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Decision Forests for Computer Vision & Medical Image Analysis Paperback Book

fireau8
  • (1200)
  • Registered as a private seller
    Consumer protection regulations resulting from EU consumer law are therefore not applicable. eBay buyer protection still applies to most purchases.
AU $175.00
Approximately£91.74
or Best Offer
Condition:
Good
Pre-owned, see photos for condition and read the description
Postage:
AU $70.00 (approx £36.70) Australia Post International Standard. See detailsfor postage
Located in: Mckinnon, Australia
Delivery:
Estimated between Wed, 26 Jun and Fri, 5 Jul to 43230
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the delivery service selected, the seller's delivery history and other factors. Delivery times may vary, especially during peak periods.
Returns:
30 days return. Buyer pays for return postage. See details- for more information about returns
Payments:
     

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eBay item number:226102016165

Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Pre-owned, see photos for condition and read the description”
MPN
Does not apply
##
Computer Science
Brand
Springer
Style
ABIS_BOOK
ISBN
9781447169628
Publication Year
2016
Type
Textbook
Format
Paperback
Language
English
Publication Name
Decision Forests for Computer Vision and Medical Image Analysis
Item Height
235mm
Author
Antonio Criminisi, J Shotton
Publisher
Springer London Ltd
Item Width
155mm
Subject
Computer Science
Item Weight
5913g
Number of Pages
368 Pages

Item description from the seller