International Conference on Machine Learning and Pattern Recognition on August 02-04, 2024 in Osaka, Japan

International Conference on Machine Learning and Pattern Recognition on August 02-04, 2024 in Osaka, Japan

Conference Proceedings:

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 979-8-4007-1000-1), which will be submitted for indexing by Ei Compendex, Scopus, etc.

 

Keynote & Invited Speakers:

Prof. Hiroyuki Kudo, University of Tsukuba, Japan

Prof. Ce Zhu (IEEE Fellow), University of Electronic Science and Technology of China, China

Prof. Amir Hussain, Edinburgh Napier University, UK

Prof. Yen-Wei Chen, Ritsumeikan University, Japan

Assoc. Prof. Guangyu Gao, Beijing Institute of Technology, China

Assoc. Prof. Porawat Visutsak, King Mongkut’s University of Technology North Bangkok, Thailand

Assoc. Prof. Zheng-Ming Gao, Jingchu University of Technology, China

Prof. Jiarong Yang, Shanghai Electric Group Co., Ltd., Central Academe, China

 

Conference Schedule:

Day 1 - Friday - August 2, 2024

10:00 - 17:00 Sign In and Conference Material Collection

16:00 - 18:00 Committee Conference

Day 2 - Saturday - August 3, 2024

09:00 - 12:00 Opening Ceremony and Keynote Speeches

12:00 - 13:30 Lunch

13:30 - 15:30 Invited Speeches and Parallel Oral Sessions

15:30 - 16:30 Poster Sessions

16:30 - 18:30 Invited Speeches and Parallel Oral Sessions

18:30 - 20:30 Dinner Banquet and Award Ceremony

Day 3 - Sunday - August 4, 2024

09:00 - 12:00 Invited Speeches and Parallel Oral Sessions

12:00 - 13:30 Lunch

13:30 - 19:00 City Tour

 

Contact:

Conference Secretary: Miss Chloe Jiang

Email: [email protected]

Tel.: +86-19180927671

WeChat: csit2009

 

Call for Paper:

Track 1: Machine Learning

▪ Active learning

▪ Dimensionality reduction

▪ Feature selection

▪ Graphical models

▪ Imitation learning

▪ Intelligent Business Computing

▪ Intelligent Systems

▪ Intelligent control system

▪ Intelligent human machine interface

▪ Intelligent robot

▪ Latent variable models

▪ Learning for big data

▪ Learning from noisy supervision

▪ Learning in graphs

▪ Multi-objective learning

▪ Multiple instance learning

▪ Multi-task learning

 

Track 2: Pattern Recognition

▪ Analysis and detection of singularities

▪ Animation image analysis

▪ Classification

▪ Cluster analysis

▪ Deformation analysis

▪ Descriptor of shapes

▪ Diagnosis of faults

▪ Document analysis

▪ Emotion computation

▪ Enhancement and restoration

▪ Feature extraction

▪ Hand gestures classification

▪ Human face recognition

▪ Image compression

▪ Image fusion

▪ Image indexing and retrieval

▪ Image recovery

For more topics, please check: http://www.mlpr.org/cfp.html

 

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/

Related Events
More Events