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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground...

by Mason, James Eric; TraorΓ©, Issa;... | PB | VeryGood
Condition:
Very Good
β€œMay have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Read moreabout condition
Price:
US $50.99
ApproximatelyC $69.77
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eBay item number:145295766487
Last updated on May 30, 2024 09:28:47 EDTView all revisionsView all revisions

Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. 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
β€œMay have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ...
Binding
Paperback
Weight
0 lbs
Product Group
Book
IsTextBook
No
ISBN
9783319804866
Book Title
Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Item Length
9.2 in
Publisher
Springer International Publishing A&G
Publication Year
2018
Format
Trade Paperback
Language
English
Illustrator
Yes
Item Height
0.6 in
Author
James Eric Mason, Issa TraorΓ©, Isaac Woungang
Genre
Technology & Engineering, Computers, Science
Topic
Signals & Signal Processing, Computer Vision & Pattern Recognition, Physics / General
Item Width
6.1 in
Item Weight
16 Oz
Number of Pages
Xxxiv, 223 Pages

About this product

Product Information

Introduction.- Background.- Experimental Design and Dataset.- Feature Extraction.-Normalization.- Classification.- Measured Performance.- Experimental Analysis.- Conclusion.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319804863
ISBN-13
9783319804866
eBay Product ID (ePID)
21038543946

Product Key Features

Book Title
Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Author
James Eric Mason, Issa TraorΓ©, Isaac Woungang
Format
Trade Paperback
Language
English
Topic
Signals & Signal Processing, Computer Vision & Pattern Recognition, Physics / General
Publication Year
2018
Illustrator
Yes
Genre
Technology & Engineering, Computers, Science
Number of Pages
Xxxiv, 223 Pages

Dimensions

Item Length
9.2 in
Item Height
0.6 in
Item Width
6.1 in
Item Weight
16 Oz

Additional Product Features

Intended Audience
Trade
Number of Volumes
1 Vol.
Lc Classification Number
Tk5102.9
Table of Content
Introduction.- Background.- Experimental Design and Dataset.- Feature Extraction.-Normalization.- Classification.- Measured Performance.- Experimental Analysis.- Conclusion.
Copyright Date
2016

Item description from the seller

ThriftBooks

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πŸ† SUPER STAR 🀩 AMAZING PHOTOS 🎯 ACCURATE DESCRIPTION ✏️ GENUINE PRODUCTS πŸ’Ž HIGH QUALITY 🍯 SUPER PRICES πŸ’° EASY TO WORK WITH 🍰 ECONOMY HANDLING ⏱️ FAST SHIPPING πŸš€ BUBBLE PACKAGE πŸ“¦ ARRIVED WITHIN DAYS 🌎 EXCEPTIONAL COMMUNICATION πŸŽ™οΈ OUTSTANDING CUSTOMER SERVICE πŸ›ŽοΈ GREAT SENSE OF HUMOR 🍿 TOTAL ASSET TO THE EBAY-ECO SYSTEM πŸ₯‡ SAVED SELLER 🎱 PROMT REPLY FOR RETURNS 🎯 WOULD BUY FROM AGAIN 🧲 UNDER PROMISES OVER DELIVERS ⛳️ MADE ME VERY HAPPY 🌈 LEFT POSITIVE FEEDBACK 🌼 THANK YOU! πŸ˜‡ A+++
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Dvd arrived quickly and well packaged and taken care of. The item was listed as acceptable and met all of my needs but here's a quick description of what I got: Some wear is visible on the plastic sleeve on the outside of the case. The inside leaflet was still there! The disk has about 3 very notable scratches, although none are bigger than about 2 centimeters. Little to no grime anywhere on the product. Great service!
r***o (278)- Feedback left by buyer.
Past month
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Just received my order/Package and it was just as listed. There's no problems or concerns with this order and I look forward to doing more business with this company. Again Thanks For All Your Time And Help Sincerely Lawrence Lee Stratch Jr

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