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Titlebook: Mathematical Methodologies in Pattern Recognition and Machine Learning; Contributions from t Pedro Latorre Carmona,J. Salvador Sánchez,Ana

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发表于 2025-3-21 17:25:52 | 显示全部楼层 |阅读模式
书目名称Mathematical Methodologies in Pattern Recognition and Machine Learning
副标题Contributions from t
编辑Pedro Latorre Carmona,J. Salvador Sánchez,Ana L.N.
视频video
概述Features applications of pattern recognition techniques to real-world problems with a focus on mathematical methodologies.Interdisciplinary research from leaders in the field.Contributions focus on cu
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Mathematical Methodologies in Pattern Recognition and Machine Learning; Contributions from t Pedro Latorre Carmona,J. Salvador Sánchez,Ana
描述.This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012. The conference provided a major point of collaboration between researchers, engineers and practitioners in the areas of Pattern Recognition, both from theoretical and applied perspectives, with a focus on mathematical methodologies. Contributions describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, and experimental and theoretical studies which yield new insights that provide key advances in the field. . .This book will be suitable for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists. .
出版日期Conference proceedings 2013
关键词Hierarchical Sparse Coding; ICPRAM 2012; Machine Learning; Pattern Recognition; Support Vector Machines
版次1
doihttps://doi.org/10.1007/978-1-4614-5076-4
isbn_softcover978-1-4939-0092-3
isbn_ebook978-1-4614-5076-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer Science+Business Media New York 2013
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2194-1009 able for scientists and researchers in optimization, numerical methods, computer science, statistics and for differential geometers and mathematical physicists. .978-1-4939-0092-3978-1-4614-5076-4Series ISSN 2194-1009 Series E-ISSN 2194-1017
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