无思维能力 发表于 2025-3-28 15:57:12
http://reply.papertrans.cn/15/1492/149172/149172_41.png歌剧等 发表于 2025-3-28 18:57:14
https://doi.org/10.1007/978-1-4614-5517-2toencoder feature selection (RAFS). This method based on autoencoder uses the radial basis function to achieve mapping instead of the weight. We also consider penalty to give a powerful constraint on redundant features. In extensive experiments, our method shows its outperformance in fair comparisonLEERY 发表于 2025-3-29 00:57:28
http://reply.papertrans.cn/15/1492/149172/149172_43.png表两个 发表于 2025-3-29 04:35:03
Community-Based Reconstruction of Societying. Currently, in some cases, this problem is successfully solved by deep neural networks. However, deep models are computationally expensive and so hardly applicable for online learning tasks which require frequent updating of the model. This paper proposes the lightweight neural net architectureGossamer 发表于 2025-3-29 10:31:46
Community-Based Reconstruction of Society scores. The detection boxes with maximum score are always selected while all other boxes with a sufficient overlap with the preserved boxes are discarded. This strategy is simple and effective. However, there still need some improvements in this process because the algorithm makes a ‘hard’ decisionheterogeneous 发表于 2025-3-29 12:44:00
Linsheng Gu,Mingming Xiang,Yi Liestimation network for an unordered point cloud. Our approach utilizes EdgeConv layer as the basic element, where an attention embedding version EdgeConv layer is proposed for feature extraction in hand pose estimation task. To improve the result, we design a hand pose improvement network that input刺耳的声音 发表于 2025-3-29 16:54:03
Community-Based Reconstruction of Societys usually ignored in the high-level feature extraction by the deep learning, which is important for image semantic segmentation. To avoid this problem, we propose a graph model initialized by a fully convolutional network (FCN) named Graph-FCN for image semantic segmentation. Firstly, the image grid没有准备 发表于 2025-3-29 19:52:58
Advances in 21st Century Human SettlementsMany published works apply reinforcement learning or evolutionary algorithm to design the neural architecture for image classification and achieve state-of-the-art performance. However, using NAS to perform other challenging tasks, such as inpainting irregular regions in an image, has not been explo坚毅 发表于 2025-3-30 00:47:33
http://reply.papertrans.cn/15/1492/149172/149172_49.png凶残 发表于 2025-3-30 06:05:04
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