International Conference on Machine Learning and Pattern Recognition MLPR on December 04-06, 2026 in Kyoto, Japan

Topics (Topics of interest for submission include, but are not limited to:)

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

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

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

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

More Details please click: https://www.mlpr.org/cfp.html

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