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Barbara Hammer
Researcher at Bielefeld University
Publications - 527
Citations - 9522
Barbara Hammer is an academic researcher from Bielefeld University. The author has contributed to research in topics: Learning vector quantization & Computer science. The author has an hindex of 41, co-authored 476 publications receiving 8369 citations. Previous affiliations of Barbara Hammer include Dongguan University of Technology & Leipzig University.
Papers
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Journal ArticleDOI
Generalized relevance learning vector quantization
Barbara Hammer,Thomas Villmann +1 more
TL;DR: A scheme for automatically pruning irrelevant input dimensions with weighting factors for the input dimensions which leads to a more powerful classifier and to an adaptive metric with little extra cost compared to standard GLVQ.
Journal ArticleDOI
Adaptive relevance matrices in learning vector quantization
TL;DR: A new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an efficient prototype-based classification algorithm, toward a general adaptive metric by introducing a full matrix of relevance factors in the distance measure.
Journal ArticleDOI
Incremental on-line learning: A review and comparison of state of the art algorithms
TL;DR: This work analyzes the key properties of eight popular incremental methods representing different algorithm classes and evaluates them with regards to their on-line classification error as well as to their behavior in the limit, facilitating the choice of the best method for a given application.
Proceedings Article
Incremental learning algorithms and applications
TL;DR: The concept of incremental learning is formalised, particular challenges which arise in this setting are discussed, and an overview about popular approaches, its theoretical foundations, and applications which emerged in the last years are given.