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
core +3 more sources
A review of learning vector quantization classifiers [PDF]
Neural Computing and Applications, 2013 14 ...
Nova, David, Estevez, Pablo A.
openaire +6 more sources
Identifikasi Barcode pada Gambar yang Ditangkap Kamera Digital Menggunakan Metode JST
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Dewasa ini hampir setiap produk konsumen memiliki label barcode. Namun alat pembaca barcode jenis laser memiliki kelemahan karena tidak dapat mengenali barcode yang mengalami goresan atau noise.
Salman Aliaji, Agus Harjoko
doaj +1 more source
The Classification of Children Gadget Addiction: The Employment of Learning Vector Quantization 3
IT Journal Research and Development, 2020 The addiction of children to gadgets has a massive influence on their social growth. Thus, it is essential to note earlier on the addiction of children to such technologies.
Okfalisa Okfalisa +4 more
doaj +1 more source
Bolt: Accelerated Data Mining with Fast Vector Compression
, 2017 Vectors of data are at the heart of machine learning and data mining. Recently, vector quantization methods have shown great promise in reducing both the time and space costs of operating on vectors.
Blalock, Davis W, Guttag, John V
core +1 more source
Broad Absorption Line Quasar catalogues with Supervised Neural Networks [PDF]
, 2008 We have applied a Learning Vector Quantization (LVQ) algorithm to SDSS DR5 quasar spectra in order to create a large catalogue of broad absorption line quasars (BALQSOs).
Christian Knigge +4 more
core +1 more source
Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization
Foundations of Computing and Decision Sciences, 2014 .Classification is one of the most frequent tasks in machine learning. However, the variety of classification tasks as well as classifier methods is huge.
Kaden M. +5 more
doaj +1 more source
Cursive character recognition by learning vector quantization [PDF]
Pattern Recognition Letters, 2001 Summary: This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one a learning vector quantizer. The selected feature set was compared to Zernike polynomials using the same classifier.
CAMASTRA, Francesco, VINCIARELLI A.
openaire +2 more sources
On the use of self-organizing maps to accelerate vector quantization
, 2004 Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neighbor ones on a predefined grid.
Anderberg +11 more
core +4 more sources
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source