计算机类 | 会议/期刊约稿信息7条

人工智能

AIAAT 2018

International Conference on Artificial Intelligence Applications and Technologies

摘要截稿: 2018-01-10

全文截稿: 2018-01-15

开会时间: 2018-08-08

会议难度: ★★

CCF分类: 无

会议地点: Shanghai, China

网址：http://aiaat.org/

AIAAT 2018 is dedicated to cutting edge research that addresses scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence Applications and Technologies. AIAAT 2018 is scheduled to include high-quality paper presentation sessions revealing the latest research findings, and to engage participants in interesting discussion sessions.

All accepted and registered papers will be included in IOP Conference Series: Materials Science and Engineering,which will be indexed by EI Compendex, Scopus, Thomson Reuters (WoS), Inspec, and other databases. All registered and presented papers will be online publishing. Selected papers with extension can be recommended to publish in International journals.

数据库管理与信息检索

ICDM 2018

Industrial Conference on Data Mining

全文截稿: 2018-01-15

开会时间: 2018-07-11

会议难度: ★★★

CCF分类: 无

会议地点: New York, USA

网址：http://www.data-mining-forum.de/

This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present their applications and the results obtained by applying data mining. Besides that, newcomers in the field can get a fast introduction to Data Mining by taking the tutorial running in connection with the conference. In a problem/solution hour you will have the opportunity to present your application and ask for support by others or for cooperation in solving the problem.

人工智能

ICCPR 2018

International Conference on Computing and Pattern Recognition

全文截稿: 2018-01-25

开会时间: 2018-06-23

会议难度: ★★

CCF分类: 无

会议地点: Shenzhen, China

网址：http://www.iccpr.org/

Welcome to the official website of 2018 International Conference on Computing and Pattern Recognition (ICCPR 2018)! Computing and Pattern Recognition contribute greatly in the advancement of technologies. Rapid technological advancements can be achieved through continuous research. Hong Kong Chemical, Biological & Environmental Engineering Society (HKCBEES) and Biology and Bioinformatics Society (BBS) is going to organize the 2018 International Conference on Computing and Pattern Recognition (ICCPR 2018) during June 23-25, 2018 in Shenzhen, China. The main objective is to create an effective platform for researchers and technical experts to share recent ideas, innovations and problem solving techniques in the vast areas of Computing and Pattern Recognition. It will be a great opportunity for both researchers and industrial communities to meet, discuss and share their research outcomes. Prospective authors are invited to submit their original technical papers for presentation at the conference and publications in the conference proceedings.

To be published in the ICCPR 2018 Conference Proceedings, the author of an accepted paper is required to register for the conference and present his/her paper. All papers published in the ICCPR 2018 Conference Proceedings will be indexed in Ei Compendex and submitted to be reviewed by Scopus and Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

Some selected refereed papers describing the state-of the-art topics will be considered for publication in the International Journal of Machine Learning and Computing (IJMLC) (ISSN: 2010-3700), which will be indexed by Scopus, EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library, and DOAJ.

图形学与多媒体

Computer Aided Geometric Design

Special Issue on Heat Diffusion Equation and Optimal Transport in Geometry Processing and Computer Graphics

全文截稿: 2018-02-19

影响因子: 1.364

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：软件工程 - 3区

  • 小类 : 应用数学 - 3区

网址: http://www.journals.elsevier.com/computer-aided-geometric-design

In geometry processing and shape analysis, several problems and applications have been addressed through the properties of the solution to the heat diffusion equation and to the optimal transport. For instance, diffusion kernels allow us to define diffusion distances, shape descriptors and clustering methods, to approximate geodesics and optimal transport distances, to deform 3D shapes, to smooth and approximate signals in a multi-scale fashion. Optimal transport has been successfully applied to volume parameterization, surface registration, inter-surface mapping, shape matching and comparison. Furthermore, the heat diffusion equation and the optimal transport are intrinsically correlated and central in different research fields, such as Computer Graphics, Geometry, Manifold Learning, and Differential Equations.

This Special Section of the CAGD Journal, published by Elsevier, covers a range of topics on the properties, discretization, computation, and applications of the heat equation and the optimal transport in the context of Computer Graphics, Computer-Aided Geometric Design, and related research fields. The topics range from geometry processing to high-level understanding of 3D shapes, and more generally n-dimensional data, including feature extraction, segmentation, and matching. The list of suggested topics includes but is not limited to:

• Heat diffusion equation
• Diffusion kernels and distances
• Diffusion shape descriptors
• Multi-scale modeling and approximation
• Optimal transport
• Wasserstein distance
• Geometry processing applications
• Surface parameterization
• Shape modelling applications
• Shape matching and comparison
• Dynamic surface tracking
• Shape analysis and retrieval
• Shape correspondence and registration
• Manifold learning
• Generative model in Machine Learning
• Clustering and dimensionality reduction
• Applications to Geometry Processing
• Applications to Computer Graphics
• Applications to Computational Geometry
• Applications to 3D Printing
• Applications to Material Design
• Applications to Computer Vision
• Applications to Medicine (e.g., brain and neuro-imaging)

计算机网络

ICCFI 2018

International Conference on Communications and Future Internet

全文截稿: 2018-03-05

开会时间: 2018-07-27

会议难度: ★

CCF分类: 无

会议地点: Beijing, China

网址：http://www.iccfi.org/

2018 2nd International Conference on Communications and Future Internet (ICCFI 2018) will be held in Beijing, China during July 27-29, 2018 as a workshop of 2018 2nd International Conference on Algorithms, Computing and Systems (ICACS 2018).

The conference serves as an annual platform to bring together researchers and practitioners from around the world who are developing or involving in Communications and Future Internet fields with attendant economic, environmental, and societal benefits. It enables the sharing and exchange of innovative technologies and approaches being applied in related fields of Communications and Future Internet .

Submissions will be peer reviewed and evaluated based on originality, relevance to conference, contributions, presentation, etc. All accepted papers of ICCFI 2018 after proper registration will be included in the conference proceedings of ICACS 2018, which will be submitted for index by Ei Compendex and Scopus.

人工智能

PRICAI 2018

Pacific Rim International Conference on Artificial Intelligence

全文截稿: 2018-03-31

开会时间: 2018-08-27

会议难度: ★★★

CCF分类: C类

会议地点: Nanjing, China

网址：cse.seu.edu.cn/pricai18/

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which concentrates on AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim. The 15th PRICAI (2018) will be held in Nanjing, China.

The Program Committee invites technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence. PRICAI-2018 aims to bring together researchers, practitioners, educators and users in AI and related communities for in-depth intellectual exchanges, research cooperation and professional development.

人工智能

IDC 2018

International Symposium on Intelligent Distributed Computing

全文截稿: 2018-04-09

开会时间: 2018-10-15

会议难度: ★★

CCF分类: 无

会议地点: Bilbao, Spain

网址：http://idc2018.jrlab.science/

The 12th International Symposium on Intelligent Distributed Computing (IDC 2018) will be held in October 2018 in Bilbao, Spain. The main goal of these series of symposiums is to gather researchers and practitioners to foster and ease rich discussions around the latest findings, research achievements and ideas in the area of Intelligent Distributed Computing. The IDC provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributing Computing communities. Intelligent Computing covers a hybrid palette of methods and techniques ranging from classical artificial intelligence, information sciences or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing or machine learning. Distributed Computing develops technologies and methods to build complex computational systems composed of collaborating software components spread over different computational elements. Recent trends on this field are Ephemeral Computing, Federated Learning or Swarm Robotics. Thus, the field of Intelligent Distributed Computing seeks for the design and implementation of new generation of intelligent distributed systems, adapting or hybridizing researches in both Intelligent Computing and Distributed Computing. IDC 2018 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their practicability as well as industrial applicability. To this end, scholars and practitioners from academia and industrial fields are invited to submit high-quality original contributions to IDC 2018. The structure of the symposium consists of regular sessions with technical contributions reviewed and selected by an international program committee, as well as of special sessions focused on multi-disciplinary and cutting-edge topics.

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