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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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21#
發(fā)表于 2025-3-25 03:54:28 | 只看該作者
22#
發(fā)表于 2025-3-25 11:17:23 | 只看該作者
23#
發(fā)表于 2025-3-25 13:01:53 | 只看該作者
Linked Tucker2 Decomposition for Flexible Multi-block Data Analysiscompose given multiple tensors into common factor matrices, individual factor matrices, and core tensors, simultaneously. When we have a set of tensor data and want to estimate common components and/or individual characteristics of the data, this decomposition model is very useful. In order to devel
24#
發(fā)表于 2025-3-25 19:04:00 | 只看該作者
Celebrity Face Image Retrieval Using Multiple Featurescessing, such as hair-style design. In this paper, we propose a content-based face image retrieval system aiming at finding similar photos of celebrities to a user input image using a novel fusion of features and evaluation of results. After image preprocessing such as cropping facial parts and feat
25#
發(fā)表于 2025-3-25 20:09:25 | 只看該作者
A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoisingtive shrinkage threshold for image de-noising in shearlet domain is proposed. Experimental results show that images de-noised with the proposed approach had higher qualities than those produced with some of the other denoising methods like wavelet-based, bandlet-based, shearlet-based and curvelet-ba
26#
發(fā)表于 2025-3-26 03:33:57 | 只看該作者
Perception of Symmetry in Natural Imagesymmetric in terms of geometry, we proposed a quantification of the degree of symmetry (DoS) that is applicable for arbitrary contours in natural images. DoS showed an agreement with the perception of symmetry in judgment of symmetry axis. Multi-dimensional scaling, together with similarity tests amo
27#
發(fā)表于 2025-3-26 05:06:31 | 只看該作者
Image Denoising with Rectified Linear Unitsgmoid function has shown its limitations. In this paper, we adopt the rectified linear (ReL) function instead of the sigmoid function as the activation function of hidden layers to further enhance the ability of neural network on solving image denoising problem. Our experiment shows that by better c
28#
發(fā)表于 2025-3-26 10:36:49 | 只看該作者
29#
發(fā)表于 2025-3-26 16:36:51 | 只看該作者
Sheikh Md. Rabiul Islam,Xu Huang,Kim Lendependently 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
30#
發(fā)表于 2025-3-26 20:11:46 | 只看該作者
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