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检索条件"机构=School of Computer Science and Technology Key Lab of Big Data Mining and Knowledge Management"
213 条 记 录,以下是121-130 订阅
排序:
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
arXiv
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arXiv 2024年
作者: Cheng, Lei Huang, Xiaowen Sang, Jitao Yu, Jian The School of Computer Science and Technology Beijing Jiaotong University China The Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University China The Key Laboratory of Big Data & Artificial Intelligence in Transportation Beijing Jiaotong University Ministry of Education China
Recently, recommender system has achieved significant success. However, due to the openness of recommender systems, they remain vulnerable to malicious attacks. Additionally, natural noise in training data and issues ... 详细信息
来源: 评论
Overview of Essential Components in deep learning reference-based super resolution methods
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Procedia computer science 2024年 242卷 1243-1248页
作者: Jiayu Xue Junjie Liu Yong Shi School of Computer Science and Technology University of Chinese Academy of Sciences Beijing 101408 China Research Center on Fictitious Economy & Data Science Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China Sino-Danish College University of Chinese Academy of Sciences Beijing 100049 China School of Economics and Management University of Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 USA
Reference-based super resolution (RefSR) aims to recover the lost details in a low-resolution image and generate a high-resolution result, guided by a high-resolution reference image with similar contents or textures.... 详细信息
来源: 评论
Active Learning with Nonparallel Support Vector Machine for Binary Classification
Active Learning with Nonparallel Support Vector Machine for ...
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IEEE International Conference on data mining Workshops (ICDM Workshops)
作者: Xi Zhao Zhensong Chen Yong Shi School of Computer Science and Technology Beijing Institute of Technology Beijing China University of Chinese Academy of Sciences Beijing China Key Res. Lab. on Big Data Min. & Knowledge Manage. Beijing China
labeled data, in real world, is quite scarce compared with unlabeled data. Manual annotation is usually expensive and inefficient. Active learning paradigm is used to handle this problem by identifying the most inform... 详细信息
来源: 评论
Large-scale Nonparallel Support Vector Ordinal Regression Solver
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Procedia computer science 2017年 108卷 1261-1270页
作者: Huadong Wang Jianyu Miao Seyed Mojtaba Hosseini Bamakan Lingfeng Niu Yong Shi Research Center on Fictitious Economy & Data Science Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68118 USA
Large-scale linear classification is widely used in many areas. Although SVM-based models for ordinal regression problem are proven to be powerful techniques, the performance with nonlinear kernels are often suffering... 详细信息
来源: 评论
General Two-Stage Network Systems Based on Stackelberg Game
SSRN
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SSRN 2023年
作者: Zhang, Linyan Zhang, Jian Guo, Chuanyin School of Economics and Management Beijing Information Science & Technology University Beijing100192 China Research Center for Knowledge Management Beijing100192 China Beijing Key Lab of Green Development Decision Based on Big Data Beijing100192 China
Noncooperative approach is a key technique for modeling network systems. In general, there are two types of noncooperative network models in the literature. One is the bilevel model based on Stackelberg game, which is... 详细信息
来源: 评论
GPTR: Gestalt-Perception Transformer for Diagram Object Detection
arXiv
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arXiv 2022年
作者: Hu, Xin Zhang, Lingling Liu, Jun Fan, Jinfu You, Yang Wu, Yaqiang Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering School of Computer Science and Technology Xi’an Jiaotong University China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University China Department of Control Science and Engineering Tongji University Shanghai China Department of Computer Science National University of Singapore Singapore Lenovo Research Beijing China
Diagram object detection is the key basis of practical applications such as textbook question answering. Because the diagram mainly consists of simple lines and color blocks, its visual features are sparser than those... 详细信息
来源: 评论
Contourlet and nearest feature line based feature extraction approach for one prototype sample problem
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Journal of Information Hiding and Multimedia Signal Processing 2016年 第5期7卷 1052-1059页
作者: Pan, Jeng-Shyang Yan, Lijun Chu, Shu-Chuan Roddick, John F. Fujian University of International Studies and Trade Fujian Province China Fujian Provincial Key Lab of Big Data Mining and Applications Fujian University of Technology China Shenzhen Institute of Information Technology Shenzhen China School of Computer Science Engineering and Mathematics Flinders University Australia
In this paper, a novel algorithm for face recognition with one sample per person is proposed. The proposed algorithm is based on contourlet transformation. For simple prototype sample problem, many discriminant learni... 详细信息
来源: 评论
LadRa-Net: Locally-aware dynamic re-read attention net for sentence semantic matching
arXiv
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arXiv 2021年
作者: Zhang, Kun Lv, Guangyi Wu, Le Chen, Enhong Liu, Qi Wang, Meng Key Laboratory of Knowledge Engineering with Big Data School of Computer and Information Hefei University of Technology Anhui Hefei230029 China AI Lab at Lenovo Research Beijing100094 China University of Science and Technology of China Hefei230026 China
Sentence semantic matching requires an agent to determine the semantic relation between two sentences, which is widely used in various natural language tasks, such as Natural Language Inference (NLI), Paraphrase Ident... 详细信息
来源: 评论
A Brief Survey of Distribution Robust Graph Neural Networks
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Procedia computer science 2024年 242卷 1281-1286页
作者: Lei Zheng Pei Quan Yong Shi Lingfeng Niu The School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100190 China Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences Beijing 100190 China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing 100190 China The College of Economics and Management Beijing University of Technology Beijing 100124 China The School of Economics and Management University of Chinese Academy of Sciences Beijing 1001090 China
Graph neural network is a powerful tool for solving various graph tasks, such as node classification and graph classification. However, there is increasing evidence suggesting that it is sensitive to distribution shif... 详细信息
来源: 评论
Towards Unified Token Learning for Vision-Language Tracking
arXiv
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arXiv 2023年
作者: Zheng, Yaozong Zhong, Bineng Liang, Qihua Li, Guorong Ji, Rongrong Li, Xianxian The Key Laboratory of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin541004 China The Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China The School of Computer Science and Technology Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences Beijing100049 China Media Analytics and Computing Lab Department of Artificial Intelligence School of Informatics Xiamen University 361005 China
In this paper, we present a simple, flexible and effective vision-language (VL) tracking pipeline, termed MMTrack, which casts VL tracking as a token generation task. Traditional paradigms address VL tracking task ind... 详细信息
来源: 评论