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PeerGFS PEER Software - File Sharing and Collaboration
One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage
PeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments.
...The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. Non-maximum suppression and bounding box regression at each stage. Online hard sample mining to improve training robustness.
Demo of using aNNE similarity for DBSCAN.
Written by Xiaoyu Qin, Monash University, March 2019, version 1.0
This software is under GNU General Public License version 3.0 (GPLv3)
This code is a demo of method described by the following publication: Qin, X., Ting, K.M., Zhu, Y. and Lee, V.C., 2019, July. Nearest-neighbour-induced isolation similarity and its impact on density-based clustering. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp....
This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
This project helps to digitize field data for a certain Bird Census method.
Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper.
This project makes it easy to annotate such field data and to make this data available for statistical analysis.
SalesTarget.ai | AI-Powered Lead Generation, Email Outreach, and CRM
SalesTarget.ai streamlines your sales process, providing everything you need to find high- quality leads, automate outreach, and close deals faster
SalesTarget is ideal for B2B sales teams, startup founders, and marketing professionals looking to streamline lead generation and outreach. It also benefits growing SaaS companies and agencies aiming to scale their outbound efforts efficiently.
All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit
https://sourceforge.net/projects/scixminer/
to download the newest version.
The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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 .
Rapid Alignment Free Tool for Sequences Similarity Search
...RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity
degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining.
Preprint: http://dx.doi.org/10.1101/055269
Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3
This site contains four packages of Mass and mass-based density estimation.
1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB.
2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system.
3. The third package DEMassBayes includes the source and object files of a Bayesian...
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.