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Invariants for Pattern Recognition and Classification hardcover Used - Very Go

Description: Invariants for Pattern Recognition and Classification hardcover Publisher: World Scientific Publishing Company Jan 2 2001 Edition: ISBN: 9789810242787 Description: Used - Very Good Very Good condition. Very Good dust jacket. Volume 42. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner’s name, short gifter’s inscription or light stamp. Internal SKU: K14P-00382 Wonder Bookhas been in business since 1980 and online since 1997! We have three brick and mortar stores in Baltimore/DC region and over 2 million books online. We have served millions of happy customers. Our merchandise is 100% guaranteed! Simply return the item within 30 days of purchase for a refund. Most of our items ship within one business day via DHL or USPS. Standard Continental U.S. Shipments will arrive within 3-7 business days, Priority 2-6. Check out our multiple item shipping discounts. Check out our other listings! We have over 150,000 additional titles in books/movies/music categories and we are adding 100''s of titles every day so please subscribe to our listings.

Price: 50.8 USD

Location: Frederick, Maryland

End Time: 2024-11-15T06:42:42.000Z

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Invariants for Pattern Recognition and Classification  hardcover Used - Very Go

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Restocking Fee: No

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

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Book Title: Invariants for Pattern Recognition and Classification

Number of Pages: 250 Pages

Language: English

Publication Name: Invariants for Pattern Recognition and Classification

Publisher: World Industries Scientific Publishing Co Pte LTD

Publication Year: 2000

Item Height: 0.7 in

Subject: Intelligence (Ai) & Semantics, Computer Science, Computer Vision & Pattern Recognition

Item Weight: 17.3 Oz

Type: Textbook

Author: Marcos A. Rodrigues

Item Length: 8.8 in

Subject Area: Computers

Item Width: 6.3 in

Series: Series in Machine Perception and Artificial Intelligence

Format: Hardcover

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