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Jurnal Sarjana Teknik Informatika, 2019 Materi Learning vector quantization pada mata kuliah jaringan saraf tiruan bagi sebagian mahasiswa dirasa sulit untuk dipahami. Materi learning vector quantization dirasa sulit oleh mahasiswa pada soal penyelesaian langkah-langkah menentukan pengkodean ...
Cahyoko Hariya Pamilu, Ardi Pujiyanta
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Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ [PDF]
, 2006 We consider images of boar spermatozoa obtained with an optical phase-contrast microscope. Our goal is to automatically classify single sperm cells as acrosome-intact (class 1) or acrosome-damaged (class 2).
Petkov, Nicolai +8 more
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USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS
Indonesian Journal of Tropical and Infectious Disease, 2015 In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally the sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and ...
Endah Purwanti, Prihartini Widiyanti
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ONLINE KERNEL AMGLVQ FOR ARRHYTHMIA HEARBEATS CLASSIFICATION
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2016 This study proposes Online Kernel Adaptive Multilayer Generalized Learning Vector Quantization (KAMGLVQ) for handling imbalanced data sets. KAMGLVQ is extended version of AMGLVQ that used kernel function to handling non-linear classification problems ...
Elly Matul Imah, R. Sulaiman
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PREDIKSI TERJANGKITNYA PENYAKIT JANTUNG DENGAN METODE LEARNING VECTOR QUANTIZATION
Media Statistika, 2010 Learning Vector Quantization (LVQ) is a method that train the competitives layer with supervised. The competitives layer will learn automatically to classify the input vector given.
Nurul Hidayati, Budi Warsito
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Transfer Learning : Offset-Learning for Learning Vector Quantization [PDF]
, 2022 In Machine Learning, Learning Vector Quantization(LVQ) is well known as supervised learning method. LVQ has been studied to generate optimal reference vectors because of its simple and fast learning algorithm [12].
Devineni, Tejaswini
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Introduction to vector quantization and its applications for numerics*
ESAIM: Proceedings and Surveys, 2015 We present an introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining. Both theoretical results on the quantization rate of a
Pagès Gilles
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Improving learning vector quantization using data reduction
IJAIN (International Journal of Advances in Intelligent Informatics), 2019 Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and classifies them into the correct classes. The amount of
Pande Nyoman Ariyuda Semadi +1 more
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Relevance learning in unsupervised vector quantization based on divergences
, 2022 S.90-100We propose relevance learning for unsupervised online vector quantization algorithm based on stochastic gradient descent learning according to the given vector quantization cost function.
Backhaus, A. +5 more
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Learning from low precision samples
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 With advances in edge applications in industry and healthcare, machine learning models are increasingly trained on the edge. However, storage and memory infrastructure at the edge are often primitive, due to cost and real-estate constraints.
Ji In Choi +5 more
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