Conférences  >  Mathématiques  >  Reconnaissance de formes et traitement d'image, vision par ordinateur

MIPRO Croatian Society

Artificial Intelligence (AI) has been an important area of research in recent years, with rapid and significant advances occurring every month. AI involves not only the development of machine learning models, but also their integration into various technical systems for the purposes of automation and expansion of human knowledge. The conference will address topics related to the underlying technologies of AI systems, methods and tools, as well as all kinds of applications. Original scientific papers, reviews, and technical papers on various aspects of AI systems are welcome.

Alan Jovic - conference chair;     Tél.: [+38551423984];     Email.: alan.jovic@fer.hr

Artificial Intelligence, Artificial Intelligence in Industry, Machine Learning & Deep Learning, Signal, Image, and Video Processing & Analysis, Natural Language Processing & Text Analysis, Knowledge-Based Systems, Formal Methods & Neuro-Symbolic Artificial Intelligence, Hardware Architectures for Artificial Intelligence, Trustworthy Artificial Intelligence & Explainability, Soft Computing & Optimization

Mise en œuvre et applications de l'intelligence artificielle,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

ACMSC

2025 7th Asia Symposium on Image Processing will be held in Tsukuba, Japan during June 13-15, 2025. It is co-sponsored by Tsukuba University, Japan and Tianjin University of Technology and Education, China. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Image Processing. Welcome scholars and researchers working in the field of Image Processing from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Email.: amychou2020@163.com

Advanced descriptors and similarity metrics for images, audio and video; Affect-based indexing, search, and retrieval of images & videos; Interactive techniques; Knowledge-based recognition; Color and texture; Compression methods; Computational geometry; Human-computer interfaces; Software tools for virtual reality;

Chongqing University of Posts and Telecommunications

2025 The 6th International Conference on Pattern Recognition and Machine Learning (PRML) will take place in Chongqing, China during June 13 to 16, 2025. Sponsored by Chongqing University of Posts and Telecommunications, the conference aims to provide a high-level platform for academic exchange among researchers worldwide. We warmly invite researchers and engineers from academia and industry to submit their contributions and join us at the event to share insights and celebrate advancements in the field.

In recent years, the fields of pattern recognition and machine learning have seen remarkable advancements, particularly in applications such as image processing, natural language processing, autonomous driving, medical diagnostics, and intelligent manufacturing. These technologies have emerged as critical pillars of intelligent society. Established in 2020, the PRML conference series aims to foster academic research and technological innovation in these domains. As an annual international conference, PRML attracts experts and scholars from around the globe, offering a platform for showcasing technological advancements, disseminating research findings, and exploring future trends. The conference topics span fundamental theories, algorithm design, and applications of pattern recognition and machine learning across various industries, including cutting-edge areas such as deep learning, reinforcement learning, transfer learning, big data analytics, computer vision, and speech recognition.

Tél.: [+86-18080097050];     Email.: Ian@cbees.net

Track 1: Computer Vision and Recognition ◇ Image and Video Classification ◇ Object Detection and Tracking ◇ Semantic Segmentation ◇ Content-based Image Retrieval ◇ Facial Recognition ◇ 3D Reconstructions ◇ Action Recognition Track 2: Deep Learning and Optimization ◇ Neural Generative Models, Autoencoders, GANs ◇ Optimization and Learning Methods ◇ Representation Learning and Deep Learning ◇ Scene Analysis and Understanding ◇ Transfer Learning, Low-Shot, Semi- and Unsupervised Learning ◇ Motion and Tracking Track 3: Artificial Intelligence (AI) in Biomedical Applications ◇ AI in Biomedical Signal and Image Processing ◇ Bioinformatics for Healthcare Wngineering ◇ Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision ◇ Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI ◇ Applying Machine Learning-empowered Sensing to Biomedical Scenarios ◇ Distributed Computing for Big Data in Smart Healthcare using AI ◇ AI-enabled Remote Patient Monitoring using Big Data Track 4: Vision Applications and Systems (Click) ◇ Segmentation, Grouping, and Shape ◇ Vision + Language, Vision + Other Modalities ◇ Video Analysis and Understanding ◇ Vision Applications and Systems ◇ Vision for Robotics and Autonomous Vehicles ◇ Visual Reasoning and Logical Representation Track 5: Artificial Intelligence (AI) for Data Analytics ◇ Data Clustering, Classification, and Visualisation ◇ Explainable AI and Knowledge Discovery from Databases ◇ Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support ◇ Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics ◇ Predictive Maintenance, Condition Monitoring, Manufacturing Analytics ◇ Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.

Join our online event centered on the transformative field of photonic-based technologies for robotic vision. As robots become more integral in everything from manufacturing to home appliances, the sophistication and precision of their functions increasingly rely on advanced vision and sensing capabilities, which are defined by parameters such as latency, resolution, and field of view. This professional meeting will explore the latest developments in LiDAR, camera-based, and alternative vision approaches, and aims to facilitate industry collaborations that create new business opportunities. Engage with industry leaders and innovators in a dynamic discussion that could significantly influence the future of robotic technologies.

Robotique, automation & mécatronique,    Opto-électronique et technique d'affichage

International Association of Computer Science and Information Technology

The 3rd International Conference on Machine Learning and Pattern Recognition (MLPR 2025) will be held in Kyoto, Japan during July 25-27, 2025. MLPR 2025 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.

Email.: aimee@iacsit.net

Machine Learning; Active learning; Dimensionality reduction; Feature selection; Pattern Recognition; Analysis and detection of singularities; Animation image analysis; Classification; Cluster analysis;

University of Catania, Italy & University of Florida, USA

The Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.

Event Secretariat;     Email.: acain@icas.cc

Artificial Intelligence, Neuroscience, Cognitive Science, Computational Neuroscience, Foundation models, Large Language Models.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Neurologie