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A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure.
References:
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779
The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo .
Since this software is licensed...
Version 1.1 is no longer supported. Please see the new version at https://usc-imi.github.io/aeo-light/
Description for 1.1 continues below:
AEO-Light 1.1 is an open-source software application that takes a digital scan of motion picture film with optical sound tracks and directly reproduces the audio, producing as a result a synchronized sound film file.
Funded by a grant from the National Endowment for the Humanities and by the University of South Carolina.
A Matlab toolbox for calibrating the Kinect Sensor. It provides functions to jointly calibrate the depth sensor with a color camera as well as to generate a depth map for the color image and reproject the points in metric coordinates.
TubeKit is a toolkit for creating YouTube crawlers. It allows one to build one's own crawler that can crawl YouTube based on a set of seed queries and collect up to 17 different attributes.
PyramidWorkshop is an image-compression System based upon the scientific work of John Robinson (inventor of BTPC) about image-compression with adaptive linear predictors and is in average more efficient than PNG/JPEG2000.
JavaSysInfo is the java version of phpSysInfo, a library that provides information on the host being accessed.
It parses /proc and displays things like Uptime, CPU, Memory, SCSI, IDE, PCI, Network adaptors and traffic, Disk usage and Video Information
The TreeQ package is a set of C-language applications that implement a
automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.