Showing 10 open source projects for "kernel-ntfs"

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  • 1
    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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  • 2
    The reference implementation of the Kernel-Based Hough Transform (http://www.ic.uff.br/~laffernandes/projects/kht) for detecting straight lines in binary images moved to GitHub (https://github.com/laffernandes/kht).
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  • 3
    Volterra2.0

    Volterra2.0

    Volterra series Identification Tool

    Orthogonal method for the Identification of Volterra series. It is an extension of Lee-Schetzen method with two major improvments: 1. Reduced identification uncertainty in diagonal kernel points. 2. Possibility to identify each Volterra kernel with an input with different variance. This feature reduces the identification noise on lower order kernels and improve the "resolution" on higher order kernels. For reference see: Simone Orcioni. Improving the approximation ability of Volterra series identified with a cross-correlation method. ...
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  • 4
    riboshape

    riboshape

    Predicting ribosome footprint profile shapes from transcript sequences

    Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191.
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  • 5
    KMBOX - Kernel Methods Toolbox

    KMBOX - Kernel Methods Toolbox

    A collection of kernel-based algorithms for Matlab.

    KMBOX is a collection of MATLAB programs that implement kernel-based algorithms, with a focus on regression algorithms and online algorithms. It can be used for nonlinear signal processing and machine learning.
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    Downloads: 3 This Week
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  • 6
    Qi - Quantitative Imaging (PIV and more)

    Qi - Quantitative Imaging (PIV and more)

    A collection of MATLAB tools for PIV, PTV, particle sizing, and more.

    Qi is a collection of MATLAB tools for the quantitative analysis of flow field images. Our Particle Image Velocimetry (PIV) tool, prana, implements a Robust Phase Correlation kernel for PIV analysis, and now includes Particle Tracking Velocimetry and sizing tools. Tools for pressure calculation, proper orthogonal decomposition (POD), and 3d imaging are under development.
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  • 7
    An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
    Downloads: 1 This Week
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  • 8
    Kernel Adaptive Filtering Toolbox

    Kernel Adaptive Filtering Toolbox

    a Matlab benchmarking toolbox for kernel adaptive filtering

    [Note: This project has moved. Visit https://github.com/steven2358/kafbox/ for the latest version.] A Matlab benchmarking toolbox for kernel adaptive filtering. Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance. See the included README file for a list of included algorithms and more details. ...
    Downloads: 2 This Week
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  • 9

    CRUMp

    A probabilistic prediction system of protein phosphorylation sites

    CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format.
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  • 10
    A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and Approximate Nearest Neighbor searching. This library is useful for efficient Kernel Density Estimation (KDE) using a Gaussian kernel.
    Downloads: 3 This Week
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