咨询与建议

限定检索结果

文献类型

  • 3,534 篇 会议
  • 2,549 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 6,084 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 4,100 篇 工学
    • 2,830 篇 计算机科学与技术...
    • 2,301 篇 软件工程
    • 1,050 篇 信息与通信工程
    • 515 篇 电气工程
    • 472 篇 生物工程
    • 468 篇 控制科学与工程
    • 458 篇 电子科学与技术(可...
    • 383 篇 光学工程
    • 298 篇 生物医学工程(可授...
    • 284 篇 机械工程
    • 256 篇 化学工程与技术
    • 202 篇 仪器科学与技术
    • 137 篇 动力工程及工程热...
    • 137 篇 网络空间安全
    • 134 篇 材料科学与工程(可...
    • 110 篇 建筑学
    • 106 篇 交通运输工程
  • 2,210 篇 理学
    • 1,192 篇 数学
    • 661 篇 物理学
    • 525 篇 生物学
    • 363 篇 统计学(可授理学、...
    • 270 篇 化学
    • 166 篇 系统科学
  • 1,065 篇 管理学
    • 567 篇 图书情报与档案管...
    • 538 篇 管理科学与工程(可...
    • 191 篇 工商管理
  • 249 篇 医学
    • 211 篇 临床医学
    • 186 篇 基础医学(可授医学...
    • 117 篇 药学(可授医学、理...
  • 148 篇 法学
    • 117 篇 社会学
  • 81 篇 教育学
  • 76 篇 农学
  • 51 篇 经济学
  • 21 篇 军事学
  • 18 篇 文学
  • 11 篇 艺术学
  • 5 篇 哲学

主题

  • 262 篇 feature extracti...
  • 234 篇 semantics
  • 164 篇 training
  • 131 篇 accuracy
  • 121 篇 computational mo...
  • 111 篇 deep learning
  • 105 篇 convolution
  • 87 篇 data mining
  • 84 篇 image segmentati...
  • 78 篇 object detection
  • 78 篇 data models
  • 76 篇 visualization
  • 70 篇 contrastive lear...
  • 70 篇 robustness
  • 70 篇 convolutional ne...
  • 66 篇 optimization
  • 64 篇 predictive model...
  • 63 篇 neural networks
  • 61 篇 federated learni...
  • 59 篇 face recognition

机构

  • 210 篇 shandong provinc...
  • 192 篇 key laboratory o...
  • 187 篇 hubei province k...
  • 143 篇 key laboratory o...
  • 141 篇 school of comput...
  • 141 篇 school of inform...
  • 116 篇 college of compu...
  • 104 篇 provincial key l...
  • 99 篇 fujian provincia...
  • 85 篇 shandong provinc...
  • 76 篇 national key lab...
  • 74 篇 university of ch...
  • 73 篇 peng cheng labor...
  • 71 篇 shandong provinc...
  • 63 篇 school of comput...
  • 62 篇 hubei province k...
  • 62 篇 shanghai key lab...
  • 60 篇 shanghai key lab...
  • 52 篇 fujian provincia...
  • 52 篇 school of comput...

作者

  • 64 篇 li zuoyong
  • 56 篇 huang qingming
  • 52 篇 zhaohui li
  • 51 篇 li zhaohui
  • 46 篇 li chenglong
  • 44 篇 zhang fuquan
  • 34 篇 tang jin
  • 33 篇 li wei
  • 32 篇 fan li
  • 32 篇 shen linlin
  • 31 篇 guo di
  • 31 篇 wang wei
  • 30 篇 zuoyong li
  • 30 篇 boxin shi
  • 29 篇 feng rui
  • 28 篇 yang zhiyong
  • 27 篇 wang xiao
  • 25 篇 liu yang
  • 25 篇 gao guanglai
  • 25 篇 li fan

语言

  • 5,516 篇 英文
  • 432 篇 其他
  • 145 篇 中文
  • 1 篇 德文
  • 1 篇 法文
检索条件"机构=The Provincial Key Laboratory for Computer Information Processing Technology"
6084 条 记 录,以下是4431-4440 订阅
排序:
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns  11
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervis...
收藏 引用
11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Xiu, Yuhuan Lan, Man Wu, Yuanbin Department of Computer Science and Technology East China Normal University Shanghai China Shanghai Key Laboratory of Multidimensional Information Processing China
This paper describes our submissions to task 7 in SemEval 2017, i.e., Detection and Interpretation of English Puns. We participated in the first two subtasks, which are to detect and locate English puns respectively. ... 详细信息
来源: 评论
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity  11
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Tradition...
收藏 引用
11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Tian, Junfeng Zhou, Zhiheng Lan, Man Wu, Yuanbin Department of Computer Science and Technology East China Normal University Shanghai China Shanghai Key Laboratory of Multidimensional Information Processing China
To model semantic similarity for multilingual and cross-lingual sentence pairs, we first translate foreign languages into English, and then build an efficient monolingual English system with multiple NLP features. Our... 详细信息
来源: 评论
Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map
Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map
收藏 引用
International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)
作者: Yan-Ru Zhong Hua-Yi Liu Xi-Yan Sun Ru-Shi Lan Xiao-Nan Luo School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China School of Information and Communication Guilin University of Electronic Technology Guilin China Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin China
In this paper, a new image encryption algorithm is proposed by integrating Sine and piecewise linear chaotic maps. In order to realize the effect of encrypted image, the security key and 2D Sine-piecewise linear chaot... 详细信息
来源: 评论
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification  11
ECNU at SemEval-2017 Task 4: Evaluating Effective Features o...
收藏 引用
11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Zhou, Yunxiao Lan, Man Wu, Yuanbin Department of Computer Science and Technology East China Normal University Shanghai China Shanghai Key Laboratory of Multidimensional Information Processing China
This paper reports our submission to subtask A of task 4 (Sentiment Analysis in Twitter, SAT) in SemEval 2017, i.e., Message Polarity Classification. We investigated several traditional Natural Language processing (NL... 详细信息
来源: 评论
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task  11
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Lear...
收藏 引用
11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Wu, Guoshun Sheng, Yixuan Lan, Man Wu, Yuanbin Department of Computer Science and Technology East China Normal University Shanghai China Shanghai Key Laboratory of Multidimensional Information Processing China
This paper describes the systems we submitted to the task 3 (Community Question Answering) in SemEval 2017 which contains three subtasks on english corpora, i.e., subtask A: Question-Comment Similarity, subtask B: Que... 详细信息
来源: 评论
Corundum production quality prediction based on support vector regression  12
Corundum production quality prediction based on support vect...
收藏 引用
12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
作者: Ju, Li Zhou, Ju Zhang, Xiaolong Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan430065 China
Aiming at the problem that the production process of corundum refractory is complex and the product quality cannot be predicted effectively, a quality forecasting model based on support vector regression is proposed i... 详细信息
来源: 评论
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models  11
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effecti...
收藏 引用
11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
作者: Wang, Feixiang Lan, Man Wu, Yuanbin Department of Computer Science and Technology East China Normal University Shanghai China Shanghai Key Laboratory of Multidimensional Information Processing China
This paper describes our submissions to task 8 in SemEval 2017, i.e., Determining rumour veracity and support for rumours. Given a rumoured tweet and a plethora of replied tweets, subtask A is to label whether these t... 详细信息
来源: 评论
Research on Multi-Model of computer Organization for System Capability
Research on Multi-Model of Computer Organization for System ...
收藏 引用
2018 3rd International Conference on Education,Sports,Arts and Management Engineering(ICESAME 2018)
作者: Li HUANG Wei HU Kai ZHANG Jianhua LU College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology National Computer Experimental Teaching Demonstration Center (Wuhan University of Science and Technology)
This paper studies the lack of systematic, teaching content and the obsolete teaching mode of the principle of computer composition in most colleges and universities in China. Proposed system-oriented teaching methods... 详细信息
来源: 评论
PaDNet: Pan-density crowd counting
arXiv
收藏 引用
arXiv 2018年
作者: Tian, Yukun Lei, Yiming Zhang, Junping Wang, James Z. Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China College of Information Sciences and Technology Pennsylvania State University University ParkPA16802 United States
The problem of counting crowds in varying density scenes or in different density regions of the same scene, named as pan-density crowd counting, is highly challenging. Previous methods are designed for single density ... 详细信息
来源: 评论
A Novel Experience-Based Exploration Method for Q-Learning
A Novel Experience-Based Exploration Method for Q-Learning
收藏 引用
2018国际计算机前沿大会(原国际青年计算机大会)
作者: Bohong Yang Hong Lu Baogen Li Zheng Zhang Wenqiang Zhang Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan University Shanghai Engineering Research Center for Video Technology and System School of Computer ScienceFudan University School of Computer Science New York University Shanghai
Reinforcement learning algorithms are used to deal with a lot of sequential problems, such as playing games, mechanical control,and so on. Q-Learning is a model-free reinforcement learning *** traditional Q-learning a... 详细信息
来源: 评论