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» Image processing and data analysis: The multiscale approach
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NIPS
2003
15 years 5 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
BMCBI
2007
215views more  BMCBI 2007»
15 years 4 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICIP
2001
IEEE
16 years 5 months ago
Analysis of cloudy structures evolution on meteorological satellite acquisitions
This paper concerns the characterization of clouds on meteorological satellite image sequences through points trajectories. These temporal curves can be computed from the result o...
Dominique Béréziat, Isabelle Herlin,...
ICIP
2006
IEEE
16 years 6 months ago
A Probabilistic Approach to Robust Shape Matching
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
Graham McNeill, Sethu Vijayakumar
BPM
2007
Springer
201views Business» more  BPM 2007»
15 years 10 months ago
Towards Formal Analysis of Artifact-Centric Business Process Models
Abstract. Business process (BP) modeling is a building block for design and management of business processes. Two fundamental aspects of BP modeling are: a formal framework that we...
Kamal Bhattacharya, Cagdas Evren Gerede, Richard H...