Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data

Zhu X, Schleif F-M, Hammer B (2014)
Pattern Recognition Letters 49: 138-145.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Erscheinungsjahr
2014
Zeitschriftentitel
Pattern Recognition Letters
Band
49
Seite(n)
138-145
ISSN
0167-8655
Page URI
https://pub.uni-bielefeld.de/record/2672504

Zitieren

Zhu X, Schleif F-M, Hammer B. Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters. 2014;49:138-145.
Zhu, X., Schleif, F. - M., & Hammer, B. (2014). Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters, 49, 138-145. doi:10.1016/j.patrec.2014.07.009
Zhu, X., Schleif, F. - M., and Hammer, B. (2014). Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters 49, 138-145.
Zhu, X., Schleif, F.-M., & Hammer, B., 2014. Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters, 49, p 138-145.
X. Zhu, F.-M. Schleif, and B. Hammer, “Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data”, Pattern Recognition Letters, vol. 49, 2014, pp. 138-145.
Zhu, X., Schleif, F.-M., Hammer, B.: Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters. 49, 138-145 (2014).
Zhu, Xibin, Schleif, Frank-Michael, and Hammer, Barbara. “Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data”. Pattern Recognition Letters 49 (2014): 138-145.