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ESANN
2007
13 years 5 months ago
Visualisation of tree-structured data through generative probabilistic modelling
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Nikolaos Gianniotis, Peter Tino
APVIS
2004
13 years 5 months ago
Inhomogeneous Force-Directed Layout Algorithms in the Visualisation Pipeline: From Layouts to Visualisations
The visualisation pipeline approach is a flexible and extensible technique for generating visualisations. The basic pipeline functions involve the capture and representation of da...
Neville Churcher, Warwick Irwin, Carl Cook
IJCAI
2007
13 years 5 months ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis
FGR
2011
IEEE
213views Biometrics» more  FGR 2011»
12 years 7 months ago
Visualisation and prediction of conversation interest through mined social signals
— This paper introduces a novel approach to social behaviour recognition governed by the exchange of non-verbal cues between people. We conduct experiments to try and deduce dist...
Dumebi Okwechime, Eng-Jon Ong, Andrew Gilbert, Ric...
ICML
2007
IEEE
14 years 5 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore