Legacy OpenCV Machine Learning Examples (2.4.x, C++)
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Updated
Mar 24, 2018 - C++
Legacy OpenCV Machine Learning Examples (2.4.x, C++)
A LibreOffice Calc extension that fills missing data using machine learning techniques
machine learning method implemention
This is a Distributed System and Parallel Computing Assignment Project which works on KNN about Diabetes Classification
The Smart Sign Language Glove is a wearable device that translates sign language gestures into text or speech, bridging communication gaps for sign language users. Powered by an ESP32 microcontroller, the glove uses flex sensors and an MPU-6050 accelerometer/gyroscope to capture real-time hand movements.
This is a C++ implementation of the knn algorithm using MPI
Hardware-based implementation to identify license plate numbers and respond based on that
Predict student grades through K-nearest algorithm in C++ by loading the dataset through file handling in C++ and then used Euclidean distance formula to calculate the distance and then make a prediction
An AI-KNN algorithm system for classifying vectors, As part of the final project for Advanced Programming course, Bar-Ilan University.
Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
Validation model with iris data and k-NN classification
This C++ from-scratch project implements a machine learning system to classify images of washers and coins using the K-nearest neighbors (Knn) classifier and K-means clustering for segmentation. The system incorporates Sobel edge detection and Hu moments for shape analysis, allowing it to accurately distinguish between similar circular objects.
This repository contains console application for classifying input vectors using the KNN classification algorithm.
Simple KNN implementation
Parallel implementation of the KNN classifier with OpenMP and MPI
high performance computing project for implementing KNN using openMP and MPI
MNIST classication with KNN and NNs
RBT/ Binary Search Trees Sector Mapping
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