Machine Learning and Robot Perception (Studies in Computational Intelligence) (Studies in Computational Intelligence)

eBook Information

Machine Learning and Robot Perception (Studies in Computational Intelligence) (Studies in Computational Intelligence) ISBN  354026549X Release Date  01 October 2005 Category  Machine Learning Tags  robot,   "machine learning",   learning,   354026549x,   machine,   machine learning,   robo,   learn,   artificial intelligence,   perception,   reinforcement learning,   linux robot,   pattern recognition and machine learning,   robot builder,   support vector machine,   "learning",   This book @Amazon  View Tools Google Search Web flazx.com

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. Other books on Machine Learning Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China) Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität ... Data Analysis, and Knowledge Organization) Machine Learning in Document Analysis and Recognition (Studies in Computational Intelligence) Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications) Advances in Machine Learning Applications in Software Engineering Semi-Supervised Learning (Adaptive Computation and Machine Learning) Innovations in Machine Learning: Theory and Applications (Studies in Fuzziness and Soft Computing) Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) Machine Learning and Robot Perception (Studies in Computational Intelligence) (Studies in Computational Intelligence) Introduction to Machine Learning (Adaptive Computation and Machine Learning) Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) Machine Learning (Mcgraw-Hill International Edit) Machine Intelligence 14: Applied Machine Intelligence