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Showing Items 191-200 of 551 on page 20 of 56: First Previous 15 16 17 18 19 20 21 22 23 24 25 Next Last

About: Fast Multidimensional GP Inference using Projected Additive Approximation

Changes:

Initial Announcement on mloss.org.


Logo Ankus 0.0.1

by suhyunjeon - September 13, 2013, 06:47:46 CET [ Project Homepage BibTeX Download ] 2335 views, 280 downloads, 1 subscription

About: Ankus is an open source data mining / machine learning based MapReduce that supports a variety of advanced algorithms.

Changes:

Initial Announcement on mloss.org.


Logo Chalearn gesture challenge code by jun wan 1.0

by joewan - September 11, 2013, 07:32:51 CET [ BibTeX BibTeX for corresponding Paper Download ] 2373 views, 570 downloads, 0 subscriptions

About: This code is provided by Jun Wan. It is used in the Chalearn one-shot learning gesture challenge (round 2). This code includes: bag of features, 3D MoSIFT, EMoSIFT and SMoSIFT features.

Changes:

Initial Announcement on mloss.org.


Logo Accord.NET Framework 2.10.0

by cesarsouza - September 9, 2013, 16:12:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 16146 views, 3292 downloads, 2 subscriptions

About: Accord.NET provides statistical analysis, machine learning, image processing and computer vision methods for .NET applications. The Accord.NET Framework extends the popular AForge.NET with new features, adding to a more complete environment for scientific computing in .NET.

Changes:

This release aimed to provide improvements to the documentation. Most of the Univariate Distributions now include proper examples for all main functions and measures in their summary page. Also, a wide set of imaging methods, such as Haralick's set of textural features, the Local Binary Pattern, Gabor, Kirsch, and Variance filters have been added. Also includes the Denavit-Hartenberg model for kinematic chains and many updates, optimizations, corrections and bug-fixes in all major namespaces.

For a complete list of changes, please see the full release notes at the release details page at:

https://github.com/accord-net/framework/releases


Logo Multilinear Principal Component Analysis 1.3

by hplu - September 8, 2013, 13:04:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4085 views, 769 downloads, 1 subscription

About: A Matlab implementation of Multilinear PCA (MPCA) and MPCA+LDA for dimensionality reduction of tensor data with sample code on gait recognition

Changes:
  1. The MPCA paper is updated with a typo (the MAD measure in Table II) corrected.

  2. Tensor toolbox version 2.1 is included for convenience.

  3. Full code on gait recognition is included for verification and comparison.


Logo libnabo 1.0.4

by smagnenat - September 4, 2013, 09:34:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6859 views, 1612 downloads, 1 subscription

About: libnabo is a fast K Nearset Neighbor library for low-dimensional spaces.

Changes:
  • Added parameter check for optionFlags in queries.
  • Fixed OS X compilation.

Logo Test 1.0

by willyie - August 23, 2013, 23:05:22 CET [ BibTeX Download ] 698 views, 234 downloads, 1 subscription

About: Test submission. Is MLOSS working?

Changes:

Initial Announcement on mloss.org.


Logo CIlib Computational Intelligence Library 0.8

by gpampara - August 22, 2013, 08:34:21 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1439 views, 401 downloads, 1 subscription

About: CIlib is a library of computational intelligence algorithms and supporting components that allows simple extension and experimentation. The library is peer reviewed and is backed by a leading research group in the field. The library is under active development.

Changes:

Initial Announcement on mloss.org.


Logo NuPIC 0.1

by rhyolight - August 21, 2013, 21:01:46 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1256 views, 496 downloads, 1 subscription

About: The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

Changes:

Initial Announcement on mloss.org.


About: Stochastic neighbor embedding originally aims at the reconstruction of given distance relations in a low-dimensional Euclidean space. This can be regarded as general approach to multi-dimensional scaling, but the reconstruction is based on the definition of input (and output) neighborhood probability alone. The present implementation also allows for handling dissimilarity or score-induced neighborhood topologies and makes use of quasi 2nd order gradient-based (l-)BFGS optimization.

Changes:
  • gradient in xsne_fun.m fixed! (constant factor m was missing)

  • symmetry option re-introduced allowing for enabling symmetric and asymmetric versions of SNE and t-SNE


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