Timothy Hospedales

Postdoctoral

Queen Mary University of London

I am a post-doc researcher with the vision group at QMUL. Currently i'm working with the SAMURAI EU FP7 project. Prior to this, I worked with Sethu Vijayakumar in the Statistical Machine Learning and Motor Control group and Edinburgh's IPAB and ANC institutes. My background spans informatics & neuroscience (PhD Neuroinformatics, Edinburgh, 2008; MSc Neuroinformatics, Edinburgh 2004), machine learning (MSc Informatics, Edinburgh, 2003) and computer science (BA Computer Science, University of Cambridge, 2002). My academic interests include Bayesian probabilistic modelling and machine learning: applied variously to computer vision, behaviour profiling, robotics, sensory integration, motion-capture, novel human-computer interfaces and theoretical neuroscience.

Machine Learning |

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posted by tmh Feb 15 2011

	Learning Tags from Unsegmented Videos of Multiple Human Actions
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	Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
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	Learning Rare Behaviours
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	Multisensory Oddity Detection as Bayesian Inference
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	Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity
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	A Markov Clustering Topic Model for Mining Behaviour in Video
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Timothy Hospedales

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