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检索条件"机构=National Engineering Laboratory for Big Data Algorithms and Analytics Technology"
54 条 记 录,以下是21-30 订阅
排序:
Transfer and Alignment Network for Generalized Category Discovery
arXiv
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arXiv 2023年
作者: An, Wenbin Tian, Feng Shi, Wenkai Chen, Yan Wu, Yaqiang Wang, Qianying Chen, Ping School of Automation Science and Engineering Xi’an Jiaotong University China School of Computer Science and Technology Xi’an Jiaotong University China National Engineering Laboratory for Big Data Analytics China Lenovo Research China Department of Engineering University of Massachusetts Boston United States
Generalized Category Discovery (GCD) is a crucial real-world task that aims to recognize both known and novel categories from an unlabeled dataset by leveraging another labeled dataset with only known categories. Desp... 详细信息
来源: 评论
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-Supervised Action Localization by Hierarchically-stru...
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International Conference on Computer Vision (ICCV)
作者: Guiqin Wang Peng Zhao Cong Zhao Shusen Yang Jie Cheng Luziwei Leng Jianxing Liao Qinghai Guo School of Computer Science and Technology Xi’an Jiao Tong University School of Mathematics and Statistics Xi’an Jiao Tong University National Engineering Laboratory for Big Data Analytics Xi’an Jiao Tong University ACS Lab Huawei Technologies
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple instance learning(MIL), where the predicti...
来源: 评论
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text
arXiv
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arXiv 2023年
作者: Xu, Fangzhi Liu, Jun Lin, Qika Zhao, Tianzhe Zhang, Jian Zhang, Lingling School of Computer Science and Technology Xi’an Jiaotong University Xi’an China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. R&D National Engineering lab for Big Data Analytics Xi’an China
Logical reasoning task involves diverse types of complex reasoning over text, based on the form of multiple-choice question answering. Given the context, question and a set of options as the input, previous methods ac... 详细信息
来源: 评论
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning
arXiv
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arXiv 2022年
作者: Xu, Fangzhi Liu, Jun Lin, Qika Pan, Yudai Zhang, Lingling School of Computer Science and Technology Xi'an Jiaotong University Xi'an China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. R&d National Engineering Lab for Big Data Analytics Xi'an China
Machine reading comprehension has aroused wide concerns, since it explores the potential of model for text understanding. To further equip the machine with the reasoning capability, the challenging task of logical rea... 详细信息
来源: 评论
EFFICIENTLY PARAMETERIZED NEURAL METRIPLECTIC SYSTEMS
arXiv
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arXiv 2024年
作者: Gruber, Anthony Lee, Kookjin Lim, Haksoo Park, Noseong Trask, Nathaniel Center for Computing Research Sandia National Laboratories AlbuquerqueNM United States School of Computing and Augmented Intelligence Arizona State University TempeAZ United States Big Data Analytics Laboratory Yonsei University Seoul Korea Republic of Big Data Analytics Laboratory Korea Advanced Institute of Science and Technology Daejeon Korea Republic of School of Engineering and Applied Science University of Pennsylvania PhiladelphiaPA United States
Metriplectic systems are learned from data in a way that scales quadratically in both the size of the state and the rank of the metriplectic data. Besides being provably energy conserving and entropy stable, the propo...
来源: 评论
On privacy protection of latent dirichlet allocation model training
arXiv
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arXiv 2019年
作者: Zhao, Fangyuan Ren, Xuebin Yang, Shusen Yang, Xinyu School of Computer Science and Technology Xi'an Jiaotong University China National Engineering Laboratory for Big Data Analytics Xi'an Jiaotong University China Ministry of Education Key Lab For Intelligent Networks and Network Security Xi'an Jiaotong University China
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for discovery of hidden semantic architecture of text datasets, and plays a fundamental role in many machine learning applications. However, like... 详细信息
来源: 评论
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
arXiv
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arXiv 2023年
作者: Wang, Guiqin Zhao, Peng Zhao, Cong Yang, Shusen Cheng, Jie Leng, Luziwei Liao, Jianxing Guo, Qinghai School of Computer Science and Technology Xi’an Jiaotong University China ACS Lab Huawei Technologies China School of Mathematics and Statistics Xi’an Jiaotong University China National Engineering Laboratory for Big Data Analytics Xi’an Jiaotong University China
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple instance learning(MIL), where the predicti... 详细信息
来源: 评论
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
Meta Mask Correction for Nuclei Segmentation in Histopatholo...
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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
作者: Shi, Jiangbo Jia, Chang Gao, Zeyu Gong, Tieliang Wang, Chunbao Li, Chen Xi'An Jiao Tong University National Engineering Lab for Big Data Analytics Shaanxi Xi'an710049 China School of Computer Science and Technology Xi'An Jiao Tong University Shaanxi Xi'an710049 China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.RandD Xi'An Jiao Tong University Shaanxi Xi'an710049 China Department of Pathology The First Affiliated Hospital of xi'An Jiaotong University Shaanxi Xi'an710061 China
Nuclei segmentation is a fundamental task in digital pathology analysis and can be automated by deep learning-based methods. However, the development of such an automated method requires a large amount of data with pr... 详细信息
来源: 评论
PathoGraph: A Graph-Based Method for Standardized Representation of Pathology Knowledge
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Scientific data 2025年 第1期12卷 872页
作者: Peiliang Lou Yuxin Dong Caixia Ding Chunbao Wang Ruifeng Guo XiaoBo Pang Chen Wang Chen Li School of Computer Science and Technology Xi'an Jiaotong University Xi'an Shaanxi 710049 China. Division of Computational Biology Mayo Clinic Rochester MN USA. Department of Pathology Shaanxi Provincial Tumor Hospital Xi'an Jiaotong University 309 Yanta West Road Xi'an Shaanxi China. Department of Pathology The First Affiliated Hospital of Xi'an Jiaotong University 277 West Yanta Road Xi'an Shaanxi China. Division of Anatomic Pathology Department of Laboratory Medicine and Pathology Mayo Clinic Jacksonville Florida USA. Division of Computational Biology Mayo Clinic Rochester MN USA. wang.chen@mayo.edu. National Engineering Lab for Big Data Analytics Xi'an Jiaotong University Xi'an Shaanxi China. cli@***.
Pathology data, primarily consisting of slides and diagnostic reports, inherently contain knowledge that is pivotal for advancing data-driven biomedical research and clinical practice. However, the hidden and fragment...
来源: 评论
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problem
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 9253-9290页
作者: Peipei Tang Chengjing Wang Defeng Sun Kim-Chuan Toh School of Computer and Computing Science Zhejiang University City College Hangzhou China School of Mathematics and National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Hong Kong Department of Mathematics and Institute of Operations Research and Analytics National University of Singapore Singapore
In this paper, we consider high-dimensional nonconvex square-root-loss regression problems and introduce a proximal majorization-minimization (PMM) algorithm for solving these problems. Our key idea for making the pro... 详细信息
来源: 评论