Pattern Recognition and Artificial Intelligence: International Conference, Icprai 2020, Zhongshan, China, October 19-23, 2020, Proceedings, Lu Yue, Vincent Nicole, Yuen Pong Chi
Описание: This two-volume set LNCS 12239-12240 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020.
Описание: The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020.
Описание: This two-volume set LNCS 12239-12240 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020.
Описание: Constitutes the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. This book includes such topics as robot control, cognitive robotics, rehabilitation robotics, health care and artificial limb, robot learning, and robot vision.
Автор: Pablo Duboue Название: The Art of Feature Engineering: Essentials for Machine Learning ISBN: 1108709389 ISBN-13(EAN): 9781108709385 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.
Описание: Presents research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. The book highlights a wide range of topics such as video segmentation, object recognition, and 3D modelling.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Two Algorithms for Additive and Fair Division of Mixed Manna.- Dynamic Play via Suit Factorization Search in Skat.- Dynamic Channel and Layer Gating in Convolutional Neural Network.- Contour-based Segmentation of Historical Printings.- Hybrid Ranking and Regression for Algorithm Selection.- Conditional Reasoning and Relevance.- HTN Plan Repair via Model Transformation.- Nonmonotonic Inferences with Qualitative Conditionals Based on Preferred Structures on Worlds.- Positive Free Higher-Order Logic and its Automation via a Semantical Embedding.- Low-Rank Subspace Override for Unsupervised Domain Adaptation.- Expressive Explanations of DNNs by Combining Concept Analysis with ILP.- Stable Resolving - A Randomized Local Search Heuristic for MaxSAT.- A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users.- Exploring the Effects of Role Design on Agent Learning.- Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation.- Multi-Agent Path Finding Modulo Theory with Continuous Movements and the Sum of Costs Objective.- Meta-Induction, Probability Aggregation, and Optimal Scoring.- Cones, Negation, and All That.- Swarm-based Cluster Analysis for Knowledge Discovery.- Draw with Me: Human-in-the-Loop for Image Restoration.- Reasonable Machines: A Research Manifesto.- A Heuristic Agent in Multi-Agent Path Finding Under Destination Uncertainty.- Earnings Prediction with Deep Leaning.- Integrating Keywords into BERT4Rec for Sequential Recommendation.- Modelling and Reasoning in Biomedical Applications with Qualitative Conditional Logic.- Conformal Rule-Based Multi-label Classification.- Optimizing Constraint Satisfaction Problems by Regularization for the Sample Case of the Warehouse Location Problem.- Fast Pathfinding in Knowledge Graphs Using Word Embeddings.- A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net.- Evaluation of Deep Learning Accelerators for Object Detection at the Edge.-Learning Choice Functions via Pareto-Embeddings.- Simulation-Based Validation of Robot Commands for Force-based Robot Motions.- Firefighter Virtual Reality Simulation for Personalized Stress Detection.- The AI Domain Definition Language (AIDDL) for Integrated Systems.
Описание: This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020.
Описание: This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020.
Описание: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Описание: In the lively, but desperate world of D.C.`s underbelly, filled with back-alley deals, gentrification clashes, and unexpected encounters between politicians and bottom-rung natives-all set against a soundscape of patois, street Spanish, and D.C. slang-a Black homeless man must hone his detective skills before he is punished for a brutal crime he didn`t commit.
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