure)

Dirichlet Process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations

Pozzo, W. D., Berry, C. P. L., Ghosh, A., Haines, T. S. F. & Vecchio, A., 1 Sep 2018, In : Monthly Notices of the Royal Astronomical Society. 479, 1, p. 601-614 14 p.

Research output: Contribution to journalArticle

Open Access
binary stars
gravitational waves
neutron stars
LIGO (observatory)
2 Citations (Scopus)
115 Downloads (Pure)

Texture Stationarization: Turning Photos into Tileable Textures

Moritz, J., James, S., Fincham Haines, T., Ritschel, T. & Weyrich, T., 2017, p. 177-188. 12 p.

Research output: Contribution to conferencePaper

Open Access
Computer graphics
11 Citations (Scopus)
101 Downloads (Pure)

My Text in Your Handwriting

Haines, T. S. F., Mac Aodha, O. & Brostow, G. J., 30 Jun 2016, In : ACM Transactions on Graphics. 35, 3, p. 1-19 19 p., 26.

Research output: Contribution to journalArticle

Open Access
11 Citations (Scopus)
98 Downloads (Pure)

Active rare class discovery and classification using Dirichlet processes

Haines, T. S. F. & Xiang, T., 1 Feb 2014, In : International Journal of Computer Vision. 106, 3, p. 315-331 18 p.

Research output: Contribution to journalArticle

Open Access
Computer vision
Problem-Based Learning
103 Citations (Scopus)
109 Downloads (Pure)

Background Subtraction with Dirichlet Process Mixture Models

Fincham Haines, T. & Xiang, T., 5 Dec 2013, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 4, p. 670-683 14 p.

Research output: Contribution to journalArticle

Open Access
Background Subtraction
Dirichlet Process
Mixture Model
Process Model