- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Bielefeld, Universität Bielefeld, Diss., 2015
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Bielefeld
- (wer)
-
Universitätsbibliothek Bielefeld
- (wann)
-
2016
- Urheber
- URN
-
urn:nbn:de:hbz:361-29020658
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Hofmann, Daniela
- Universitätsbibliothek Bielefeld
Entstanden
- 2016
Ähnliche Objekte (12)
Matrix learning in learning vector quantization
![DSLVQ : [distinction sensitive learning vector quantization]](/assets/placeholder/searchResultMediaNoDigitisedMedia.png)
DSLVQ : [distinction sensitive learning vector quantization]
Hankel matrices for use in Learning Vector Quantization
Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Quantum Computing for Efficient Learning in Prototype-based Vector Quantization
Learning vector quantization : generalization ability and dynamics of competing prototypes
Data Selection for Hand-eye Calibration: A Vector Quantization Approach
Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity
Matrix adaptation in discriminative vector quantization
Erweiterung von Generalized [Relevance|Matrix] LearningVector Quantization zur Anwendung auf funktionale Daten
Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models
Optimal vector quantization in terms of Wasserstein distance
Matrix learning in learning vector quantization
DSLVQ : [distinction sensitive learning vector quantization]
Hankel matrices for use in Learning Vector Quantization
Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Quantum Computing for Efficient Learning in Prototype-based Vector Quantization
Learning vector quantization : generalization ability and dynamics of competing prototypes
Data Selection for Hand-eye Calibration: A Vector Quantization Approach
Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity
Matrix adaptation in discriminative vector quantization
Erweiterung von Generalized [Relevance|Matrix] LearningVector Quantization zur Anwendung auf funktionale Daten
Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models
Optimal vector quantization in terms of Wasserstein distance
Matrix learning in learning vector quantization
DSLVQ : [distinction sensitive learning vector quantization]
Hankel matrices for use in Learning Vector Quantization
Learning Vector Quantization: generalization ability and dynamics of competing prototypes
Quantum Computing for Efficient Learning in Prototype-based Vector Quantization
Learning vector quantization : generalization ability and dynamics of competing prototypes
Data Selection for Hand-eye Calibration: A Vector Quantization Approach
Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity
Matrix adaptation in discriminative vector quantization
Erweiterung von Generalized [Relevance|Matrix] LearningVector Quantization zur Anwendung auf funktionale Daten
Integration of Auxiliary Data Knowledge in Prototype Based Vector Quantization and Classification Models