| 書(shū)目名稱 | Structural, Syntactic, and Statistical Pattern Recognition | | 副標(biāo)題 | Joint IAPR Internati | | 編輯 | Antonio Robles-Kelly,Marco Loog,Richard Wilson | | 視頻video | http://file.papertrans.cn/881/880090/880090.mp4 | | 概述 | Includes supplementary material: | | 叢書(shū)名稱 | Lecture Notes in Computer Science | | 圖書(shū)封面 |  | | 描述 | .This book constitutes the proceedings of the Joint IAPR International Workshop on Structural?Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.?. | | 出版日期 | Conference proceedings 2016 | | 關(guān)鍵詞 | complex networks; machine learning; optimization; semantic segmentation; visualization; artificial intell | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-49055-7 | | isbn_softcover | 978-3-319-49054-0 | | isbn_ebook | 978-3-319-49055-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2016 |
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