日本データベース学会の皆様 （重複して受け取られた場合はご容赦ください） 山口大学の王と申します。 お世話になっております。 今年12月にSan Diegoにて開催される国際会議IEEE ISM 2019の併設ワークショップ MLCSA2019 (Machine Learning and Computing for Visual Semantic Analysis) の論文募集のご案内をいたします。 機械学習、画像処理、ユビキタスコンピューティング、データマイニングなど に関する論文を幅広く募集しております。 論文の投稿締切は ***10月14日*** となっており、 是非ともご投稿をご検討いただけますようよろしくお願いいたします。 * Workshop site: http://mlp.sci.yamaguchi-u.ac.jp/MLCSA2019/index.html * Submission link: https://easychair.org/conferences/?conf=mlcsa2019 * Submission deadline: October 14, 2019 どうぞよろしくお願い申し上げます。 ******************************************************************* MLCSA2019: IEEE ISM 2019 Workshop on Machine Learning and Computing for Visual Semantic Analysis San Diego, California, USA. December 9-11, 2019 http://mlp.sci.yamaguchi-u.ac.jp/MLCSA2019/index.html ******************************************************************* Recently, visual contents collected from surveillance cameras, mobile phones, personal photo collections, news footage, or medical images have been explosively increased. How to automatically/ quantitatively analyze and understand the acquired visual contents is becoming one of the most active research areas in the vision community due to the scientifically challenging problems and its great benefits to real life applications. On the other hand, machine learning techniques especially the deep learning framework have manifested the surprising superiority for extracting structural and semantic visual representation in numerous computer vision applications such as image classification, object detection/localization, image segmentation, captioning, and so on. With machine learning and computing techniques, it is prospected to discover the inherent structure of the available unconditioned visual contents and to achieve more promising results for various applications based on visual semantic analysis. This workshop, on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2019) - aims at sharing latest progress and developments, current challenges, and potential applications for exploiting large amounts of visual contents. ++ List of Topics ++ =================================================================== The topics we are interested in, include constructing effective systems to enable visual semantic analysis and building wide applications within the fields of artificial intelligence, machine learning, image processing, ubiquitous computing, data mining, and others. The topics of interest include, but are not limited to, the following: - Unsupervised and semi-supervised learning - Deep/transfer learning for image and multimedia analysis - Statistical modeling of image processing task - Spatio-temporal data mining - Feature extraction and matching - Activity/Pattern learning and recognition - Application of visual semantic analysis - Semantic analysis of surveillance image and video - Remote sensing image understanding - Big data management - Medical data analysis - Social data analysis =================================================================== ++ Important Dates ++ =================================================================== - Paper Submission: October 14, 2019, 11:59pm, PDT - Acceptance Notification: October 25, 2019, PDT - Camera-ready Submission: October 31, 2019, 11:59pm, PDT - Workshop Date: to be announced =================================================================== ++ Submission Guidelines ++ (See http://mlp.sci.yamaguchi-u.ac.jp/MLCSA2019/submission.html for details) =================================================================== Papers submitted to the MLCSA workshop must not have been previously published and must not be currently under consideration for publication elsewhere. We invite researchers and practitioners to submit papers to the MLCSA workshop according to the guidelines available on the conference website at https://www.ieee-ism.org/submission. Only electronic submission will be accepted. The page numbers for workshop papers are limited to 8, including all figures, tables, and references. Paper authors MUST submit their manuscripts in PDF through EasyChair conference submission system: https://easychair.org/conferences/?conf=mlcsa2019 NOTE: Workshop papers allow up to 2 extra pages with $150 per extra page. These are hard deadlines; no extensions will be given. =================================================================== ++ Workshop Organizers++ =================================================================== - YongQing Sun (NTT, Japan) - Xian-Hua Han (Yamaguchi University, Japan) - YuanYuan Wang (Yamaguchi University, Japan) =================================================================== ++ Program Committee (Tentative)++ =================================================================== - Yen-Wei Chen (Ritsumeikan University, Japan) - Wen-Huang Cheng (Academia Sinica, Taiwan) - Basabi Chakraborty (Iwate Prefectural University, Japan) - JunPing Deng (ShangHai Ocean University, China) - Xin Fan (Dalian University of Technology, China) - Yutaro Iwamoto (Ritsumeikan University, Japan) - YanLi Ji (University of Electronic Science and Technology of China, China) - YuGang Jiang (Fudan University, China) - Akisato Kimura (NTT Communication Science Laboratories, Japan) - Xu Qiao (Shandong University, China) - Jia Su (Capital Normal University, China) - JianDe Sun (ShanDong Normal University, China) - BoXin Shi (National Institute of Advanced Industrial Science and Technology, Japan) - Jian Wang (ShanDong Normal University, China) =================================================================== -- 王 元元 山口大学大学院創成科学研究科 工学系学域・知能情報工学分野 （兼担：工学部知能情報工学科） 助教　博士（環境人間学） y.wang@yamaguchi-u.ac.jp circl.wang@gmail.com 0836-85-9522 Yuanyuan Wang, Ph.D Assistant Professor, Department of Information Science and Engineering, College of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Japan　 E-mail: y.wang@yamaguchi-u.ac.jp circl.wang@gmail.com Tel: +81-836-85-9522