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检索条件"机构=Image Processing and Image Communication Key Laboratory"
2921 条 记 录,以下是281-290 订阅
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Center matching scheme for K-means cluster ensembles
Center matching scheme for K-means cluster ensembles
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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition
作者: Zhang, Li Zhou, Weida Wu, Caili Huo, Jieting Zou, Haishuang Jiao, Licheng Institute of Intelligent Information Processing Key Laboratory of Intelligent Perception and Image Understanding Xidian University 710071 China
In this paper, a center matching scheme is proposed for constructing a consensus function in the k-means cluster ensemble learning. Each k-means clusterer outputs a sequence with k cluster centers. We randomly select ... 详细信息
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Layer-aware forward error correction for mobile broadcast of layered media
Layer-aware forward error correction for mobile broadcast of...
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作者: Hellge, Cornelius Gómez-Barquero, David Schierl, Thomas Wiegand, Thomas Multimedia Communications Group Image Processing Department Fraunhofer HHI 10587 Berlin Germany Image Communication Laboratory Berlin Institute of Technology 10623 Berlin Germany Universidad Politécnica de Valencia 46022 Valencia Spain Image Processing Department Fraunhofer HHI 10587 Berlin Germany
The bitstream structure of layered media formats such as scalable video coding (SVC) or multiview video coding (MVC) opens up new opportunities for their distribution in Mobile TV services. Features like graceful degr... 详细信息
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Joint Generic Learning and Multi-source Domain Adaptation on Unsupervised Face Recognition  1
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6th International Conference on Artificial Intelligence and Security,ICAIS 2020
作者: Xu, Zhi Han, Han Ji, Jianqiu Qiang, Baohua Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin541004 China
For most machine learning algorithms, the performance of model trained on the source domain degenerates obviously when it is applied to the target domain because the distributions of both domains are different. Beside... 详细信息
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A Novel Method to Get Super-Resolution images from Low-Resolution Compressed Video
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The Journal of China Universities of Posts and Telecommunications 2005年 第2期12卷 50-54页
作者: ZHOU Liang ZHU Xiu-chang Information Industry Ministry and Jiangsu Province Key Lab of Image Processing and Image Communication Nanjing University of Posts and Communications Nanjing 210003 P. R. China
In order to resolve the problems of discontented restoration effect and confined applying scope which exist in the current compressed video restoration algorithms, a novel method to get super-resolution images from lo... 详细信息
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Wideband and Replaceable Cylindrical Dielectric Resonator Antennas
Wideband and Replaceable Cylindrical Dielectric Resonator An...
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2020 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications, IMWS-AMP 2020
作者: Weng, Ling Peng Fang, Xiao Sheng Yan, Jing Shi, Kang Ping Guangdong Provincial Key Laboratory of Digital Signal and Image Processing Department of Electronic and Information Engineering Shantou China
A wideband and replaceable dielectric resonant antenna (DRA) excited by a probe is investigated. The proposed wideband DRA consists of a probe platform and a solid cylindrical dielectric resonator, and two magnets are... 详细信息
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Research summary of "Camellia oleifera fruit picking robot" technical analysis
Research summary of "Camellia oleifera fruit picking robot" ...
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2021 International Conference on Signal processing and communication Technology, SPCT 2021
作者: Wang, Liang Hou, Yifeng Wang, Kuikui Wei, Chunming Guangxi Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Wuzhou Guangxi543003 China
Aiming at the problems of my country's current camellia fruit picking mainly relying on manual picking, large labor and low efficiency, the development and promotion of camellia fruit picking equipment and technol... 详细信息
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Few-Shot Learning for image Classification  1
Few-Shot Learning for Image Classification
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1st IEEE International Conference on Data Intelligence and Innovative Application, DIIA 2024
作者: Chen, Peining Luo, Xiaonan Guilin University of Electronic Technology Guangxi Key Laboratory of Image and Graphic Intellig ent Processing Guilin China
In certain specialized domain scenarios, the collection of image data is rendered time-consuming and costly due to a variety of unique issues, making the assembly of extensive image datasets a challenging endeavor. Wh... 详细信息
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Pre-extracting boundary vectors for support vector machine using pseudo-density estimation method
Pre-extracting boundary vectors for support vector machine u...
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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition
作者: Zhang, Li Zhou, Weida Chen, Guirong Zhou, Hongjie Ye, Ning Jiao, Licheng Institute of Intelligent Information Processing Key Laboratory of Intelligent Perception and Image Understanding Xidian University 710071 China
Support vector machines (SVMs) have become useful and universal learning machines. SVMs construct a decision function by support vectors (SVs) and their corresponding weights. The training phase of SVMs definitely use... 详细信息
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Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts  24th
Depth and Width Adaption of DNN for Data Stream Classificati...
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24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023
作者: Zhou, XingZhi Liu, Xiang Wen, YiMin Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin541004 China
To handle data stream classification with concept drifts, recent studies have shown that a continuously evolving network structure can achieve better performance. However, firstly, they only change one hidden node at ... 详细信息
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GFENet: Enabling Attention and Adaptive Feature Fusion in Real-time Object Detection  2
GFENet: Enabling Attention and Adaptive Feature Fusion in Re...
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2nd International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2022
作者: Pan, Chaolin Zhu, Xiaoyang Chu, Jun Nanchang Hangkong University Department of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang China
Real-time object detection has been a critical component of onboard instrumentation for next-generation autonomous driving. To enable safety and reliability in autonomous driving systems, we must continue advancing it... 详细信息
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