Order Total (1 Item Items):
Shipping Destination:
Kachele Markus (23 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (23)
- 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 (21)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (23)
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 (8)
- Not Print on Demand (17)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
Seller Location
Seller Rating
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Condition: New.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Condition: As New. Unread book in perfect condition.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden, DE, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2020 ed.
-
Machine Learning Systems for Multimodal Affect Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Vieweg 2020-01-22, 2020
ISBN 10: 3658286733 ISBN 13: 9783658286736
Paperback. Condition: New.
-
Machine Learning Systems for Multimodal Affect Recognition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
Machine Learning Systems for Multimodal Affect Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Vieweg 2019-12, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
PF. Condition: New.
-
Condition: New. pp. 188.
-
Paperback. Condition: Brand New. 208 pages. 8.27x5.83x0.51 inches. In Stock.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
Kartoniert / Broschiert. Condition: New. A Study in NeuroinformaticsMarkus Kaechele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of .
-
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.
-
Taschenbuch. Condition: Neu. Machine Learning Systems for Multimodal Affect Recognition | Markus Kächele | Taschenbuch | xix | Englisch | 2019 | Springer | EAN 9783658286736 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden, DE, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
Paperback. Condition: New. 2020 ed.
-
Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
-
Condition: new. Questo è un articolo print on demand.
-
Paperback. Condition: Brand New. 208 pages. 8.27x5.83x0.51 inches. In Stock. This item is printed on demand.
-
Machine Learning Systems for Multimodal Affect Recognition
Language: English
Published by Springer Fachmedien Wiesbaden Dez 2019, 2019
ISBN 10: 3658286733 ISBN 13: 9783658286736
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons. 208 pp. Englisch.
-
Condition: New. Print on Demand pp. 188.
-
Condition: New. PRINT ON DEMAND pp. 188.
-
Machine Learning Systems for Multimodal Affect Recognition
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
