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Fusing Attention Network based on Dilated Convolution for Super Resolution 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022
作者:  Song, Zhaoyang;  Zhao, Xiaoqiang;  Hui, Yongyong;  Jiang, Hongmei
收藏  |  浏览/下载：9/0  |  提交时间：2022/07/20
Cascading classifier with discriminative multi-features for a specific 3D object real-time detection 期刊论文
VISUAL COMPUTER, 2019, 卷号: 35, 页码: 399-414
作者:  Wang, Rui;  Liang, Ying;  Xu, Jing Wen;  He, Zhi Hai
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30
DEEP HYBRID NETWORKS BASED RESPONSE SELECTION FOR MULTI-TURN DIALOGUE SYSTEMS 会议论文
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019-01-01
作者:  Li, Xishuo;  Zhang, Lijun;  Rong, Wenge;  Li, Baiwen;  Qi, Li
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30
Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening 期刊论文
REMOTE SENSING, 2017
Yang, Xiucheng; Zhao, Shanshan; Qin, Xuebin; Zhao, Na; Liang, Ligang
收藏  |  浏览/下载：10/0  |  提交时间：2017/12/03
Poster: Combating multipaths to enable RFID sensing in practical environments 会议论文
作者:  Wang, Ge;  Qian, Chen;  Han, Jinsong;  Cai, Haofan
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26
基于视觉注意机制的感兴趣目标的检测研究 学位论文
2014, 2014
陈云彪
收藏  |  浏览/下载：6/0  |  提交时间：2016/01/12
基于多特征的中文关键词抽取方法 期刊论文
2013
黄轩; 李伟
收藏  |  浏览/下载：1/0  |  提交时间：2016/05/17
Exploring Useful Features for Biomedical Event Trigger Detection 期刊论文
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2013, 卷号: 20, 页码: 557-570
作者:  Wang, Jian;  Xu, Qian;  Lin, Hongfei;  Yang, Zhihao;  Li, Yanpeng
收藏  |  浏览/下载：12/0  |  提交时间：2019/12/11
A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文
2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China
He B.; Ming Z.; Wei Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation  gray  noise and viewpoint change conditions  has an ideal match results  is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly  experiments show that the two features exclusive  then applied them to image registration for the first time. A set of actual images have shown  this proposed method not only overcomes the complicated background  gray uneven distribution problems  but also pan and zoom the image has a good resistance. 2011 IEEE.  

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