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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：上海大学    第一署名单位    第一作者单位    通讯作者单位     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 Quaternion Grassmann average network for learning representation of histopathological image 期刊论文 PATTERN RECOGNITION, 2019, 卷号: 89, 页码: 67-76 作者:  Shi, Jun[1];  Zheng, Xiao[2];  Wu, Jinjie[3];  Gong, Bangming[4];  Zhang, Qi[5] 收藏  |  浏览/下载：21/0  |  提交时间：2019/04/22 Principal component analysis network (PCANet)  Quaternion algebra  Quaternion Grassmann averages network (QGANet)  Color histopathological image   Ultrasound Image Based Tumor Classification via Deep Polynomial Network and Multiple Kernel Learning 期刊论文 CURRENT MEDICAL IMAGING REVIEWS, 2018, 卷号: 14, 页码: 301-308 作者:  Shi, Jun[1];  Qian, Yiyi[2];  Wu, Jinjie[3];  Zhou, Shichong[4];  Cai, Yehua[5] 收藏  |  浏览/下载：3/0  |  提交时间：2019/04/22 Deep polynomial network  multiple kernel learning  ultrasound image  tumor diagnosis  prostate   Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2017, 卷号: 21, 页码: 1327-1337 作者:  Shi, Jun[1];  Wu, Jinjie[2];  Li, Yan[3];  Zhang, Qi[4];  Ying, Shihui[5] 收藏  |  浏览/下载：10/0  |  提交时间：2019/04/24 Color angular pattern  color histopathological image  color norm pattern  matrix-form classifier  PCANet  random binary hashing   Learning Representation for Histopathological Image with Quaternion Grassmann Average Network 会议论文 7th International Workshop on Machine Learning in Medical Imaging (MLMI), 2016-10-17 作者:  Wu, Jinjie[1];  Shi, Jun[2];  Ying, Shihui[3];  Zhang, Qi[4];  Li, Yan[5] 收藏  |  浏览/下载：2/0  |  提交时间：2019/04/26 Histopathological Image Classification Using Random Binary Hashing Based PCANet and Bilinear Classifier 会议论文 24th European Signal Processing Conference (EUSIPCO), 2016-08-28 作者:  Wu, Jinjie[1];  Shi, Jun[2];  Li, Yan[3] 收藏  |  浏览/下载：9/0  |  提交时间：2019/04/26 PCANet  Random Binary Hashing  Low Rank Bilinear Classifier  Histopathological Image