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Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati

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樓主: FAD
31#
發(fā)表于 2025-3-26 21:28:18 | 只看該作者
Yangwei Wu,Haohua Zhao,Liqing Zhangndependently developed modules should be cultivated, and will play an important tactical role, but should not be considered a strategic target, as should instead be that of identifying a core language (a few core languages, each) accompanied by several compatible sub-languages. The reason is that th
32#
發(fā)表于 2025-3-27 01:54:07 | 只看該作者
33#
發(fā)表于 2025-3-27 06:31:08 | 只看該作者
0302-9743 ion Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing resear
34#
發(fā)表于 2025-3-27 10:53:18 | 只看該作者
Unsupervised Segmentation Using Cluster Ensembleso achieve synergistic effects and ensure the accuracy of the segmentation. For this purpose, cluster ensemble methods are used to process the initial segmentation results and produce the final result. Our method achieves significantly better performance on the Berkeley Segmentation Database compared to state-of-the-art techniques.
35#
發(fā)表于 2025-3-27 15:56:18 | 只看該作者
Similar-Video Retrieval via Learned Exemplars and Time-Warped Alignment Levenshtein distance (L-distance) as its special case. This new measure, the M-distance, is applicable to both of global and local alignments for exemplars. Experimental results in view of precision-recall curves show creditable scores in the region of interest.
36#
發(fā)表于 2025-3-27 18:08:04 | 只看該作者
37#
發(fā)表于 2025-3-28 01:05:37 | 只看該作者
Celebrity Face Image Retrieval Using Multiple Featureslded features are then fused to a novel image representation to retrieve face images more effectively. A large number of experiments based on the dataset collected on the Internet demonstrate the good performance of our method in Mean Average Precision (MAP).
38#
發(fā)表于 2025-3-28 06:07:03 | 只看該作者
39#
發(fā)表于 2025-3-28 08:01:24 | 只看該作者
Conference proceedings 2014rnel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.
40#
發(fā)表于 2025-3-28 12:54:29 | 只看該作者
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