Subspace, Latent Structure and Feature Selection
Publication year: 2006
ISBN: 978-3-540-34138-3
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The inspiration for this volume was a workshop held under the auspices of thePASCAL Network of Excellence. The aimof this preface is to provide an overview of the contributions to this volume,placing this research in its wider context.The aim of the workshop was to bring together researchers working on sub-space and latent variable techniques in different research communities in orderto create bridges and enable cross-fertilization of ideas.
Subject: Computer Science, 3D, Bayesian inference, STATISTICA, algorithm, algorithmic learning, algorithms, calculus, image reconstruction, learning, machine learning, optimisation methods, optimization, statistical analysis, statistical learning, statistical modeling
