中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共17条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Characterizations of a Proposed 3300-V Press-Pack IGBT Module Using Nanosilver Paste for High-Voltage Applications 期刊论文
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2018, 卷号: 6, 期号: 4, 页码: 2245-2253
作者:  Feng, Jingjing;  Mei, Yunhui;  Li, Xianbin;  Lu, Guo-Quan
Adobe PDF(2834Kb)  |  收藏  |  浏览/下载：238/1  |  提交时间：2018/12/03
Electricity  Electronic Packaging  Joining Process  Nanoporous Materials  Thermal Resistance  
Shape-Preserving Object Depth Control for Stereoscopic Images 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 12, 页码: 3333-3344
作者:  Lei, Jianjun;  Peng, Bo;  Zhang, Changqing;  Mei, Xuguang;  Cao, Xiaochun;  Fan, Xiaoting;  Li, Xuelong
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载：184/0  |  提交时间：2018/12/28
Depth Control  Depth Mapping Model  Shape Preserving  Stereoscopic Image  Warping Technology  3-d Display  
Weakly Supervised Object Detection via Object-Specific Pixel Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 5960-5970
作者:  Shen, Yunhang;  Ji, Rongrong;  Wang, Changhu;  Li, Xi;  Li, Xuelong
Adobe PDF(4529Kb)  |  收藏  |  浏览/下载：201/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised  
Approximate Low-Rank Projection Learning for Feature Extraction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5228-5241
作者:  Fang, Xiaozhao;  Han, Na;  Wu, Jigang;  Xu, Yong;  Yang, Jian;  Wong, Wai Keung;  Li, Xuelong
Adobe PDF(2693Kb)  |  收藏  |  浏览/下载：218/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 11, 页码: 5248-5260
作者:  Lu, Yuwu;  Yuan, Chun;  Zhu, Wenwu;  Li, Xuelong
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：266/1  |  提交时间：2018/09/11
Nmf  Structurally Incoherent  Low-rank  Image Classification  
Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 11, 页码: 3080-3091
作者:  Xia, Yingjie;  Zhang, Luming;  Meng, Lei;  Yan, Yan;  Nie, Liqiang;  Li, Xuelong
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：167/2  |  提交时间：2018/11/09
Skin Disease Inference  Transfer Learning  
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 11, 页码: 3171-3183
作者:  Han, Junwei;  Chen, Hao;  Liu, Nian;  Yan, Chenggang;  Li, Xuelong
Adobe PDF(2454Kb)  |  收藏  |  浏览/下载：270/3  |  提交时间：2018/11/09
Convolutional Neural Networks (Cnns)  Crossview Transfer  Multiview Fusion  Rgb-d  Salient Object Detection  
Orthogonally Polarized RF Optical Single Sideband Generation and Dual-Channel Equalization Based on an Integrated Microring Resonator 期刊论文
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2018, 卷号: 36, 期号: 20, 页码: 4808-4818
作者:  Xu, Xingyuan;  Wu, Jiayang;  Tan, Mengxi;  Nguyen, Thach G.;  Chu, Sai Tak;  Little, Brent E.;  Morandotti, Roberto;  Mitchell, Arnan;  Moss, David J.
Adobe PDF(7424Kb)  |  收藏  |  浏览/下载：155/2  |  提交时间：2018/10/18
Micro-ring Resonators  Microwave Photonics  
Local Regression and Global Information-Embedded Dimension Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4882-4893
作者:  Yao, Chao;  Han, Junwei;  Nie, Feiping;  Xiao, Fu;  Li, Xuelong
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：200/1  |  提交时间：2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning  
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:  Han, Yina;  Yang, Yixin;  Li, Xuelong;  Liu, Qingyu;  Ma, Yuanliang
Adobe PDF(1836Kb)  |  收藏  |  浏览/下载：149/0  |  提交时间：2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)