Machine Learning-Based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment, Wang Xiaochun, Wang Xiali, Wilkes Don Mitchell
Автор: Jos? Ramiro Mart?nez-de Dios; Alberto de San Berna Название: Cluster-based Localization and Tracking in Ubiquitous Computing Systems ISBN: 3662547597 ISBN-13(EAN): 9783662547595 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Localization and tracking are key functionalities in ubiquitous computing systems and techniques. This book briefly summarizes the current state of the art in localization and tracking in ubiquitous computing systems focusing on cluster-based schemes.
Описание: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
Автор: Shibiao Wan,Man-Wai Mak Название: Machine Learning for Protein Subcellular Localization Prediction ISBN: 1501510487 ISBN-13(EAN): 9781501510489 Издательство: Walter de Gruyter Цена: 13008.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.
Описание: Investigates the complexities of the theory of probabilistic localisation and mapping of mobile robots as well as providing the most current and concrete developments. This reference source aims to be useful for practitioners, graduate and postgraduate students, and active researchers alike.
Автор: Yang, Qiang (hong Kong University Of Science And Technology) Zhang, Yu (hong Kong University Of Science And Technology) Dai, Wenyuan Pan, Sinno Jialin Название: Transfer learning ISBN: 1107016908 ISBN-13(EAN): 9781107016903 Издательство: Cambridge Academ Рейтинг: Цена: 9186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Transfer learning deals with how machine learning and artificial intelligence systems can quickly adapt to new tasks and environments. This in-depth tutorial for students, researchers, and developers covers foundations, plus applications such as text mining, inference on social networks, recommendation, multimedia, and cyber-physical systems.
Автор: Amitoj Singh, Munish Kumar, Virender Kadyan Название: Language and Speech Recognition for Human-Computer Interaction ISBN: 1799813908 ISBN-13(EAN): 9781799813903 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 20513.00 р. Наличие на складе: Нет в наличии.
Описание: In today's advancing society, the study of machine learning and artificial intelligence has been a popular area of research across the globe. One aspect of these technological developments is understanding the relationship between computers and human language. Helping computers understand natural linguistics has become a rapidly developing research area, as professionals need advanced techniques in document analysis and recognition methodologies. Understanding the fundamentals and applications of these processing skills is vital. Language and Speech Recognition for Human-Computer Interaction is a collection of innovative research on the methods and applications of natural language processing techniques (NLP) within computer science and programming. Along with discussing the current and future scope of NLP, this book highlights topics including handwriting recognition, acoustic analysis, and forensic document examination. This book is ideally designed for IT specialists, academicians, researchers, scholars, industry professionals, and students seeking current research on the advancement of computational linguistics.
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