Conference Information
MLPRIS 2020: International Conference on Machine Learning, Pattern Recognition and Intelligent Systems
https://www.confjuly.org/conference/MLPRIS2020/
Submission Date:
2020-12-25 Extended
Notification Date:
Conference Date:
2020-07-17
Location:
Kunming, China
Years:
4
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Conference Location
Call For Papers
第四届机器学习、模式识别与智能系统国际会议(MLPRIS 2021)
The 4th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2021)
大会官网:https://www.confjuly.org/conference/MLPRIS2021/
大会时间:2021年7月16-18日
大会地点:中国昆明
在线投稿:https://www.confjuly.org/RegistrationSubmission/default.aspx?ConferenceID=1367
邮箱投稿:intelconf@163.com
录用通知:论文投稿后1周左右
△. 会议简介
由于目前国内乃至全世界新型冠状病毒感染肺炎疫情仍未结束,世界各国仍维持非常严格的禁止集会,非必要不得出入境,必须14天隔离的政策。同时也为了大家的身体和生命安全,积极响应国家“不出门,不聚会”阻断和隔离传染的号召,我们将推迟此次会议,原定于2020年7月17-19的会议延期至2021年7月16-18日在昆明举行(官网:http://www.confjuly.org/conference/MLPRIS2021/)。如给您造成不便,我们非常抱歉,望谅解。 
第四届机器学习、模式识别与智能系统国际会议(MLPRIS 2021)将于2021年7月16-18日在中国昆明举行。MLPRIS 2021议题涵盖先进的控制和检测技术,人工神经网络,音频/语音识别、音乐分析、多媒体系统,生物特征学、生物医学模式分析和信息系统,数据/Web挖掘和知识发现,人机交互等。本届大会将继续遵循学术性、国际性的原则,特邀国内外纳米医学相关领域内的学者专家前来参会,并做出精彩的报告。
△.文章出版
所有被会议录用的稿件将会发表在开源期刊,被知网学术、谷歌学术等收录。
△.投稿须知:
论文应具有学术或实用价值,未在国内外学术期刊或会议发表过。
论文排版格式以及投稿方式详见网站说明。
审稿流程:本次会议采用先投稿,先送专家评审的方式进行,审稿周期约1周。
△.参会方式(注:会议有Oral Presentation以及Poster环节)
1.全文参会:提交全文并发表,申请参与10-15分钟的口头报告,3600元
2.摘要参会:提交摘要,申请参与10-15分钟的口头报告,2700元
3.听众参会:只参会听讲,不参与演讲及展示,2400元
△. 大会咨询
联系人:张老师
邮箱:intelconf@163.com
QQ:1349406763
电话:132 6470 2250
微信:3025797047
△. 大会议题
Advanced Control and Detection Technology
Applications
Artificial Neural Networks
Audio/Speech Recognition, Music Analysis, Multimedia Systems
Biometrics, Biomedical Pattern Analysis and Information Systems
Classification and Clustering Techniques
Data/web Mining and Knowledge Discovery
Document Processing / Text and Graphics Recognition / Digital Libraries
Evolutionary Computation
Feature Selection / Dimensionality Reduction / Manifold Learning
Graph-based Techniques for Pattern Recognition
Human-computer Interaction
Intelligent and Fuzzy Control
Intelligent Computation Theory / Models and Algorithms for Intelligent Computation
Intelligent Computing / Soft Computing
Intelligent Robot Technology
Invariance in Pattern Recognition
Kernel Methods and Support Vector Machines
Knowledge Engineering, Cloud Computation, Intelligent Decision and Advanced Management
Natural Language Analysis / Information Retrieval
Pattern Recognition Algorithms/Systems
Raw Data Representation
Shape and Texture Analysis
Signal Analysis / Image Coding and Processing
Special Hardware Architectures and Software Packages / Embedded Systems
Statistical Machine Learning
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Web Intelligence and Technology
Other Related Topics
Last updated by Lin Ru in 2020-06-19
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