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PEMBUATAN PERANGKAT LUNAK PENGENALAN WAJAH MENGGUNAKAN PRINCIPAL COMPONENTS ANALYSIS
Face recognition is one of many important researches, and today, many applications have implemented it. Through development of techniques like Principal Components Analysis (PCA), computers can now outperform human in many face recognition tasks ...
Kartika Gunadi +1 more
doaj
Ensemble Principal Component Analysis
Efficient representations of data are essential for processing, exploration, and human understanding, and Principal Component Analysis (PCA) is one of the most common dimensionality reduction techniques used for the analysis of large, multivariate ...
Olga Dorabiala +2 more
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An example of using obliquely rotated principal components to detect circulation types over Europe
Principal component analysis (PCA) is applied to selected gridded 500 hPa height data over Europe, the stratification of which is known in advance, in order to evaluate its ability to find dominating circulation types.
Radan Huth
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A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Using principal component analysis to identify the component affecting skull weight of Japanese Quail [PDF]
Principal Component Analysis (PCA) is a powerful statistical tool used to reduce the complexity of large datasets while preserving significant variations.
israa Abd Alsada
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Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
How many separable sources? Model selection in independent components analysis.
Unlike mixtures consisting solely of non-Gaussian sources, mixtures including two or more Gaussian components cannot be separated using standard independent components analysis methods that are based on higher order statistics and independent ...
Roger P Woods +2 more
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In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device
In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang +19 more
wiley +1 more source
Chemical composition and growth characteristics of Amorphophallus bulbifer
Konjac is an important horticultural vegetable and characteristic cash crop. Amorphophallus bulbifer has many advantages such as high yield, good quality and strong resistance.
Jinwei Li +7 more
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