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检索条件"机构=Key Laboratory of Machine Intelligence and Advanced Computing"
1550 条 记 录,以下是131-140 订阅
FS-PPS: A Fermat's Spiral based Path Planning Scheme for Data Collection in UWSNs  25
FS-PPS: A Fermat's Spiral based Path Planning Scheme for Dat...
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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022
作者: Wang, Ziheng Liu, Chunfeng Zhao, Zhao Yu, Tao Qu, Wenyu Tianjin University Tianjin Key Laboratory of Advanced Networking College of Intelligence and Computing China
In underwater wireless sensor networks (USWNs), autonomous underwater vehicle (AUV)-assisted data collection has received significant attention for its characteristics of low energy consumption and long network lifeti... 详细信息
来源: 评论
Semi-supervised dictionary learning with label propagation for image classification
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Computational Visual Media 2017年 第1期3卷 83-94页
作者: Lin Chen Meng Yang College of Computer Science and Software Engineering Shenzhen UniversityShenzhenChina School of Data and Computer Science Sun Yat-sen UniversityGuangzhouChina Key Laboratory of Machine Intelligence and Advanced Computing(Sun Yat-sen University) Ministry of EducationChina
Sparse coding and supervised dictionary learning have rapidly developed in recent years,and achieved impressive performance in image classification. However, there is usually a limited number of labeled training sampl... 详细信息
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Learning to Mitigate Extreme Distribution Bias for Few-Shot Object Detection
Learning to Mitigate Extreme Distribution Bias for Few-Shot ...
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2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Wu, Faming Hu, Yanxu Wang, Jinpeng Ma, Andy J. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Few-shot object detection is an important but challenging task where only a few instances of novel categories are available. The widely used approach is to pretrain a detector on base classes with abundant samples and... 详细信息
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Finding Emotional Focus for Emotion Recognition at Sentence Level
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电子学报(英文版) 2013年 第1期22卷 99-103页
作者: QUAN Changqin REN Fuji Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei 230009 China Faculty of Engineering The University of Tokushima Tokushima Japan
Emotion recognition at sentence level is one of the fundamental problems of textual emotion un- derstanding. Based on the observation that sentence emo- tional focus can be expressed by some clauses in this sen- tence... 详细信息
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Region-Interactive Proposal Network and Class-Interactive Feature Learning for Few-Shot Object Detection
Region-Interactive Proposal Network and Class-Interactive Fe...
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2022 IEEE International Conference on Multimedia and Expo, ICME 2022
作者: Hu, Yanxu Wu, Faming Wang, Jinpeng Ma, Andy J. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Few-shot object detection is a promising approach to solving the problem of detecting novel objects with only limited annotated data for training. Most existing methods are developed based on the progress in few-shot ... 详细信息
来源: 评论
IMPROVING WEAKLY SUPERVISED OBJECT LOCALIZATION BY UNCERTAINTY ESTIMATION OF PSEUDO SUPERVISION
IMPROVING WEAKLY SUPERVISED OBJECT LOCALIZATION BY UNCERTAIN...
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Chen, Xi Ma, Andy J. Guo, Nanxi Chen, Jiajia School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Pseudo bounding box supervision is a promising approach for weakly supervised object localization (WSOL) with only image-level labels. However, the generated pseudo bounding boxes may be inaccurate or even completely ... 详细信息
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Ensemble transductive learning for skin lesion segmentation  1
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2nd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019
作者: Cui, Zhiying Wu, Longshi Wang, Ruixuan Zheng, Wei-Shi School of Data and Computer Science Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing MOE Guangzhou China
Automated segmentation of skin lesions from dermoscopy images is helpful for the diagnosis and treatment of skin cancers. However, due to small annotated training set and the large visual difference in skins and lesio... 详细信息
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Point of interest recommendation with social and geographical influence  4
Point of interest recommendation with social and geographica...
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4th IEEE International Conference on Big Data, Big Data 2016
作者: Zhang, Da-Chuan Li, Mei Wang, Chang-Dong School of Data and Computer Science Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Point of interest (POI) recommendation, a service which can help people discover useful and interesting locations has emerged rapidly with the development of location-based social networks (LBSNs), like Foursquare, Go... 详细信息
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Development of a novel autonomous lower extremity exoskeleton robot for walking assistance
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Frontiers of Information Technology & Electronic Engineering 2019年 第3期20卷 318-329页
作者: Yong HE Nan LI Chao WANG Lin-qing XIA Xu YONG Xin-yu WU Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Department of Mechanical Engineering and Intelligent Systems the University of Electro-Communications
Today, exoskeletons are widely applied to provide walking assistance for patients with lower limb motor incapacity. Most existing exoskeletons are under-actuated, resulting in a series of problems, e.g., interference ... 详细信息
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Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data  38
Revealing Distribution Discrepancy by Sampling Transfer in U...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Zhao, Zhilin Cao, Longbing Fan, Xuhui Zheng, Wei-Shi School of Computing Macquarie University Australia School of Computer Science and Engineering Sun Yat-sen University China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
There are increasing cases where the class labels of test samples are unavailable, creating a significant need and challenge in measuring the discrepancy between training and test distributions. This distribution disc...
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