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 ...
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 ...
ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...
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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