Results 111 to 120 of about 9,834 (275)

A NEW CLASSIFICATION ALGORITHM: OPTIMALLY GENERALIZED LEARNING VECTOR QUANTIZATION (OGLVQ)

, 2017
We present a new Generalized Learning Vector Quantization classifier called Optimally Generalized Learning Vector Quantization based on a novel weight-update rule for learning labeled samples. The algorithm attains stable prototype/weight vector dynamics
Temel, Turgay, Turgay Temel
core   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Pengenalan Tingkat Kematangan Tomat Berdasarkan Citra Warna Pada Studi Kasus Pembangunan Sistem Pemilihan Otomatis

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017
Proses pemilihan tomat yang dilakukan manusia relatif kurang konsisten untuk menentukan tomat yang matang dan belum matang. Hal ini disebabkan beberapa faktor seperti kelelahan manusia, keragaman visual, dan perbedaan persepsi setiap manusia.
Mochamad Angga Anggriawan, Muhammad Ichwan, Dina Budhi Utami   +2 more
doaj   +1 more source

A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019. [PDF]

Neural Comput Appl, 2022
Vellido A, Angulo C, Gibert K.
europepmc   +1 more source

Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display

Journal of the Society for Information Display, EarlyView.
The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley   +1 more source

A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network

Energies, 2012
Driving patterns exert an important influence on the fuel economy of vehicles, especially hybrid electric vehicles. This paper aims to build a method to identify driving patterns with enough accuracy and less sampling time compared than other driving ...
Xiaowei Zhang, Chao Sun, Hongwen He
doaj   +1 more source

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner, Ute Goerke, Eze Ahanonu, Kevin Johnson, Vibhas Deshpande, Holden H. Wu, Maria I. Altbach, Ali Bilgin   +7 more
wiley   +1 more source

Fourier Shell Analysis: k‐Space‐Based Metrics for Assessing Super‐Resolution in 4D Flow MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To support the emerging field of super‐resolution (SR) in 4D flow MRI by proposing Fourier shell analysis to disentangle resolution enhancement from denoising effects during evaluation. Methods A thoracic aortic 4D flow MRI dataset was synthesized with various degrees of stenosis, providing ground truth flow fields generated using ...
Luuk Jacobs, Pietro Dirix, Sebastian Kozerke   +2 more
wiley   +1 more source

IDENTIFIKASI PENURUNAN KONDISI FUNGSI ORGAN GINJAL MELALUI IRIS MATA MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN LEARNING VECTOR QUANTIZATION

Techno.Com, 2014
Salah satu alternatif untuk mendeteksi adanya penurunan kondisi fungsi organ ginjal dalam tubuh manusia adalah dengan menggunakan iridologi. Biasanya analisa iridologi dilakukan secara manual oleh pakar iridologi.
Ariya Pramana Putra, T. Sutojo
doaj  

Distance Based Concept Drift Detection using Generalized Learning Vector Quantization and Generalized Matrix Learning Vector Quantization

, 2020
Data streams change their statistical behaviour over the time. These changes can occur gradually or abruptly with unforeseen reasons, which may effect the expected outcome. Thus it is important to detect concept drift as soon as it occurs. In this thesis
Nawaz, Ghaziafa
core