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Found 34 Documents (Results 1–34)

Classification in the Siegel space for vectorial autoregressive data. (English) Zbl 1490.53021

Nielsen, Frank (ed.) et al., Geometric science of information. 5th international conference, GSI 2021, Paris, France, July 21–23, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12829, 693-700 (2021).
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Covariances in computer vision and machine learning. (English) Zbl 1380.68005

Synthesis Lectures on Computer Vision 13. San Rafael, CA: Morgan & Claypool Publishers (ISBN 978-1-68173-013-4/pbk; 978-1-68173-014-1/ebook). xiii, 156 p. (2018).
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Algorithmic advances in Riemannian geometry and applications. For machine learning, computer vision, statistics, and optimization. (English) Zbl 1357.53004

Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-319-45025-4/hbk; 978-3-319-45026-1/ebook). xiv, 208 p. (2016).
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Gromov-Hausdorff approximation of filament structure using Reeb-type graph (extended abstract). (English) Zbl 1395.68296

Proceedings of the 30th annual symposium on computational geometry, SoCG ’14, Kyoto, Japan, June 8–11, 2014. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-2594-3). 491-500 (2014).
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Geometry of learning in multilayer perceptrons. (English) Zbl 1139.62326

Antoch, Jaromir (ed.), COMPSTAT. Proceedings in computational statistics. 16th symposium, Prague, Czech Republic, August 23-27, 2004. With CD-ROM. Heidelberg: Physica-Verlag (ISBN 3-7908-1554-3/pbk). 49-60 (2004).
MSC:  62M45 68T05 53B99
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Information geometry and learning in formal neural networks. (English) Zbl 0878.68098

Nencka, Hanna (ed.) et al., Geometry and nature: in memory of W. K. Clifford. A conference on new trends in geometrical and topological methods, July 30–August 5, 1995, Madeira, Portugal. Providence, RI: American Mathematical Society. Contemp. Math. 203, 105-116 (1997).
Reviewer: S.M.Pokas (Odessa)
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Mathematical methods of neurocomputing. (English) Zbl 0821.92003

Barndorff-Nielsen, O. E. (ed.) et al., Networks and chaos: statistical and probabilistic aspects. Revised versions of papers given at the first European statistical seminar on chaos and neural networks, held at Sandbjerg/Aarhus University from 25 April to 7 May 1992. London: Chapman and Hall. Monogr. Stat. Appl. Probab. 50, 1-39 (1993).
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