Machine Learning and Robot Perception

Descripción:

Presents research results in the area of machine learning and robot perception. Representing new ways of solving real-world problems, this book covers topics ranging from intelligent object detection to computer vision system and user modelling using dialogue strategies. It is useful to researchers, students, application engineers and scientists. Editor(s): Apolloni, Bruno; Ghosh, Ashish; Alpaslan, Ferda; Lakhmi, C Jain; Patnaik, Srikanta. Series: Studies in Computational Intelligence. Num Pages: 364 pages, 4 black & white tables, biography. BIC Classification: UY. Category: (P) Professional & Vocational. Dimension: 233 x 155 x 23. Weight in Grams: 780. . 2005. Hardback. . . . . N° de ref. del artículo V9783540265498

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Sinopsis:

De la contraportada:

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.