This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).

Contents:

• Introduction: A Simple Complex in Artificial Intelligence and Machine Learning (B H Juang)
• An Introduction to Hidden Markov Models and Bayesian Networks (Z Chahramani)
• Multi-Lingual Machine Printed OCR (P Natarajan et al.)
• Using a Statistical Language Model to Improve the Performance of an HMM-Based Cursive Handwriting Recognition System (U-V Marti & H Bunke)
• A 2-D HMM Method for Offline Handwritten Character Recognition (H-S Park et al.)
• Data-Driven Design of HMM Topology for Online Handwriting Recognition (J J Lee et al.)
• Hidden Markov Models for Modeling and Recognizing Gesture Under Variation (A D Wilson & A F Bobick)
• Sentence Lipreading Using Hidden Markov Model with Integrated Grammar (K Yu et al.)
• Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model (H H Bui et al.)
• Shape Tracking and Production Using Hidden Markov Models (T Caelli et al.)
• An Integrated Approach to Shape and Color-Based Image Retrieval of Rotated Objects Using Hidden Markov Models (S Müller et al.)