Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data

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

Journal Article | Published | English

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