Machine Learning
Active learning, Dimensionality reduction, Feature selection, Graphical models, Imitation Learning, Latent variable models, Learning for big data, Learning from noisy supervision, Learning in graphs, Multi-objective learning, etc.
Submission Deadline:
June 25, 2024
Notification Deadline:
July 10, 2024
Registration Deadline:
July
15, 2024
The 2nd International Conference on
Machine Learning and Pattern Recognition
(MLPR 2024) will be held in Osaka, Japan
during August 2-4, 2024. MLPR 2024 is
organized by Ritsumeikan University, Japan.
The conference includes keynote talks,
invited talks, forums and oral and poster
presentations of author papers.
We invite submissions of papers on all
topics related to machine learning and
pattern recognition for the main conference
proceedings. All papers will be reviewed in
a double-blind process and accepted papers
will be presented at the conference.
Organized by
Assisted by
Sponsored by
The conference calls for high-quality, unpublished, original research papers in the theory and practice of machine learning and pattern recognition. We encourage submissions from all over the world. Topics of interest include but are not limited to:
Active learning, Dimensionality reduction, Feature selection, Graphical models, Imitation Learning, Latent variable models, Learning for big data, Learning from noisy supervision, Learning in graphs, Multi-objective learning, etc.
Analysis and detection of singularities, Animation image analysis, Artificial Life, Biomedical imaging, Descriptor of shapes, Diagnosis of faults, Document analysis, Emotion Computation, etc.
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.