Results 151 to 160 of about 61,624 (324)

Learning Vector Quantization-Based Fuzzy Rules Oversampling Method [PDF]

Jiqiang Chen, Ranran Han, Dongqing Zhang, Litao Ma   +3 more
openalex   +1 more source

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings [PDF]

, 2022
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie   +12 more
openalex   +1 more source

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

SISTEM VERIFIKASI WAJAH MENGGUNAKAN JARINGAN SARAF TIRUAN LEARNING VECTOR QUANTIZATION

Jurnal Informatika, 2012
Verifikasi wajah merupakan salah satu teknologi biometrika yang menjadi perhatian para peneliti. Banyak sekali sistem aplikasi yang berbasis kepada verifikasi wajah misalnya: akses pintu, akses mesin ATM, sistem presensi kehadiran, dll.
Abdul Fadlil, Surya Yeki
doaj  

An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

International Journal of Applied Mathematics and Computer Science
When constructing a new data classification algorithm, relevant quality indices such as classification accuracy (ACC) or the area under the receiver operating characteristic curve (AUC) should be investigated. End-users of these algorithms are interested
Czmil Sylwester, Kluska Jacek, Czmil Anna   +2 more
doaj   +1 more source

Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm. [PDF]

Int J Environ Res Public Health, 2019
Boniecki P, Idzior-Haufa M, Pilarska AA, Pilarski K, Kolasa-Wiecek A.   +4 more
europepmc   +1 more source

Voltage Problem Location Classification Using Performance of Least Squares Support Vector Machine LS-SVM and Learning Vector Quantization LVQ

, 2014
M. Khaled Abduesslam, Mohammed Ali, Basher H. Alsdai, Muhammad Nizam Inayati   +3 more
openalex   +1 more source

Transfer learning based entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model for multiclass text classification and generation

, 2022
Shivani Malhotra
openalex   +1 more source

Federated Multi‐Source Data Fusion for Semi‐Supervised Fault Detection in District Heating Substations

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT Fault detection in district heating (DH) substations is critical for energy efficiency and reliability. However, it is challenged by scarce fault labels, low‐frequency data, privacy concerns, and battery‐constrained gateways. We propose a novel hybrid semi‐supervised federated domain adaptation architecture for fault detection in DH.
Jonne van Dreven, Sadi Alawadi, Abbas Cheddad, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt   +5 more
wiley   +1 more source

Round Randomized Learning Vector Quantization for Brain Tumor Imaging. [PDF]

Comput Math Methods Med, 2016
Sheikh Abdullah SN, Bohani FA, Nayef BH, Nayef BH, Sahran S, Al Akash O, Iqbal Hussain R, Ismail F.   +7 more
europepmc   +1 more source