Robert J. Schalkoff Libros

This textbook is for an advanced undergraduate or postgraduate course in artificial intelligence. No previous experience in this area is assumed. The text emphasizes the conceptual approach, while underlying mathematical and conceptual fundamentals are stressed to prepare students to participate in "hands-on" development of AI systems. Current topics of interest to the engineering community are discussed, including parallel decomposition of AI algorithms, corresponding parallel dedicated processing hardware, temporal reasoning, constant satisfaction and rule based implementations.

An introduction to computer vision and associated digital processing functions. Reviews all aspects of image processing, pattern recognition, geometric optics, and artificial intelligence that are important to solving computer vision problems. Also provides an introduction to digital image acquisition and display, hardware, and techniques. Discusses special computer architectures for computer vision, new neural network applications, edge detection strategies, and segmentation.