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检索条件"机构=Key Laboratory of Pattern Recognition and Intelligent System"
555 条 记 录,以下是341-350 订阅
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ProtDAT: A Unified Framework for Protein Sequence Design from Any Protein Text Description
arXiv
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arXiv 2024年
作者: Guo, Xiao-Yu Li, Yi-Fan Liu, Yuan Pan, Xiaoyong Shen, Hong-Bin 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
Protein design has become a critical method in advancing significant potential for various applications such as drug development and enzyme engineering. However, protein design methods utilizing large language models ...
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Optimized hidden markov model based on constrained particle swarm optimization
arXiv
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arXiv 2018年
作者: Chang, Liu Ouzrout, Yacine Nongaillard, Antoine Bouras, Abdelaziz Jiliu, Zhou DISP Laboratory University Lumiere of Lyon 2 France Key Laboratory of Pattern Recognition and Intelligent Information Processing in Sichuan China College of Information Science and Technology Chengdu University Chengdu China
As one of Bayesian analysis tools, Hidden Markov Model (HMM) has been used to in extensive applications. Most HMMs are solved by Baum-Welch algorithm (BWHMM) to predict the model parameters, which is difficult to find... 详细信息
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Effect of molecular alignment and orientation on elliptically polarized high-order harmonic generation
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Physical Review A 2024年 第4期109卷 043118-043118页
作者: Ru Zhang Feng Wang Hua Yuan Shiju Chen Chunhui Yang Tianxin Ou Jiahang Song Qing Liao Peixiang Lu Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan 430205 China School of Physics and Optoelectronic Engineering Shandong University of Technology Zibo 255049 China Guangdong Intelligent Robotics Institute Dongguan 523808 China
We present a theoretical investigation of the influence of molecular alignment and orientation on elliptically polarized high-order harmonic generation (HHG) from CO molecules exposed to a linearly polarized pulse. Th... 详细信息
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Towards multimodal response generation with exemplar augmentation and curriculum optimization
arXiv
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arXiv 2020年
作者: Lei, Zeyang Li, Zekang Zhang, Jinchao Meng, Fandong Feng, Yang Yang, Yujiu Niu, Cheng Zhou, Jie Tsinghua University China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Pattern Recognition Center WeChat AI Tencent Inc China
Recently, variational auto-encoder (VAE) based approaches have made impressive progress on improving the diversity of generated responses. However, these methods usually suffer the cost of decreased relevance accompan... 详细信息
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DAmageNet: A universal adversarial dataset
arXiv
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arXiv 2019年
作者: Chen, Sizhe Huang, Xiaolin He, Zhengbao Sun, Chengjin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing 800 Dongchuan Road Shanghai200240 China
It is now well known that deep neural networks (DNNs) are vulnerable to adversarial attack. Adversarial samples are similar to the clean ones, but are able to cheat the attacked DNN to produce incorrect predictions in... 详细信息
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Detection Level of Apple Based on BP Neural Network
Detection Level of Apple Based on BP Neural Network
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International Conference on Information Sciences,Machinery,Materials and Energy(ICISMME 2015)
作者: Xiaoling LI Jimin YUAN School of Computer Science and Technology Chengdu University University Key Laboratory of Pattern Recognition and Intelligent information Processing The Department Computer Engineering Chengdu Aeronautic Vocational and Technical College
In view of the draw backs of apple grade identification in China,which still relies on photoelectric sorting and manual separation,this paper presents a processing method on the basis of the technology of computer vis... 详细信息
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QT-based monitoring system of multi-functional laboratory
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Research Journal of Applied Sciences, Engineering and Technology 2012年 第21期4卷 4480-4483页
作者: Xiaoling, Li Jimin, Yuan School of Computer Science and Technology Chengdu University Chengdu 610106 China Key University Key Laboratory of Pattern Recognition and Intelligent information Processing Sichuan Province China School of Computer Science and Technology Panzhihua University Panzhihua 617000 China
Regarding the embedded processor as the core, this study utilizes various cutting-edge technologies such as wireless LAN, USB interface, Bluetooth, multimedia, etc., to propose the design program of QT-based security ... 详细信息
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A novel feature extracting method for dynamic gesture recognition based on support vector machine
A novel feature extracting method for dynamic gesture recogn...
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International Conference on Information and Automation (ICIA)
作者: Yuanrong Xu Qianqian Wang Xiao Bai Yen-Lun Chen Xinyu Wu Shenzhen Key Lab for Computer Vision and Pattern Recognition Chinese Academy of Sciences University of Science and Technology of China Dept. Mechanical and Automation Engineering The Chinese University of Hong Kong Guangdong Provincial Key Laboratory of Robotics and Intelligent System Chinese Academy of Sciences
In this paper, we propose a method based on the SVM algorithm to recognize dynamic hand gestures. The information of motion trajectory is captured by a leap motion in three-dimension space. A new methodology of featur... 详细信息
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A Multi Modal Content-Based Copy Detection Approach
A Multi Modal Content-Based Copy Detection Approach
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International Conference on Computational Intelligence and Security
作者: Siyuan Wu Zhicheng Zhao Multimedia Communication and Pattern Recognition Labs Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications Beijing China
As an alternative to the watermarking approach, content-based copy detection (CBCD) recently has become a promising technique for video monitoring and copyright protection. In this paper, a novel CBCD framework is pro... 详细信息
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Unifying Gradients to Improve Real-World Robustness for Deep Networks
arXiv
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arXiv 2022年
作者: Wu, Yingwen Chen, Sizhe Fang, Kun Huang, Xiaolin Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China Institute of Image Processing and Pattern Recognition The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University 800 Dongchuan Road Shanghai China
The wide application of deep neural networks (DNNs) demands an increasing amount of attention to their real-world robustness, i.e., whether a DNN resists black-box adversarial attacks, among which score-based query at... 详细信息
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