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【簡體曬書區】 單本79折,5本7折,活動好評延長至5/31,趕緊把握這一波!

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原文書 (6)

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無庫存 (6)

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$800以上 (6)

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2018~2019 (1)
2016年以前 (5)

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平裝 (3)
精裝 (3)

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Branislav Kisacanin (EDT)/ Vladimir Pavlovic (EDT)/ Thomas S. Huang (EDT) (2)
Alan C. Bovik (EDT)/ Chang Wen Chen (EDT)/ Dmitry B. Goldgof (EDT)/ Thomas S. Huang (EDT) (1)
Teuvo Kohonen/ Thomas S. Huang (EDT)/ M. R. Schroeder (EDT) (1)
Xiang Sean Zhou/ Yong Rui/ Thomas S. Huang (1)
Zhangyang Wang/ Yun Fu/ Thomas S. Huang (1)

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Springer Verlag (3)
Academic Pr (1)
Kluwer Academic Pub (1)
World Scientific Pub Co Inc (1)

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6筆商品,1/1頁
Deep Learning Through Sparse and Low-rank Modeling

1.Deep Learning Through Sparse and Low-rank Modeling

作者:Zhangyang Wang; Yun Fu; Thomas S. Huang  出版社:Academic Pr  出版日:2019/04/12 裝訂:平裝
若需訂購本書,請電洽客服
02-25006600[分機130、131]。
Real-Time Vision for Human-Computer Interaction

2.Real-Time Vision for Human-Computer Interaction

作者:Branislav Kisacanin (EDT); Vladimir Pavlovic (EDT); Thomas S. Huang (EDT)  出版社:Springer Verlag  出版日:2005/07/01 裝訂:精裝
200Ts Vision of Vision One of my formative childhood experiences was in 1968 stepping into the Uptown Theater on Connecticut Avenue in Washington, DC, one of the few movie theaters nationwide that pro
若需訂購本書,請電洽客服
02-25006600[分機130、131]。
Real-Time Vision for Human-Computer Interaction

3.Real-Time Vision for Human-Computer Interaction

作者:Branislav Kisacanin (EDT); Vladimir Pavlovic (EDT); Thomas S. Huang (EDT)  出版社:Springer Verlag  出版日:2005/07/01 裝訂:平裝
The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue t
若需訂購本書,請電洽客服
02-25006600[分機130、131]。
Exploration of Visual Data

4.Exploration of Visual Data

作者:Xiang Sean Zhou; Yong Rui; Thomas S. Huang  出版社:Kluwer Academic Pub  出版日:2003/08/01 裝訂:精裝
Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level conce
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02-25006600[分機130、131]。
Self-Organizing Maps

5.Self-Organizing Maps

作者:Teuvo Kohonen; Thomas S. Huang (EDT); M. R. Schroeder (EDT)  出版社:Springer Verlag  出版日:2000/11/01 裝訂:平裝
The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the
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02-25006600[分機130、131]。
Advances in Image Processing and Understanding

6.Advances in Image Processing and Understanding

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02-25006600[分機130、131]。

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