There are 0 repository under euclidean-distances topic.
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
pyge: Holiday Gift Exchange Picker
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
Expiremental Speech Recognition System using VHDL & MATLAB.
Computer Vision and AI to detect if people are at a specific distance and adhere to social distancing or not.
wildboar is a Python module for temporal machine learning
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
An Intelligent e-Scientific Lab room assistant for college student's to get the analytical results and accuracy of each observation. 🔬 💡
A music recommendation system built entirely with node js . Contain javascript code for popularity based recommendation and user based recommendation
Calculation of euclidean distance between vectors, with SIMD
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
Machine learning- based solution to the problem of duplicity in the bug reports repository.
Hyperspectral image Processing and Classification. This repository provides my solution for Project assignment for the course of Machine Learning and Computational Statistics for the MSc in Data Science at Athens University of Economics and Business.
A python package to implement all different distance/routing methods (Great Circle/Rhumbline/Haversine/Eucledian).
Linkage Methods for Hierarchical Clustering
Complete Java Approach
Tools for estimating, completing and denoising Euclidean distance matrices
Non-Negative Matrix Factorization for Gene Expression Clustering
快速计算商旅轨迹 非线性坐标数据分析
Clustering with dynamic neural network
A flexible function in TensorFlow, to calculate the Euclidean distance between all row vectors in a tensor, the output is a 2D numpy array.
Image search engine using Angular and Python.
산업안전보건법 법규시각화, 텍스트마이닝을 통한 법들간의 유사도 네트워크화
Comparing the performance of the DeepVO network under different loss functions
Code demo to reproduce the experimental results of our NeurIPS 2022 paper "Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss"
Реализация система извлечения изображений по текстовому описанию и поиск похожих фотографий
Speed control has been a challenging conundrum for government on a global scale so the idea was to develop a vehicle speed detection system that can detect overspeeding vehicles with utmost accuracy.
Leveraged Dynamic Time Warping (DTW) to assess the similarity between specific audio tracks
This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.
KNN movie recommendation system using python 🎥✨
An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook