Order Total (1 Item Items):
Shipping Destination:
Bayesian Multiple Target Track by Stone Lawrence (7 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (7)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (5)
- As New, Fine or Near Fine (No further results match this refinement)
- Very Good or Good (2)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (7)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (2)
- Not Print on Demand (7)
Language (1)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
Seller Location
Seller Rating
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
Condition: New. SUPER FAST SHIPPING.
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
US$ 187.77
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
Condition: New.
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House on Demand, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 223.85
Convert currencyUS$ 16.16 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
-
Bayesian Multiple Target Track 2nd Ed
Published by Artech House Publishers Jan 2014, 2014
ISBN 10: 1608075532 ISBN 13: 9781608075539
Language: English
US$ 308.90
Convert currencyUS$ 74.00 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters.
