Konferenzen  >  Mathematik  >  Mustererkennung und Bildverarbeitung, Maschinelles Sehen

The 6th International Conference on Tomography of Materials and Structures (ICTMS) will be held from 1-5 July 2024 in person in Cape Town, South Africa. This event will bring together an international group of scientists, from universities, research organisations and industry, to discuss a broad range of issues related to the use of 3D tomographic imaging in materials and structures.

Messtechnik,    Angewandte Physik (allgemein)

6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances.

Email: cmla@cseit2024.org

Bayesian Network Computer Vision Data Mining Deep Learning Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Machine Learning Algorithms Neural Networks Predictive Learning Reinforcement Learning Supervised Machine Learning Unsupervised Machine Learning

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Implementierung und Anwendungen von künstlicher Intelligenz

University of Pannonia, University of Szeged, INRIA, HUN-REN Sztaki

The Summer School on Remote Sensing and Microscopy Image Processing aims to provide a stimulating opportunity for graduate and PhD students interested in image processing. SSRM will be held between 29 July and 2 August 2024, in Veszprém, Hungary, hosted by the University of Pannonia. Participants will benefit from direct interaction with internationally renowned researchers in various fields of image processing and computer vision applied to remote sensing and microscopy as well as from interacting with fellow participants from all over the world. Students will also have the possibility to present their research. In addition to morning lectures, students work on an assignment in international teams, which are then evaluated by a committee of lecturers on the last day. The best works are awarded symbolic prizes. Students will receive a certificate of attending the Summer School and passing the exam, which is recognized as a special PhD course by several universities.

Tel.: [+36 307370404];     Email: czuni.laszlo@mik.uni-pannon.hu

probabilistic graphical models, CNNs and deep learning, semantic segmentation, object detection, biodiversity tracking, radar remote sensing, aspects of polarization, shape models, multimodal data fusion, marked point process,

Messtechnik,    Mikroskopie

International Association of Computer Science and Information Technology

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.

Email: aimee@iacsit.net

Machine Learning; Active learning; Pattern Recognition; Analysis and detection of singularities; Animation image analysis;

The summer school is taking place in Denmark and is the sixteenth summer school jointly organized by DIKU, DTU, and AAU.

Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis.

Wissenschaftliches Rechnen und Datenwissenschaft,    Veranstaltungen für Studenten der Informatik

Casa Matemática Oaxaca (CMO)

Our society faces various grand challenges that it urgently needs to address over the coming years, such as mitigating climate change, combating environmental damage, and providing effective, affordable healthcare for everyone. Data science and Artificial Intelligence are expected to play a key role in successfully tackling many of these challenges. While recent progress in AI was driven mostly by empirical developments, we are entering now a new phase in which questions of trustworthiness, scalability, fairness, privacy, reproducibility, and explainability emerge as key factors. Fundamentally new ideas and approaches are needed to address these open problems, which will require a close collaboration between mathematicians, statisticians, computer scientists, and engineers. This workshop features an interdisciplinary group of exceptional scientists from across the world to present recent developments, foster new interactions, and create novel ideas for the solution of the aforementioned data science problems.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Wissenschaftliches Rechnen und Datenwissenschaft

AIPR2024 is mainly organised by Huaqiao University, co-sponsored by Wuhan Institute of Technology and Minnan Normal University, China.

Today, AI is surrounding us, it is coordinated into our every day lives. Artificial Intelligence is empowering machines to behave like humans by adding Emotional Quotient(EQ) to them. Artificial intelligence is a blooming technological advancement, from software’s like Alexa, to basic human command system. Big data can be used to speed up AI development and soon AI will significantly impact our everyday lives. AI is the future and it’s here to stay. In the future, there will be a greater demand for people who can program machines to “think” and enrich human lives. A pattern is a short description of the data. Pattern recognition is how agents make predictions, which is a central problem in AI. Pattern recognition forms the basis of learning and action for all living things in nature. The importance of Pattern Recognition can be traced from its needs in daily life- pattern recognition plays an important role: reading texts, identifying people, retrieving objects, or finding the way in a city. Once patterns are established, learned from some examples or from a teacher, we are able to classify new objects or phenomena into a class of known patterns. Pattern Recognition is a vast area of research and there are endless number of possibilities as pattern recognition is still under research as it is getting more futuristic and intelligent with a great affect in human life in a positive manner.

Email: Dunn@iact.net

Pattern Recognition and Machine Learning; Computer Vision and Robot Vision; Image, Speech, Signal and Video Processing; Document Analysis, Biometrics and Pattern Recognition Applications; Biomedical Image Analysis and Applications;

5th International Conference on Artificial Intelligence and Machine Learning (CAIML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications.

Artificial Intelligence AI Algorithms Artificial Intelligence Tools and Application Automatic Control Bioinformatics CAD Design and Testing Computational Theories of Learning Computer Vision and Speech Understanding Data Mining and Machine Learning Tools Fuzzy Logic Heuristic and AI Planning Strategies and Tools Hybrid Intelligent Systems Information Retrieval Intelligent System Architecture Knowledge Representation Knowledge-based Systems Mechatronics Multimedia & Cognitive Informatics Natural Language Processing Neural Networks Parallel Processing Pattern Recognition Pervasive Computing and Ambient Intelligence Programming Languages Reasoning and Evolution Recent Trends and Developments Robotics Semantic Web Techniques and Technologies Soft computing theory and Applications Software & Hardware Architectures Web Intelligence Applications & Search Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems

The world is changing, and digital reflections of the real world have become increasingly important for governments and business to understand and manage environmental and socio-economic issues, and to channel sustainable development and reduce emissions. The pressure placed on the use of working and living spaces further necessitates decisions that are based on based on more complex, multi-dimensional spatial data. Digital twins have developed as a critical technology that offers a platform for the testing and analyses of complex systems, which would be impossible to perform with traditional simulators and modular evaluations. However, the development of such technology faces many challenges including discovery, sharing, fusion, analysis and simulation of spatial information, data unavailability to train Machine Learning (models, management, and visualisation of big multidimensional data. The ISPRS Technical Commission IV 'Spatial Information Sciences' has the mission to advance spatial information science, enable spatial digital twins and empower their development to a metaverse.

multidimensional modelling • fusion of data • open data • data management of big data • spatial analysis and simulation • mixed reality • advanced interfaces.

Geographische Informationssysteme (GIS), Geoinformatik, Erdbeobachtung,    Messtechnik

Geographische Informationssysteme (GIS), Geoinformatik, Erdbeobachtung,    Messtechnik

Signal Processing Society

The 2024 IEEE International Conference on Image Processing (ICIP 2024) is renowned as the largest and most comprehensive conference dedicated to image & video processing and computer vision. ICIP 2024 promises to be a hub of innovation and learning. The technical program of the conference will feature eminent plenary speakers, insightful tutorials, engaging exhibits and demonstrations, oral and poster sessions, special sessions, industry-focused workshops, and several events targeting women-in-engineering, students, and young professionals.

Email: jayson.gilbert@ieee.org

image processing, computer vision, video processing

DICTA is the premier conference organized in Australia on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as a flagship conference of the Australian Pattern Recognition Society (APRS) and has been historically co-sponsored technically by the Institute of Electrical and Electronics Engineers (IEEE) and the International Association for Pattern Recognition (IAPR).

International Association of Pattern Recognition

The International Conference on Pattern Recognition (ICPR) is the flagship conference of the International Association of Pattern Recognition and the premier conference in Pattern Recognition, Covering Computer Vision, Machine Learning, Image, Speech, Sensor Pattern Processing etc. ICPR 2024 is the 27th event of the series and it provides a great opportunity to nurture new ideas and collaboration for students, academics, and industry researchers.

ACCV is a leading biennial international conference sponsored by the Asian Federation of Computer Vision. A premier forum for researchers, developers, and practitioners to present and discuss new problems, solutions, and technologies in computer vision, machine learning, and related areas in artificial intelligence. ACCV solicits high-quality original research for publication in its main conference and co-located workshops. ACCV 2024 will be in-person but a remote option will be provided.

International Association of Computer Science and Information Technology

It is with great pleasure that we welcome you to The 2nd Asia Symposium on Image and Graphics (ASIG 2024), to be held during December 20-22, 2024 in the beautiful city of Sanya, China. ASIG 2024 is sponsored by East China Normal University, China, hosted by Hainan Institute of East China Normal University, China, assisted by Shanghai Key laboratory of Mulidimendinal information Processing, China.

Email: aimee@iacsit.net

Image and Video Analysis; Computer Vision; Pattern Recognition; Graphics, Visualization, and Virtual Reality; Applications;

AIGC 2024 will be a focal point for the latest advancements in Al-generated content. We believe this conference will provide a platform for participants to share cutting-edge information, ideas, and experiences in in Al-genelrated content and related fields. Your valuable contributions through papers and presentations,coupled with active participation, will undoubtedly enhance the overall success of the event.

Conference Secretariat;     Tel.: [+86-15618780723];     Email: contact@icaigc.org

T1: Foundations of AI Artificial General Intelligence Machine Learning Deep Learning Transformer Neural Networks T2: AI in Creative Expression Generative AI AI-generated Audio AI-generated Art AI-generated Image T3: Advanced AI Applications Natural Language Processing (NLP) Computer Vision Diffusion Models for Machine Learning AI in Robotics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

International Academy of Computing Technology

Following the success of previous seven years' event in Tokyo(2018), Jeju Island(2019), online conferences from 2020-2022, Chengdu(2023), Hangzhou(2024) respectively, the Eighth International Conference on Computer Graphics and Virtuality(ICCGV 2025) will take place in Chengdu, China, during February 21-23, 2025.

Email: Dunn@iact.net

Computer Graphics; Images processing and computer vision; Tracking and sensing; Input devices for VR/AR/MR; Advanced display technology; Immersive projection technology;

ACMSC

Email: amychou2020@163.com

Modeling of natural scenes and phenomena; Simulation and virtual reality; Software tools for computer graphics; Software tools for virtual reality; Sound rendering technologies; Surface modeling; Virtual and augmented reality; Color and texture; Compression methods; Computational geometry;