Results 51 to 60 of about 61,624 (324)

Ordinal regression based on learning vector quantization [PDF]

Neural Networks, 2017
Recently, ordinal regression, which predicts categories of ordinal scale, has received considerable attention. In this paper, we propose a new approach to solve ordinal regression problems within the learning vector quantization framework. It extends the previous approach termed ordinal generalized matrix learning vector quantization with a more ...
Tang, Fengzhen, Tiňo, Peter
openaire   +3 more sources

Identification of Bacilli Bacteria in Acute Respiratory Infection (ARI) using Learning Vector Quantization [PDF]

, 2022
Zilvanhisna Emka Fitri, Lalitya Nindita Sahenda, Pramuditha Shinta Dewi Puspitasari, Arizal Mujibtamala Nanda Imron   +3 more
openalex   +1 more source

Multifunctional Programmable Transmissive Metasurface with Phase and Amplitude Manipulation Capability

Advanced Science, EarlyView.
This work provides a multifunctional programmable transmissive metasurface with phase and amplitude manipulation capability in the sub‐6G band. By applying different coding strategies, the proposed metasurface can realize vortex beam generation, holographic imaging under phase coding mode, and multi‐beam forming in phase‐amplitude joint coding mode ...
Hao Tian Shi, Rui Yuan Wu, Shi He, Xue Yun Guo, Xiao Qing Chen, Yi Ning Zheng, Bing Bing Zhu, Lei Zhang, Tie Jun Cui   +8 more
wiley   +1 more source

MEASUREMENT OF CLASSIFICATION PERFORMANCE WITH THE LEARNING VECTOR QUANTIZATION METHOD ON COVID-19 VACCINATION DATA AT THE PARUMPANAI HEALTH CENTER

Jurnal Matematika UNAND
In the midst of the COVID-19 pandemic, various countries are always trying their best to restore global stability. One effective way is the discovery of several vaccines to prevent transmission of the virus.
ADHIYAKSA PRANANDA, Siswanto Siswanto, Sri Astuti Thamrin, A. Muh. Amil Siddik   +3 more
doaj   +1 more source

KLASIFIKASI MUTU JERUK NIPIS DENGAN METODE LEARNING VECTOR QUANTIZATION (LVQ)

Rekayasa, 2015
Pemanfaatan buah jeruk nipis sudah lama dikenal oleh masyarakat Indonesia dan memiliki nilai ekonomi yang tinggi. Harga buah jeruk nipis ditentukan oleh mutu yang didasarkan pada tingkat ketuaan dan kematangan.
Ahmad Sahru Romadhon, Vivi Tri Widyaningrum   +1 more
doaj   +1 more source

Application of Quantum Genetic Optimization of LVQ Neural Network in Smart City Traffic Network Prediction

IEEE Access, 2020
Accurate prediction of traffic flow in urban networks is of great significance for smart city management. A short-term traffic flow prediction algorithm of Quantum Genetic Algorithm - Learning Vector Quantization (QGA-LVQ) neural network is proposed to ...
Fuquan Zhang, Tsu-Yang Wu, Yiou Wang, Rui Xiong, Gangyi Ding, Peng Mei, Laiyang Liu   +6 more
doaj   +1 more source

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

Advanced Science, EarlyView.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh, Shi Guo, Yuhui Yang, Sholehin Juperi, Rui Yu, Xiangxin Gong, Jeremy Leong, Sung‐Gyu Lee, Qingyun Wu, Lay Kee Ang, Sang Hoon Chae   +10 more
wiley   +1 more source

Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System

ABUAD Journal of Engineering Research and Development
Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges ...
Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo   +4 more
doaj   +1 more source

Divergence-based classification in learning vector quantization [PDF]

Neurocomputing, 2011
We discuss the use of divergences in dissimilarity-based classification. Divergences can be employed whenever vectorial data consists of non-negative, potentially normalized features. This is, for instance, the case in spectral data or histograms. In particular, we introduce and study divergence based learning vector quantization (DLVQ). We derive cost
Mwebaze, E., Schneider, P., Schleif, Frank-Michael, Aduwo, J.R., Quinn, J.A., Haase, S., Villmann, T., Biehl, M.   +7 more
openaire   +2 more sources

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source