Daniela Hofmann
PEVZ-ID
13 Publikationen
-
2016 | Bielefelder E-Dissertation | PUB-ID: 2902065Learning vector quantization for proximity dataPUB | PDF
Hofmann, Daniela, Learning vector quantization for proximity data. (). Bielefeld, 2016 -
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2695196Efficient approximations of robust soft learning vector quantization for non-vectorial dataPUB | DOI | WoS
Hofmann, Daniela, Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing 147 (). , 2015 -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900320Valid interpretation of feature relevance for linear data mappingsPUB | PDF | DOI
Frenay, Benoit, Valid interpretation of feature relevance for linear data mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (). Piscataway, NJ, 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214Learning interpretable kernelized prototype-based modelsPUB | DOI | Download (ext.) | WoS
Hofmann, Daniela, Learning interpretable kernelized prototype-based models. Neurocomputing 141 (). , 2014 -
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2615730Learning vector quantization for (dis-)similaritiesPUB | DOI | WoS
Hammer, Barbara, Learning vector quantization for (dis-)similarities. NeuroComputing 131 (). , 2014 -
2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982102Efficient Approximations of Kernel Robust Soft LVQPUB | DOI
Hofmann, Daniela, Efficient Approximations of Kernel Robust Soft LVQ. Advances in Self-Organizing Maps (). Berlin, Heidelberg, 2013 -
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625199Sparse approximations for kernel learning vector quantizationPUB
Hofmann, Daniela, Sparse approximations for kernel learning vector quantization. ESANN (). , 2013 -
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982106Discriminative Dimensionality Reduction MappingsPUB | DOI
Gisbrecht, Andrej, Discriminative Dimensionality Reduction Mappings. Advances in Intelligent Data Analysis XI (). Berlin, Heidelberg, 2012 -
2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982107Kernel Robust Soft Learning Vector QuantizationPUB | DOI
Hofmann, Daniela, Kernel Robust Soft Learning Vector Quantization. Artificial Neural Networks in Pattern Recognition (). Berlin, Heidelberg, 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2671172Discriminative probabilistic prototype based models in kernel spacePUB
Hofmann, Daniela, Discriminative probabilistic prototype based models in kernel space. Workshop NC^2 2012 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625238Efficient Approximations of Kernel Robust Soft LVQPUB
Hofmann, Daniela, Efficient Approximations of Kernel Robust Soft LVQ. WSOM (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625247Discriminative Dimensionality Reduction MappingsPUB
Gisbrecht, Andrej, Discriminative Dimensionality Reduction Mappings. Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings 7619 (). , 2012 -
2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625254Kernel Robust Soft Learning Vector QuantizationPUB
Hofmann, Daniela, Kernel Robust Soft Learning Vector Quantization. Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings 7477 (). , 2012