Results 71 to 80 of about 29,752 (189)

Clasificación de cáncer de mama con técnicas de análisis de la componente principal-Kernel PCA, algoritmos de máquina de vectores de soporte y regresión logística

Medisur, 2022
Fundamento: existen muchas herramientas computacionales para administrar imágenes y conjuntos de datos; reducir la dimensión de estos favorece el manejo de la información.Objetivo: reducir la dimensión de un conjunto de datos para un mejor manejo de la ...
Rosana Pirchio
doaj  

Kernel PCA for Feature . . .

, 2001
In this paper, we propose the application of the Kernel Principal Component Analysis (PCA) technique for feature selection in a high-dimensional feature space, where input variables are mapped by a Gaussian kernel.
Leonard J. Trejo, Andrzej Cichocki, Mark Girolami, Roman Rosipal   +3 more
core  

Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap

Sensors, 2011
Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj   +1 more source

Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds

Sensors, 2012
Hyperspectral imaging in the visible and near infrared (VIS-NIR) region was used to develop a novel method for discriminating different varieties of commodity maize seeds.
Xiaolei Zhang, Fei Liu, Yong He, Xiaoli Li   +3 more
doaj   +1 more source

Robust kernel distance multivariate control chart using support vector principles [PDF]

, 2012
It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular making distinctions between ...
Chinnam, R. B., Camci, Fatih, Ellis, R. D.   +2 more
core   +1 more source

A comparative classification framework using PCA and modified PCA with ensemble and kernel-based learning models for mangrove feature analysis [PDF]

BIO Web of Conferences
Hyperspectral image (HSI) classification remains challenging due to high spectral dimensionality, redundancy among bands, and limited labeled samples, particularly in high–spatial-resolution agricultural and coastal environments.
Saha Chowdhury Arpita, De Mukhopadhyay Keya, Abhishek Kumar   +2 more
doaj   +1 more source

Image fusion for dynamic contrast enhanced magnetic resonance imaging

, 2004
Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Saalbach, A, Olaf Gerstung, Gerstung, O., Leach, M.O., Twellmann Thorsten, Twellmann, Thorsten, Nattkemper, TW, Axel Saalbach, Tim W Nattkemper, Leach, Martin O, Gerstung Olaf, Twellmann, T Thorsten, Thorsten Twellmann, Gerstung, Olaf, Saalbach Axel, Saalbach, Axel, Leach Martin O, Gerstung, O, Nattkemper, T.W., Martin O Leach, Saalbach, A., Twellmann, T.   +23 more
core   +1 more source

Kernel principal component analysis-based water quality index modelling for coastal aquifers in Saudi Arabia

Scientific Reports
This study developed a novel Water Quality Index (WQI) using Kernel Principal Component Analysis (PCA) to assess groundwater quality (GWQ) in the coastal aquifers of Al-Qatif, Saudi Arabia.
Ali Aldrees, Abdulhayat M. Jibrin, Salisu Dan’azumi, Mohammad Al-Suwaiyan, Sani I. Abba, Zaher Mundher Yaseen   +5 more
doaj   +1 more source

Lung Cancer Detection Based on Kernel PCA-Convolution Neural Network Feature Extraction and Classification by Fast Deep Belief Neural Network in Disease Management Using Multimedia Data Sources. [PDF]

Comput Intell Neurosci, 2022
Jain DK, Lakshmi KM, Varma KP, Ramachandran M, Bharati S.   +4 more
europepmc   +1 more source

Kernel PCA for Image Compression

, 2006
Im Bereich des maschinellen Lernens haben sich kernelbasierte Methoden als sehr erfolgreich erwiesen. Die Anwendung des sogenannten Kernel-Tricks ermöglicht die Ausführung linearer Algorithmen in hochdimensionalen Vektorräumen durch implizite ...
Huhle, B.
core