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浏览/检索结果: 共3条，第1-3条 帮助 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 A Novel Gaussian-Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction 期刊论文 NEURAL PROCESSING LETTERS, 2019, 卷号: 49, 期号: 1, 页码: 305-319 作者:  Li, Ziqiang;  Cai, Xun;  Liu, Yun;  Zhu, Bo 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/11 Deep learning  Feature extraction  Gaussian-Bernoulli based  convolutional restricted Boltzmann machines  Gaussian-Bernoulli based  convolutional deep brief network  Image classification   A Novel Gaussian–Bernoulli Based Convolutional Deep Belief Networks for Image Feature Extraction 期刊论文 Neural Processing Letters, 2018, 页码: 1-15 作者:  Li Z.;  Cai X.;  Liu Y.;  Zhu B. 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/11 Deep learning  Feature extraction  Gaussian–Bernoulli based convolutional deep brief network  Gaussian–Bernoulli based convolutional restricted Boltzmann machines  Image classification   Combining Deep Learning with Rough Set Analysis: A Model of Cyberspace Situational Awareness 会议论文 IEEE 6th International Conference on Electronics Information and Emergency Communication (ICEIEC), JUN 17-19, 2016 作者:  Li, Xueyu;  Li, Xiaocheng;  Zhao, Zhenhua 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 cyberspace situational awareness  feature extraction  deep learning  Gaussian-Bernoulli Deep Belief Network  situation assessment  rough set  analysis