Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment, Xiaochun Wang; Xiali Wang; Don Mitchell Wilkes
Автор: Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin Название: RSS-AoA Based Target Localization and Tracking in Wireless Sensor Networks ISBN: 8793519885 ISBN-13(EAN): 9788793519886 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements.
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: 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: 6707.00 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.
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.
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