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Softcover - 9789811095153
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Beschreibung
This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 04. November 2016 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 588 Gramm |
| Format | Hardcover |
| ISBN-13 | 9789811020551 |
| Auflage | 1st ed. 2016 |
| Seiten | 266 |
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