edited by H Freeman (Rutgers University)

More than ten years have passed since the untimely death of King-Sun Fu, one of the great pioneers in the field of pattern recognition. It was he, more than any other single individual, who nurtured the field during its formative years, and set the tone and tempo for others to follow. This book is dedicated to his memory.

This book contains 11 chapters by authors who knew King-Sun Fu and in varying degrees interacted with him. The articles span the field of pattern recognition in its current state, and cover such diverse topics as neural nets, covariance propagation, genetic selection, shape description, characteristic views for 3D modeling, face recognition, speech recognition, and machine translation. In tone they vary from the highly theoretical to the applied. Their presentation here is a testimonial, by his former colleagues and friends, to the pioneer who did so much to bring pattern recognition to its position as a recognized discipline world-wide.

• Pattern Category Assignment by Neural Networks and Nearest Neighbors Rule: A Synopsis and a Characterization (A Mitiche & J K Aggarwal)
• Pattern Recognition: An Approach to Turn Machine Translation Concepts into Creation and Reality (J T Tou)
• Learning in Navigation: Goal Finding in Graphs (P Cucka et al.)
• Subset Least Squares Method for Robust Speech and Image Processing (R L Kashyap & J-N Liaw)
• Shape Recognition by Human-Like Trial and Error Random Processes (M Nagao)
• 3-D Face Modeling and Its Applications (T S Huang & L-A Tang)
• Dimension Reduction, Feature Extraction and Interpretation of Data with Network Computing (Y-H Pao)
• Characteristic-View Modeling of Curved-Surface Solids (S Chen & H Freeman)
• Propagating Covariance in Computer Vision (R M Haralick)
• Shape Description by a Syntactic Pyramidal Approach (S Levialdi & L Cinque)
• Genetic Selection and Neural Modeling of Piecewise Linear-Classifiers (J Sklansky & M Vriesenga)