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检索条件"机构=Key Lab of Intelligent Information Processing and Advanced Computing Research Lab"
953 条 记 录,以下是31-40 订阅
排序:
A Survey of Commonsense Knowledge Acquisition
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Journal of Computer Science & Technology 2013年 第4期28卷 689-719页
作者: 臧良俊 曹聪 曹亚男 吴昱明 曹存根 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences University of the Chinese Academy of Sciences The Second Lab Institute of Information Engineering Chinese Academy of Sciences
Collecting massive commonsense knowledge (CSK) for commonsense reasoning has been a long time standing challenge within artificial intelligence research. Numerous methods and systems for acquiring CSK have been deve... 详细信息
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DMFVAE:miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
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Frontiers of Computer Science 2024年 第6期18卷 259-270页
作者: Pijing WEI Qianqian WANG Zhen GAO Ruifen CAO Chunhou ZHENG Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial IntelligenceAnhui UniversityHefei 230601China
MicroRNAs(miRNAs)are closely related to numerous complex human diseases,therefore,exploring miRNA-disease associations(MDAs)can help people gain a better understanding of complex disease *** increasing number of compu... 详细信息
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LMP-GAN: Out-Of-Distribution Detection For Non-Control Data Malware Attacks
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年 PP卷 PP页
作者: Wood, David Kapp, David Kebede, Temesgen Hirakawa, Keigo Wuhan University School of Computer Science China Wuhan University National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering China Zhongguancun Academy China Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing China Sun Yat-sen University School of Geography and Planning China Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates Chongqing University College of Computer Science China The University of Tokyo Japan RIKEN Center for Advanced Intelligence Project Japan Intelligent Science & Technology Academy Limited CASIC China iFlytek Company Ltd. National Engineering Research Center of Speech and Language Information Processing China Nanyang Technological University College of Computing & Data Science Singapore Henan Academy of Sciences Aerospace Information Research Institute China
Anomaly detection is a common application of machine learning. Out-of-distribution (OOD) detection in particular is a semi-supervised anomaly detection technique where the detection method is trained only on the inlie... 详细信息
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Primal least squares twin support vector regression
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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年 第9期14卷 722-732页
作者: Hua-juan HUANG Shi-fei DING Zhong-zhi SHI School of Computer Science and Technology China University of Mining and Technology Key Lab of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences
The training algorithm of classical twin support vector regression (TSVR) can be attributed to the solution of a pair of quadratic programming problems (QPPs) with inequality constraints in the dual ***,this solution ... 详细信息
来源: 评论
VIPLFaceNet: an open source deep face recognition SDK
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Frontiers of Computer Science 2017年 第2期11卷 208-218页
作者: Xin LIU Meina KAN Wanglong WU Shiguang SHAN Xilin CHEN Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China
Robust face representation is imperative to highly accurate face recognition. In this work, we propose an open source face recognition method with deep representation named as VIPLFaceNet, which is a lO-layer deep con... 详细信息
来源: 评论
Relation Reconstructive Binarization of word embeddings
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Frontiers of Computer Science 2022年 第2期16卷 47-54页
作者: Feiyang PAN Shuokai LI Xiang AO Qing HE Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China
Word-embedding acts as one of the backbones of modern natural language processing(NLP).Recently,with the need for deploying NLP models to low-resource devices,there has been a surge of interest to compress word embedd... 详细信息
来源: 评论
Nested relation extraction with iterative neural network
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Frontiers of Computer Science 2021年 第3期15卷 109-122页
作者: Yixuan CAO Dian CHEN Zhengqi XU Hongwei LI Ping LUO Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China
Most existing researches on relation extraction focus on binary flat relations like Bomln relation between a Person and a *** a large portion of objective facts de-scribed in natural language are complex,especially in... 详细信息
来源: 评论
Robust low-rank tensor factorization by cyclic weighted median
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Science China(information Sciences) 2015年 第5期58卷 145-155页
作者: MENG DeYu ZHANG Biao XU ZongBen ZHANG Lei GAO ChenQiang Institute for Information and System Sciences and Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Department of Computing Hong Kong Polytechnic University Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications
Low-rank tensor factorization(LRTF) provides a useful mathematical tool to reveal and analyze multi-factor structures underlying data in a wide range of practical applications. One challenging issue in LRTF is how to ... 详细信息
来源: 评论
A Regularized Super Resolution Algorithm for Generalized Gaussian Noise
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Journal of Donghua University(English Edition) 2010年 第1期27卷 25-35页
作者: 陈文 方向忠 刘立峰 蒋伟 丁大为 乔艳涛 Institute of Image Communication and Information Processing Shanghai Jiaotong University Computer and Information Department Shanghai University of Electric Power Key Lab oratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University
In this paper,an iterative regularized super resolution (SR) algorithm considering non-Gaussian noise is *** on the assumption of a generalized Gaussian distribution for the contaminating noise,an lp norm is adopted t... 详细信息
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Localization Optimization Algorithm of Maximum Likelihood Estimation Based on Received Signal Strength  9
Localization Optimization Algorithm of Maximum Likelihood Es...
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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)
作者: Jun Zhu Qiang Chen Jingjing Zhang Key Lab of Intelligent Computing and Signal Processing Ministry of Education School of Electronics and Information Engineering Anhui University
In this paper, we propose a method to improve localization algorithm of maximum likelihood estimation;the localization scheme relies on the distance threshold. In order to suppress effectively the effects of received ... 详细信息
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