Review of Pattern Recognizition

AI Magazine

Pattern Recognition (New York: John Wiley and Sons, 1987, 144 pages, ISBN 0-471-61120-4) by Mike James is a concise survey of the practice of image recognition.


756

AI Magazine

You are cordially invited to become a member of the AI Community's principal scientific society: Both these facts run counter to other connectionist models but easily fit SDM. Sparse Distributed Memory will be of interest to anyone doing research in neural models or brain physiology. As the theory is refined, the book will also be of interest to those trying to find applications for neural models. Finally, it will be fascinating to anyone who is even slightly curious about human intelligence and how it might arise from the brain. Terry Rooker is a graduate student at the Oregon Graduate Institute.


Sparse Distributed Memory

AI Magazine

Restricting the number of potential readers is unfortunate because an interdisciplinary view of the world around us must be developed. This book should have been written to show a scientist with a good mathematics background how to do modeling and simulation. Scientific research needs more people trained in system concepts, people trained to understand and apply the Weltanschauung of system theory. Indeed, the recent recommendation for science education that came out of the Science for All Americans study, sponsored by the American Association for the Advancement of Science, emphasized an interdisciplinary approach to scientific concepts. By limiting the technical accessibility of this book, the author has not helped us address the need for training scientists in the use of interdisciplinary tools in scientific research.


Review of Sparse Distributed Memory

AI Magazine

"Sparse Distributed Memory (Cambridge, Mass.: MIT Press, 1988, 155 pages, $24.95, ISBN 0-262-11132-2) is an interesting little book in which Pentii Kanerva describes a fascinating theory of human memory.


Grand Challenge: Unified Visual Data Representation

@machinelearnbot

All creatures have the ability to sense the surrounding world, but in various ways and degrees. You might envy the bloodhound's exceptional nose, but humans possess visual prowess that (although it doesn't match the eagle's eye in distance) is unsurpassed in the ability to detect and make sense of patterns. Our eyes and brains work as a team to discover meaningful patterns that help us make sense of the world [1]. Digital computers take input in direct quantitative form constructed from digits. Human extract most of quantitative information from 3D visual environment: distances between observable objects, sizes of objects, colors intensity and hue, proximity, similarity, symmetry … "A striking fact about human cognition is that we like to process quantitative information in graphic form" [2].