Results 11 to 20 of about 60,295 (249)
Distance Learning in Discriminative Vector Quantization [PDF]
Neural Computation, 2009 Discriminative vector quantization schemes such as learning vector quantization (LVQ) and extensions thereof offer efficient and intuitive classifiers based on the representation of classes by prototypes. The original methods, however, rely on the Euclidean distance corresponding to the assumption that the data can be represented by isotropic clusters.
Schneider, P. +2 more
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Prediksi Jenis Cacing Nematoda Usus Yang Menginfeksi Siswa Dengan Menggunakan Metoda LVQ
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 2017 Abstrak-Pada saat ini, Jaringan Syaraf Tiruan (JST) telah banyak menjadi objek penelitian yang menarik, karena penerapannya sangat potensial dalam berbagai bidang sains, salah satu penerapannya didalam memprediksi penyakit. Penelitian ini bertujuan untuk
Erni Rouza
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Identification of Formaldehyde Bananas using Learning Vector Quantization
Indonesian Journal of Information Systems, 2021 Bananas that ripen with chemical process or do not ripen naturally usually, this can be recognized by the presence of blackish patches on the surface of the skin.
Rahmat Musa, Mutaqin Akbar
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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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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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Nochmals zu den Wechselfällen rhodischer Politik zu Beginn des IV. Jahrhunderts v. Chr. [PDF]
, 1984 This thesis explores the possibilities of avoiding the issues generally associated with compression of noisy imagery, through the usage of vector quantization.
Funke, Peter
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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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Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition [PDF]
, 2009 Learning Vector Quantization (LVQ) is a popular method for multiclass classification. Several variants of LVQ have been developed recently, of which Robust Soft Learning Vector Quantization (RSLVQ) is a promising one.
Biehl, Michael, de Vries, Gert-Jan
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Magnification Control in Self-Organizing Maps and Neural Gas [PDF]
, 2006 We consider different ways to control the magnification in self-organizing maps (SOM) and neural gas (NG). Starting from early approaches of magnification control in vector quantization, we then concentrate on different approaches for SOM and NG. We show
Brause R. +4 more
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Differential privacy for learning vector quantization [PDF]
Neurocomputing, 2019 Abstract Prototype-based machine learning methods such as learning vector quantisation (LVQ) offer flexible classification tools, which represent a classification in terms of typical prototypes. This representation leads to a particularly intuitive classification scheme, since prototypes can be inspected by a human partner in the same way as data ...
Brinkrolf, Johannes +2 more
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