Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume LNCS 14243 constitutes the refereed proceedings of the Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, on October 8, 2023, in Vancouver, BC, Canada. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The conference focuses on the discovery of cutting-edge techniques addressing trends and challenges in theoretical, computational, and applied aspects of mathematical cancer data analysis.

Image processing --- Computer vision. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Digital techniques. --- Cancer --- Imaging.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the proceedings from the workshops held at the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco in October 2024. The 23 papers presented in this volume were carefully reviewed and selected from the total submissions from the following workshops: - Ninth International Skin Imaging Collaboration Workshop (ISIC 2024) Seventh International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2024) Embodied AI and Robotics for HealTHcare Workshop (EARTH 2024) Fifth MICCAI Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2024).

Image processing --- Computer vision. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Digital techniques.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In Synthetic Vision: Using Volume Learning and Visual DNA, a holistic model of the human visual system is developed into a working model in C++, informed by the latest neuroscience, DNN, and computer vision research. The author's synthetic visual pathway model includes the eye, LGN, visual cortex, and the high level PFC learning centers. The corresponding visual genome model (VGM), begun in 2014, is introduced herein as the basis for a visual genome project analogous to the Human Genome Project funded by the US government. The VGM introduces volume learning principles and Visual DNA (VDNA) taking a multivariate approach beyond deep neural networks. Volume learning is modeled as programmable learning and reasoning agents, providing rich methods for structured agent classification networks. Volume learning incorporates a massive volume of multivariate features in various data space projections, collected into strands of Visual DNA, analogous to human DNA genes. VGM lays a foundation for a visual genome project to sequence VDNA as visual genomes in a public database, using collaborative research to move synthetic vision science forward and enable new applications. Bibliographical references are provided to key neuroscience, computer vision, and deep learning research, which form the basis for the biologically plausible VGM model and the synthetic visual pathway. The book also includes graphical illustrations and C++ API reference materials to enable VGM application programming. Open source code licenses are available for engineers and scientists. Scott Krig founded Krig Research to provide some of the world's first vision and imaging systems worldwide for military, industry, government, and academic use. Krig has worked for major corporations and startups in the areas of machine learning, computer vision, imaging, graphics, robotics and automation, computer security and cryptography. He has authored international patents in the areas of computer architecture, communications, computer security, digital imaging, and computer vision, and studied at Stanford. Scott Krig is the author of the English/Chinese Springer book Computer Vision Metrics, Survey, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning, Textbook Edition, as well as other books, articles, and papers.

Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer Imaging. --- Computer Vision. --- Image Processing. --- Sensor. --- Synthetic Vision. --- Visualization.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4–6, 2022. The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image Analysis, Image/ Video Processing for Autonomous Vehicles, Activity Detection/ Recognition, Human Computer Interaction, Segmentation and Shape Representation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc.

Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- grafische vormgeving --- Image processing—Digital techniques. --- Computer vision. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image processing --- Digital techniques.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the refereed proceedings of the 24th Workshop on Chinese Lexical Semantics, CLSW 2023, held in Singapore, during May 19–21, 2023. The 61 full papers and 15 short papers included in this book were carefully reviewed and selected from 215 submissions. They are organized in the following topical sections: lexical semantics and related fields, including Theoretical Linguistics, Applied Linguistics, Computational Linguistics, Computational Lexicography, Phycological Linguistics, and Sociological linguistics.

Computational linguistics --- Artificial intelligence. --- Image processing --- Computer vision. --- Computer networks. --- Artificial Intelligence. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer Communication Networks. --- Digital techniques.