Scientific Research Publishing

Research on Vehicle Tracking Method Based on YOLOv8 and Adaptive Kalman Filtering: Integrating SVM Dynamic Selection and Error Feedback Mechanism ()

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Automotive and Transportation, Xihua University, Yibin, China. Vehicle tracking plays a crucial role in ...
IEEE

Buried Magnetic Material Detection System: An SVM Algorithm Application

Abstract: In recent times, studies about remote-sensing methods have focused on improving variables like sensing distance, sensitivity, and power consumption of available remote-sensing methods. The ...
Frontiers

Supervised machine learning models for depression sentiment analysis

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
Hacker

10 Best Python Machine Learning Tutorials

Python is a high-level programming language that is widely used for Machine Learning (ML) applications. It is known for its readability, versatility and ease of use, making it an ideal choice for ...
Analytics India Magazine

One vs One, One vs Rest with SVM for multi-class classification

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...