University of Groningen research database (University of Groningen / Centre for Information Technology) · 2006 · 11 citations · 3 references
Open access
Veterinary MedicineAnimal SciencesComputer ScienceComputer VisionMachine LearningSemen EvaluationImage Quality AssessmentImage QuantificationSemen AnalysisSemen Quality ControlSperm Morphology AssessmentAutomated Sperm Morphology AssessmentBoar AndrologyBoar Fertility AssessmentBoar Semen QualityBoar Semen TechnologyBoar Sperm MorphologyVector Quantization
Abstract. We apply Learning Vector Quantization (LVQ) in automated boar semen quality assessment. The classification of single boar sperm heads into healthy (normal) andnon-normal ones is based on grey-scale microscopic images only. Sample data was classified by veterinary experts and is used for training a system with a number of prototypes for each class. We apply as training schemes Kohonen’s LVQ1 and the variants Generalized LVQ (GLVQ) and Generalized Relevance LVQ (GRLVQ). We compare their performance and study the influence of the employed metric. 1
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Generalized Learning Vector Quantization
Atsushi Sato, Keiji Yamada · 1995 · 478 citations
Generalized relevance learning vector quantization
Barbara Hammer, Thomas Villmann · Neural Networks · 2002 · 425 citations