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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2017    学科主题：computer science, artificial intelligence     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease 期刊论文 ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 7, 页码: 1508-1519 作者:  Nie, Liqiang;  Zhang, Luming;  Meng, Lei;  Song, Xuemeng;  Chang, Xiaojun 收藏  |  浏览/下载：26/0  |  提交时间：2017/07/17 Disease progression modeling  future health prediction  multisource analysis  source consistency  temporal regularization   Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection 期刊论文 ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 6, 页码: 1263-1275 作者:  Zhu, Xiaofeng;  Li, Xuelong;  Zhang, Shichao;  Ju, Chunhua;  Wu, Xindong 收藏  |  浏览/下载：54/0  |  提交时间：2017/06/14 Dimensionality reduction  manifold learning  regression  sparse coding   Coarse-to-Fine Learning for Single-Image Super-Resolution 期刊论文 ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 5, 页码: 1109-1122 作者:  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie 收藏  |  浏览/下载：48/0  |  提交时间：2017/06/14 Correlative neighbor regression (CNR)  nonlocal means  regularization term  self-similarity  single-image super-resolution (SR)   Orthogonal self-guided similarity preserving projection for classification and clustering 期刊论文 neural networks, 2017, 卷号: 88, 页码: 1-8 作者:  Fang, Xiaozhao;  Xu, Yong;  Li, Xuelong;  Lai, Zhihui;  Teng, Shaohua 收藏  |  浏览/下载：43/0  |  提交时间：2017/05/26 Dimensionality reduction  Intrinsic structure  Subspace clustering  Feature representation   Adaptive synchronization of delayed reaction-diffusion neural networks with unknown non-identical time-varying coupling strengths 期刊论文 neurocomputing, 2017, 卷号: 219, 页码: 144-153 作者:  Li, Junmin;  He, Chao;  Zhang, Weiyuan;  Chen, Minglai 收藏  |  浏览/下载：20/0  |  提交时间：2017/01/22 Nonidentical time-varying coupling strengths  Adaptive  Reaction-diffusion neural networks (RDNNs)  Asymptotic synchronization  Lyapunov-Krasovskii-like composite energy functional (CEF)