AdaBoost, which stands for Adaptive Boosting, is an ensemble learning algorithm that combines multiple weak learners (e.g., decision trees) to create a strong, accurate model. It is an iterative ...
This repository contains Python code for a K-nearest neighbors (KNN) classifier implemented with Adaboosting. K-nearest neighbors is a simple yet effective machine learning algorithm for ...
Abstract: In this paper, an approach of QR code detection using histograms of oriented gradients (HOG) and AdaBoost is proposed. There are two steps in our approach. In the first step, feature vectors ...
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