Showing 9 open source projects for "mining windows"

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  • 1
    MTCNN Face Detection Alignment

    MTCNN Face Detection Alignment

    Joint Face Detection and Alignment

    MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts,...
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  • 2
    Isolation Similarity

    Isolation Similarity

    aNNE similarity based on Isolation Kernel

    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....
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  • 3

    BioRec:Bird Census field data annotation

    Recognizing biological data from a notebook.

    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.
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  • 4
    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.
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  • 5
    Mass-based dissimilarity

    Mass-based dissimilarity

    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...
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  • 6
    RAFTS3

    RAFTS3

    Rapid Alignment Free Tool for Sequences Similarity Search

    RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. 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...
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  • 7
    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...
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  • 8
    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.
    Downloads: 1 This Week
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  • 9
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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