IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
GitHub

Industrial KNN-based Anomaly Detection

SPADE (Cohen et al. 2021) - knn in z-space and distance to feature maps PaDiM* (Defard et al. 2020) - distance to multivariate Gaussian of feature maps PatchCore (Roth et al. 2021) - knn distance to ...
IEEE

Network Intrusion Detection Using K-Nearest Neighbors (KNN) and Recurrent Neural Networks (RNN)

Abstract: In today's interconnected world, the security of computer networks is of utmost importance due to the prevalence of cyber threats. To tackle this challenge, a machine learning-based ...
GitHub

Improving 2D Feature Representations by 3D-Aware Fine-Tuning

This is the official repository for the paper Improving 2D Feature Representations by 3D-Aware Fine-Tuning. The code has been tested on Linux with Python 3.10.14, torch 1.9.0, and cuda 11.8. Create an ...