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Titlebook: Computational Collective Intelligence; 7th International Co Manuel Nú?ez,Ngoc Thanh Nguyen,Bogdan Trawiński Conference proceedings 2015 Spr

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樓主: hearken
41#
發(fā)表于 2025-3-28 15:32:59 | 只看該作者
42#
發(fā)表于 2025-3-28 20:48:57 | 只看該作者
Structured Leasing Transactions,le. The methods that can be used as a solution for these problems are frustum culling, occlusion culling and level of detail. The work describes implementation of the first of mentioned methods on the Android platform and it includes a comparison of results from different devices when displaying a complicated 3D scene.
43#
發(fā)表于 2025-3-29 00:40:55 | 只看該作者
Structured Leasing Transactions, table shots, anchor, reporter, statement, or interview shots, and finally the most informative report shots. The temporal aggregation results in grouping of shots into scenes of a given category. The paper examines the usefulness of the temporal aggregation method to select report shots and non-report shots in?a?news video.
44#
發(fā)表于 2025-3-29 06:20:30 | 只看該作者
Extending UML for Model Checkingnce and identify some problems regarding the diversity of solutions stored in the solution archive. A comparison with the state-of-the-art algorithm for the SOP shows that the PACO can be a very competitive tool.
45#
發(fā)表于 2025-3-29 09:39:47 | 只看該作者
46#
發(fā)表于 2025-3-29 14:36:50 | 只看該作者
47#
發(fā)表于 2025-3-29 16:43:55 | 只看該作者
Automatic Categorization of Shots in News Videos Based on the Temporal Relations table shots, anchor, reporter, statement, or interview shots, and finally the most informative report shots. The temporal aggregation results in grouping of shots into scenes of a given category. The paper examines the usefulness of the temporal aggregation method to select report shots and non-report shots in?a?news video.
48#
發(fā)表于 2025-3-29 19:47:20 | 只看該作者
49#
發(fā)表于 2025-3-30 03:47:29 | 只看該作者
Decomposition Based Multiobjective Hyper Heuristic with Differential Evolutionl Evolution mutation strategy) that should be applied by each agent during a MOEA/D execution. MOEA/D-HH. was tested in a well established set of 10 instances from the CEC 2009 MOEA Competition. MOEA/D-HH. was favourably compared with state-of-the-art multi-objective optimization algorithms.
50#
發(fā)表于 2025-3-30 05:39:14 | 只看該作者
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