Elsevier Science & Technology, Date: 1990. Hardcover. Good. Disclaimer:A copy that has been read, but remains in clean condition. All pages are intact, and the cover is intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include previous owner inscriptions. At ThriftBooks, our motto is: Read More, Spend Less.Dust jacket quality is not guaranteed. 1990. Elsevier Science & Technology ISBN 0122698517 9780122698514 [US]

ISBN10: 0122698517, ISBN13: 9780122698514, [publisher: Academic Press] Hardcover
[Houston, TX, U.S.A.] [Publication Year: 1990]

Academic Press. hardcover. Good. 6x1x9. Academic Press ISBN 0122698517 9780122698514 [US]

Boston: Academic Press, Date: 1990. Second edition. Hardcover. Near fine copy; Dr. Glaser had a spine label on the spine tail which we removed; removing it left adhesive residue and 2.5" of paper is torn on the cover and back cover; o/w cloth is clean; boards are free of bumps; pages are like new: clean, crisp, bright and free of marks and creases; binding is tight and square; a well-cared-for copy.. 591 pages : illustrations ; 24 cm. In English. || From the library of Nobel laureate Dr. Donald A. Glaser, inventor of the bubble chamber; search keyword DGLSR for more collectible titles from the extensive Glaser collection. Series: Computer science and scientific computing; Contents: Introduction -- Random vectors and their properties -- Hypothesis testing -- Parametric classifiers -- Parameter estimation -- Nonparametric density estimation -- Nonparametric classification and error estimation -- Successive parameter estimation -- Feature extraction and linear mapping for signal representation -- Feature extraction and linear mapping for classification -- Clustering. 1990. Academic Press ISBN 0122698517 9780122698514 [US]

Academic Press, Date: 1990-10-12. Hardcover. New. New. In shrink wrap. Looks like an interesting title! 1990. Academic Press ISBN 0122698517 9780122698514 [US]

Hardback. New. This revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. ISBN 0122698517 9780122698514 [GB]

St Louis, Missouri, U.S.A.: Academic Pr, Date: 1990. hardback in very good+ condition. 2nd edition. name on 1st blank page otherwise clean. 2nd Edition.. Hardcover. Very Good. 1990. St Louis, Missouri, U.S.A.: Academic Pr ISBN 0122698517 9780122698514 [US]