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检索条件"机构=Intelligent Recognition and Image Processing Lab"
47 条 记 录,以下是31-40 订阅
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NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM image processing
NiuEM: A Nested-iterative Unsupervised Learning Model for Si...
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2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
作者: Hu, Rui Cai, Jiaming Zheng, Wangjie Yang, Yang Shen, Hong-Bin Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Jiao Tong University Department of Bioinformatics and Biostatistics Shanghai200240 China
Cryo-electron microscopy (cryo-EM) has become a mainstream technology for solving spatial structures of biomacromolecules, while the processing of cryo-EM images is a very challenging task. One of the great challenges... 详细信息
来源: 评论
Isoform Function Prediction Based on Heterogeneous Graph Attention Networks
Isoform Function Prediction Based on Heterogeneous Graph Att...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Guo, Kuo Li, Yifan Chen, Hao Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Institute of Image Processing and Pattern Recognition Shanghai200240 China Carnegie Mellon University School of Computer Science Computational Biology Department PittsburghPA15213 United States
Isoforms refer to different mRNA molecules transcribed from the same gene, which can be translated into proteins with varying structures and functions. Predicting the functions of isoforms is an essential topic in bio... 详细信息
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SliceProp: A Slice-Wise Bidirectional Propagation Model for Interactive 3D Medical image Segmentation  1
SliceProp: A Slice-Wise Bidirectional Propagation Model for ...
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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023
作者: Xu, Xin Lu, Wenjing Lei, Jiahao Qiu, Peng Shen, Hong-Bin Yang, Yang Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Department of Vascular Surgery China Shanghai Jiao Tong University Institute of Image Processing and Pattern Recognition Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China
Interactive medical image segmentation methods have become increasingly popular in recent years. These methods combine manual labeling and automatic segmentation, reducing the workload of annotation while maintaining ... 详细信息
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pNovo+: De Novo Peptide Sequencing and Assembly Using Complementary HCD and ETD Tandem Mass Spectra
pNovo+: De Novo Peptide Sequencing and Assembly Using Comple...
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第八届中国蛋白质组学大会
作者: Hao Chi Haifeng Chen Kun He Long Wu Bing Yang Rui-Xiang Sun Jianyun Liu Wen-Feng Zeng Chun-Qing Song Si-Min He Meng-Qiu Dong Key Lab of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China National Institute of Biological SciencesBeijingBeijing 102206China Laboratory of Intelligent Recognition and Image ProcessingBeijing Key Laboratory of Digital MediaBeihang UniversityBeijing100191China
来源: 评论
Benchmarking asymmetric 3D-2D face recognition systems
Benchmarking asymmetric 3D-2D face recognition systems
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International Conference on Automatic Face and Gesture recognition
作者: Xi Zhao Wuming Zhang Georgios Evangelopoulos Di Huang Shishir K. Shah Yunhong Wang Ioannis A. Kakadiaris Liming Chen Computational Biomedicine Lab Department of Computer Science University of Houston Houston TX USA LIRIS Lab Ecole Centrale de Lyon France Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing China
Asymmetric 3D-2D face recognition (FR) aims to recognize individuals from 2D face images using textured 3D face models in the gallery (or vice versa). This new FR scenario has the potential to be readily deployable in... 详细信息
来源: 评论
Remote sensing image compression for deep space based on region of interest
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Journal of Harbin Institute of Technology(New Series) 2003年 第3期10卷 300-303页
作者: 王振华 吴伟仁 田玉龙 田金文 柳健 Institute for Pattern Recognition and Artificial Intelligence State Key Lab for Image Processing and Intelligent ControlHuazhong University of Science and Technology Wuhan 430074 China Institute for Pattern Recognition and Artificial Intelligence State Key Lab for Image Processing and Intelligent ControlHuazhong University of Science and Technology Wuhan 430074 China major limitation for deep space communication is the limited bandwidths available. The downlink rate using X-band with an L2 halo orbit is estimated to be of only 5.35 GB/d. However the Next Generation Space Telescope (NGST) will produce about 600 GB/d. Clearly the volume of data to downlink must be reduced by at least a factor of 100. One of the resolutions is to encode the data using very low bit rate image compression techniques. An very low bit rate image compression method based on region of interest(ROI) has been proposed for deep space image. The conventional image compression algorithms which encode the original data without any data analysis can maintain very good details and haven't high compression rate while the modern image compressions with semantic organization can have high compression rate even to be hundred and can't maintain too much details. The algorithms based on region of interest inheriting from the two previews algorithms have good semantic features and high fidelity and is therefore suitable for applications at a low bit rate. The proposed method extracts the region of interest by texture analysis after wavelet transform and gains optimal local quality with bit rate control. The Result shows that our method can maintain more details in ROI than general image compression algorithm(SPIHT) under the condition of sacrificing the quality of other uninterested areas
A major limitation for deep space communication is the limited bandwidths available. The downlinkrate using X-band with an L2 halo orbit is estimated to be of only 5.35 GB/d. However, the Next GenerationSpace Telescop... 详细信息
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An Active Landing Recovery Method for Quadrotor UAV: Localization, Tracking and Buffering Landing
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IFAC-PapersOnLine 2023年 第2期56卷 3366-3372页
作者: Yongkang Xu Zhihua Chen Shoukun Wang Junzheng Wang National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing CO 100081 P.R.China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology School of Information Engineering Nanchang Hangkong University Nanchang CO 330063 P.R. China
This paper proposes a principle of fully autonomous ground mobile landing recovery of Unmanned Aerial Vehicles (UAV) for the problems of relatively fixed landing point, passive recovery, poor flexibility, and environm... 详细信息
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A Combining Method for Tumors Detection from Near-infrared Breast Imaging
A Combining Method for Tumors Detection from Near-infrared B...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Zhicheng Wang Jian Liu Jinwen Tian Zeping Xie State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. & Tech. Wuhan 430074 China Key Lab. for Image Process. & Intelligent Control State Educ. Comm. School of Life Science & Technology Huazhong University of Science and Technology Wuhan China
This paper introduces the new qualitative and quantitative methods, which can diagnose breast tumors. Qualitative methods include blood vessel display inside and outside of pathological changes part of breast, display... 详细信息
来源: 评论
Binary pattern flavored feature extractors for Facial Expression recognition: An overview
Binary pattern flavored feature extractors for Facial Expres...
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Proceedings of the International Convention MIPRO
作者: Rasmus Lyngby Kristensen Zheng-Hua Tan Zhanyu Ma Jun Guo Section of Image Analysis and Computer Graphics Technical University of Denmark Kgs. Lyngby Denmark Signal and Information Processing section (SIP) Aalborg University Aalborg Denmark Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China
This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression recognition (FER) problem. In total, 26 different feature extractors are included, of which six are se... 详细信息
来源: 评论
Gait Planning and Motion Control Based on Vrep Simulation for Quadruped Robot
Gait Planning and Motion Control Based on Vrep Simulation fo...
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WRC Symposium on Advanced Robotics and Automation (WRC SARA)
作者: Linqi Zhou Zhihua Chen Jun Liu Zhi Liu Yumeng Chen Liting Zhang key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology Nanchang Hangkong University Nanchang China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China
Gait planning of quadruped robots plays an important role in achieving less walking, including dynamic and static gait. In this article, a static and dynamic gait control method based on center of gravity stability ma...
来源: 评论