Research

These are some projects I am working or have worked on:

• Articulatory inversion (the recovery of the vocal tract shape that produces a given speech signal), and other inversion problems such as inverse kinematics of a robot arm, recovery of facial features given speech acoustics, etc.
• Mean-shift algorithms for clustering and image segmentation.
• Articulated pose tracking: recovering the 3D pose of a person from monocular video, using the Laplacian Eigenmaps Latent Variable Model.
• Non-rigid image registration with generalised elastic nets and other probabilistic models.
• Spectral clustering and manifold learning, with applications to computer vision, biomedical data, etc.
• Markov-chain Monte Carlo methods for estimating Markov random fields, in particular contrastive divergence learning.
• Image labelling with multiscale conditional random fields.
• Mode-finding in Gaussian mixtures: how many modes can a Gaussian mixture have?
• Continuous latent variable models for dimensionality reduction and missing data reconstruction, with applications to speech recognition and inverse problems: see my PhD thesis page.
• Generalised elastic nets: mathematical analysis, simulation and application of generalized elastic nets to cortical maps in primary visual cortex.
• Dimensionality reduction of EPG data: electropalatography is a technique to record linguopalatal contact during continuous speech.
• Ear biometrics: as part of my MSc thesis (1995), I created a database of ear images.

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