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High-Resolution Remote Sensing Image Classification with Kernel Linear Discriminant Analysis
Remote sensing image classification is difficult due to the curse of extracting valuable information from high-resolution satellite images in...
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Bagged based ensemble model to predict thyroid disorder using linear discriminant analysis with SMOTE
IntroductionMachine learning (ML) methods have performed a noteworthy task in the prediction of medical conditions in recent years. Implementation of...
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Geographical Origin Traceability of Urechis Unicinctus Based on Cluster Analysis and Linear Discriminant Analysis
Heavy metals and nutrients were studied to identify geographical regions of Urechis unicinctus. Urechis unicinctus were selected from four different...
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Speech Emotion Recognition Using Support Vector Machine and Linear Discriminant Analysis
The most common form of communication is speech. Speech Emotion Recognition is a demanding study area that aims to identify human emotions from...
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Tensor discriminant analysis on grassmann manifold with application to video based human action recognition
Representing videos as linear subspaces on Grassmann manifolds has made great strides in action recognition problems. Recent studies have explored...
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Class-structure preserving multi-view correlated discriminant analysis for multiblock data
With the rapid development in data acquisition methods, multiple data sources are now becoming available to explain different views of an object....
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Mushroom Classification and Feature Extraction Using Linear Discriminant Analysis
Viswanadham, Sangeeta Muttipati, Appala Srinuvasu Lakshmi, Nemana Jaya Sujatha, YenniredlaMushrooms are part of our human diet since very old time....
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Comparative Study for Predicting Melanoma Skin Cancer Using Linear Discriminant Analysis (LDA) and Classification Algorithms
Early detection and prediction of melanoma can help control large-scale outbreaks and reduce the transmission of epidemics in rapid response to...
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A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm
BackgroundDuring the aging process, cognitive functions and performance of the muscular and neural system show signs of decline, thus making the...
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Highly Correlated Linear Discriminant Analysis for Dimensionality Reduction and Classification in Healthcare Datasets
Particularly in medical science, artificial intelligence and its applications are expanding. Accessing significant clinical data is possible, and...
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Damage identification of Old ADA steel bridge using discriminant analysis of factor analysis loadings
The present research devised a cluster-based discriminant analysis of factor analysis loadings and aimed at disseminating and popularizing it in...
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Classification of Cognitive Impairment Using Quadratic Discriminant Analysis Based Spiral Dynamic Optimization Algorithm
This research uses machine learning techniques for the classification of cognitive impairment using Quadratic Discriminant Analysis (QDA) based...
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Deep dual domain joint discriminant feature framework for emotion based music player
Emotion based music player is an interdisciplinary study of computer vision and psychology. As music enhances the positive vibes it plays a...
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An IDS-Based DNN Utilized Linear Discriminant Analysis Method to Detect IoT Attacks in Edge Computing
Edge computing is an emerging computing paradigm that provides processing capabilities closer to the networks edge, making it suitable for IoT...
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Gender Identification Using Ensemble Linear Discriminant Analysis Algorithm Based on Facial Features
A wide range of applications rely on the capacity to extract information about people from images. Person identification for the surveillance or...
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Feature and instance selection through discriminant analysis criteria
Feature selection and instance selection are two data preprocessing methods widely used in data mining and pattern recognition. The main goal is to...
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Cognitive linear discriminant regression computing technique for HTTP video services in SDN networks
In recent times, the service providers and the operators are facing the problems like visual quality degradations and frequent interruptions during...
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A Robust Gender Identification System for Speaker Recognition Using Linear Discriminant Analysis Stepwise Dimension Reduction
Gender identification is one of the important aspects to reduce computational time in speaker related applications because prior information of...
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Binning on Metagenomic Data for Disease Prediction Using Linear Discriminant Analysis and K-Means
Metagenomic data is one of the valuable data resources to predict human disease in personalized medicine. Metagenomic data is very potential and...
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Incremental Weighted Linear Discriminant Analysis for Face Recognition
Face recognition has been a popular research area with several real-world applications. Linear discriminant analysis (LDA) is a well-known method for...