CASIA OpenIR

浏览/检索结果: 共58条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Multimodal Emotion Recognition with Transfer Learning of Deep Neural Network 期刊论文
ZTE Communications, 2017, 卷号: 15, 期号: S2, 页码: 1673-5188
作者:  Huang, Jian;  Li, Ya;  Tao, Jianhua;  Yi, Jianyan
浏览  |  Adobe PDF(828Kb)  |  收藏  |  浏览/下载:194/56  |  提交时间:2020/06/20
deep neutral network  ensemble method  multimodal emotion recognition  transfer learning  
Predicting Individualized Clinical Measures by a Generalized Prediction Framework and Multimodal Fusion of MRI Data 期刊论文
NEUROIMAGE, 2017, 期号: 145, 页码: 218-229
作者:  Meng, Xing;  Jiang, Rongtao;  Lin, Dongdong;  Bustillo, Juan;  Jones, Thomas;  Chen, Jiayu;  Yu, Qingbao;  Du, Yuhui;  Zhang, Yu;  Jiang, Tianzi;  Sui, Jing;  Calhoun, Vince D.
浏览  |  Adobe PDF(1031Kb)  |  收藏  |  浏览/下载:286/100  |  提交时间:2020/06/15
Individualized prediction  Multimodal  MATRICS Consensus Cognitive Battery (MCCB)  Schizophrenia  MRI  Neuromarker  
Automatic recognition system of welding seam type based on SVM method 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 卷号: 92, 期号: 1-4, 页码: 989-999
作者:  Fan JF(范俊峰);  Jing FS(景奉水);  Fang ZJ(方灶军);  Tan M(谭民)
浏览  |  Adobe PDF(2124Kb)  |  收藏  |  浏览/下载:316/84  |  提交时间:2019/04/27
Welding Seam Type Recognition  Structured-light Vision  Svm Method  Feature Extraction  
Discriminative Multimodal Embedding for Event Classication 期刊论文
Journal of Nerual Computing, 2017, 卷号: Volume, 期号: Issue, 页码: pp
作者:  Qi,Fan;  Yang,Xiaoshan;  Zhang,Tianzhu;  Xu,Changsheng
浏览  |  Adobe PDF(4696Kb)  |  收藏  |  浏览/下载:320/98  |  提交时间:2018/10/10
Event Classi cation  Multimodal Embedding  
Noncontact capacitive sensing-based locomotion transition recognition for amputees with robotic transtibial prostheses 期刊论文
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 期号: 2, 页码: 161-170
作者:  Zheng, Enhao;  Wang, Qining
浏览  |  Adobe PDF(1648Kb)  |  收藏  |  浏览/下载:278/87  |  提交时间:2018/10/09
Capacitive Sensing  Locomotion Transition Recognition  Robotic Prosthesis  Transtibial Amputees  
Semantic labeling of high-resolution aerial images using an ensemble of fully convolutional networks 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11, 期号: 4, 页码: 042617 1-18
作者:  Sun, Xiaofeng;  Shen, Shuhan;  Lin, Xiangguo;  Hu, Zhanyi
浏览  |  Adobe PDF(6923Kb)  |  收藏  |  浏览/下载:434/98  |  提交时间:2018/10/09
Semantic Labeling  Fully Convolutional Network  Aerial Images  Convolutional Neural Network  Ensemble Learning  
High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 8, 页码: 1-26
作者:  Sun, Xiaofeng;  Lin, Xiangguo;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(18038Kb)  |  收藏  |  浏览/下载:343/60  |  提交时间:2018/03/03
Semantic Labeling  Random Forest  Conditional Random Field  Differential Morphological Profile  Ensemble Learning  
LG-CNN: From local parts to global discrimination for fine-grained recognition 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 期号: 71, 页码: 118-131
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yang, Wenhan;  Xu, Mingliang;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2717Kb)  |  收藏  |  浏览/下载:685/274  |  提交时间:2018/01/16
Fine-grained Recognition  Convolutional Neural Networks  Bilinear Pooling  Local Parts  Global Discrimination  
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 42, 期号: 42, 页码: 288-299
作者:  Ye, Chuyang
浏览  |  Adobe PDF(3514Kb)  |  收藏  |  浏览/下载:336/111  |  提交时间:2018/01/12
Diffusion Mri  Tissue Microstructure  Noddi  Sparse Reconstruction  Deep Network  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载:567/223  |  提交时间:2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis