Zhixun Su – författare
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5 produkter
Image and Video Technology
9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings
Av Chilwoo Lee, Zhixun Su m. fl.
Häftad, 2019
569 kr
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This book constitutes the conference proceedings of the 9th Pacific Rim Symposium on Image and Video Technology, PSIVT 2019, held in Sydney, NSW, Australia, in November 2019.A total of 31 papers were carefully reviewed and selected from 55 submissions.The main conference comprises 11 major subject …
Image and Video Technology
9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings
Av Akihiro Sugimoto, Zhixun Su m. fl.
E-bok, 2019
713 kr
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This book constitutes the conference proceedings of the 9th Pacific Rim Symposium on Image and Video Technology, PSIVT 2019, held in Sydney, NSW, Australia, in November 2019. A total of 31 papers were carefully reviewed and selected from 55 submissions. The main conference comprises 11 major …
Mathematical Problems in Data Science
Theoretical and Practical Methods
Av Li M. Chen, Zhixun Su m. fl.
Inbunden, 2015
1355 kr
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This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various …
Mathematical Problems in Data Science
Theoretical and Practical Methods
E-bok, 2015
1838 kr
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This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various …
Mathematical Problems in Data Science
Theoretical and Practical Methods
Av Li M. Chen, Zhixun Su m. fl.
Häftad, 2019
1355 kr
Lägg i varukorg
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various …
