Results 31 to 40 of about 9,834 (275)
Local feature weighting in nearest prototype classification [PDF]
The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro +2 more
core +1 more source
Background: In 2020, the World Health Organization (WHO) estimated that 466 million people worldwide are affected by hearing loss, with 34 million of them being children.
Cynthia Hayat, Iwan Aang Soenandi
doaj +1 more source
Improved batch fuzzy learning vector quantization for image compression
In this paper, we develop a batch fuzzy learning vector quantization algorithm that attempts to solve certain problems related to the implementation of fuzzy clustering in image compression.
Tsekouras, G.E. +4 more
core +1 more source
Average Competitive Learning Vector Quantization [PDF]
We propose a new algorithm for vector quantization:Average Competitive Learning Vector Quantization (ACLVQ). It is a rather simple modification of the classical Competitive Learning Vector Quantization (CLVQ). This new formulation give us similar results for the quantization error to those obtained by the CLVQ and reduce considerably the computation ...
Luis A. Salomón +2 more
openaire +1 more source
Identifikasi Barcode pada Gambar yang Ditangkap Kamera Digital Menggunakan Metode JST
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
Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization
.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
Penerapan Metode Learning Vector Quantization (LVQ) untuk Mendeteksi Penyalahgunaan Narkoba
Dalam penelitian ini, metode LVQ akan diterapkan untuk mendeteksi penyalahgunaan narkoba berdasarkan gejala-gejala yang dialami seseorang. Untuk mendapatkan tingkat akurasi terbaik, maka data pelatihan dan data pengujian dibagi ke dalam tiga skema ...
Berny Pebo Tomasouw +2 more
doaj +1 more source
Noise Fuzzy Learning Vector Quantization
Fuzzy learning vector quantization (FLVQ) benefits from using the membership values coming from fuzzy c-means (FCM) as learning rates and it overcomes several problems of learning vector quantization (LVQ). However, FLVQ is sensitive to noises because it
Xiao Hong Wu, Jie Wen Zhao, Bin Wu
core +1 more source
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
The Classification of Children Gadget Addiction: The Employment of Learning Vector Quantization 3
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

