QQ客服 官方微博 反馈留言

浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：西安交通大学    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 Discriminative Representation Learning with Supervised Auto-encoder 期刊论文 Neural Processing Letters, 2018, 页码: 1-14 作者:  Du, Fang;  Zhang, Jiangshe;  Ji, Nannan;  Hu, Junying;  Zhang, Chunxia 收藏  |  浏览/下载：5/0  |  提交时间：2019/11/19 Auto encoders  Class information  Classification errors  Classification tasks  De-noising  Objective functions  Reconstruction error  Unsupervised learning method   An effective hierarchical extreme learning machine based multimodal fusion framework 期刊论文 Neurocomputing, 2018, 卷号: 322, 页码: 141-150 作者:  Du, Fang;  Zhang, Jiangshe;  Ji, Nannan;  Shi, Guang;  Zhang, Chunxia 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26 Classification performance  Extreme learning machine  Feature classification  Learning efficiency  Multi-modal fusion  Multi-modal learning  Proposed architectures  Single-hidden layer feedforward neural networks   A new regularized restricted Boltzmann machine based on class preserving 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 123, 页码: 1-12 作者:  Hu, Junying;  Zhang, Jiangshe;  Ji, Nannan;  Zhang, Chunxia 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Class preserving  Restricted Boltzmann machine  Feature learning   A modified version of Helmholtz machine by using a Restricted Boltzmann Machine to model the generative probability of the top layer 期刊论文 NEUROCOMPUTING, 2017, 卷号: 267, 页码: 1-17 作者:  Hu, Junying;  Zhang, Jiangshe;  Ji, Nannan;  Zhang, Chunxia 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26 Variational inference  Helmholtz machine  Restricted Boltzmann Machine  Artificial neural network   Enhancing performance of restricted Boltzmann machines via log-sum regularization 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2014, 卷号: 63, 期号: [db:dc_citation_issue], 页码: 82-96 作者:  Ji, Nannan;  Zhang, Jiangshe;  Zhang, Chunxia;  Yin, Qingyan 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/03 Deep belief network  Sparsity  Log-sum regularization  Restricted Boltzmann machine  Feature learning   Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations 期刊论文 PATTERN RECOGNITION LETTERS, 2014, 卷号: 45, 期号: [db:dc_citation_issue], 页码: 172-180 作者:  Ji, Nannan;  Zhang, Jiangshe;  Zhang, Chunxia;  Wang, Lei 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/03 Transformation invariance  Discriminative restricted Boltzmann machine  Invariant pattern recognition  Probabilistic max-pooling  Linear transformation