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Manifold learning for multi-dimensional auto-regressive dynamical models
Manifold learning [2, 5, 28, 32, 36, 12] has become a popular topic in machine learning and computer vision in the last few years, as many objects of interests (like natural images, or sequences representing walking persons), in spite of their apparent high dimensionality, live in a non-linear space of usually limited dimension. Many unsupervised algorithms (e.g. locally linear embedding [27]) ...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1982
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.18.117