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{ "item_title" : "Machine Learning and Robot Perception", "item_author" : [" Bruno Apolloni", "Ashish Ghosh", "Ferda Alpaslan "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/54/026/549/354026549X_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Robot Perception|Bruno Apolloni

Machine Learning and Robot Perception

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Overview

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.

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Details

  • ISBN-13: 9783540265498
  • ISBN-10: 354026549X
  • Publisher: Springer
  • Publish Date: September 2005
  • Dimensions: 9.2 x 6.1 x 0.9 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 354

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