会議情報

MLPR 2026: International Conference on Machine Learning and Pattern Recognition

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投稿締切日:
2026-06-30 残り 9 日
通知日:
2026-07-30
開催日:
2026-12-04
開催地:
Kyoto, Japan
開催回数:
4
閲覧: 6265   フォロー: 0   参加: 0

論文募集

MLPR 2026 (International Conference on Machine Learning and Pattern Recognition) is an academic conference held in Kyoto, Japan on 2026-12-04. The paper submission deadline is 2026-06-30. Acceptance notifications are sent on 2026-07-30.

The conference calls for high-quality, unpublished, original research papers in the theory and practice of machine learning and pattern recognition.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: 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 ▪ Online learning ▪ Optimization ▪ Reinforcement learning ▪ Relational learning ▪ Semi-supervised learning ▪ Sparse learning ▪ Statistical machine learning ▪ Structured output learning ▪ Supervised learning ▪ Transfer learning ▪ Unsupervised learning ▪ Other machine learning methodologies 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 ▪ Invariant representation of patterns ▪ Iris pattern recognition ▪ Learning theory ▪ Machine vision ▪ Medical image analysis ▪ Noise reduction ▪ Nonstationary stochastic processing ▪ Range imaging and detection ▪ Segmentation ▪ Stochastic pattern recognition ▪ Texture analysis and classification ▪ Visualization
最終更新：Dou Sun（）

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CCF正式名称インパクトファクター出版社ISSN
BMachine Learning2.9Springer0885-6125
International Journal of Pattern Recognition & Artificial IntelligenceWorld Scientific0218-0014
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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