一再困扰 发表于 2025-3-23 09:46:38

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暂停,间歇 发表于 2025-3-23 15:53:54

Conclusion and Future Work,ditional approaches on large-scale visual data understanding problems. We will see great potential of proposed algorithms in the end of the brief. We will also point out possible directions of researches in the near future.

最初 发表于 2025-3-23 21:04:10

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钩针织物 发表于 2025-3-24 00:48:26

https://doi.org/10.1007/978-0-387-68121-4efficiently provide robust performance. In this chapter, we will firstly review the weakness of existing approaches and then propose a systematic machine-learning approach, Expert Decision Fusion (EDF) to obtain robust classification performance.

ADORN 发表于 2025-3-24 03:02:12

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多节 发表于 2025-3-24 06:34:17

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Compass 发表于 2025-3-24 14:31:07

https://doi.org/10.1007/978-0-387-68121-4ditional approaches on large-scale visual data understanding problems. We will see great potential of proposed algorithms in the end of the brief. We will also point out possible directions of researches in the near future.

干涉 发表于 2025-3-24 16:52:20

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解冻 发表于 2025-3-24 22:10:53

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说明 发表于 2025-3-24 23:45:14

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查看完整版本: Titlebook: Big Visual Data Analysis; Scene Classification Chen Chen,Yuzhuo Ren,C.-C. Jay Kuo Book 2016 The Author(s) 2016 Big Visual Data Analysis.Sce