Search Results for "community detection algorithm"

...It runs on Windows, macOS, and Linux, making it accessible to DJs across all major platforms. Mixxx supports both beginners using just a laptop and experienced DJs using advanced hardware setups. Built-in BPM and key detection help DJs quickly find compatible tracks and achieve smooth transitions. With strong community-driven development, Mixxx is continuously improved by DJs and programmers from around the world. As a fully open-source project, Mixxx is and will always remain free to use.

*************************************************************************** Updated 06/28/2018 The ezSift project has moved to https://github.com/robertwgh/ezSIFT *************************************************************************** The SIFT (scale-invariant feature transform) algorithm is considered to be one of the most robust local feature detector and description methods. Most of the open-source SIFT implementations rely on some 3rd-party libraries. Some of them even rely...

A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be...

Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...

Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.

This project covers an algorithm for face detection in color images. It was developed as a conclusion work in graduation of Computer Science at Pontifícia Universidade Católica de Minas Gerais by Breno Santos Araújo (brenopuc@gmail.com).