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Accord.NET Framework 2.8.1

Builds upon AForge.NET for image processing, supplying new tools and libraries.


Last Week downloads: 0
Total downloads: 137
  • Last Updated: Jan 21, 2013
  • License: Freeware Free
  • OS: Windows 7/Vista/XP
  • Requirements: No special requirements

User reviews

4 out of 5 based on 2 ratings for Accord.NET Framework 2.8.1

For Accord.NET Framework 2.8.1Publisher's description


Accord.NET Framework is a Development software developed by Cesar Souza. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Accord.NET Framework:

Accord.NET is a framework for scientific computing in .NET. The framework builds upon the popular AForge.NET Framework, focusing on providing statistical methods, machine learning, pattern recognition, audio processing and computer vision algorithms.

This framework is written completely in .NET and is not simply a wrapper around native libraries. I offers an extensive list of examples and sample applications to get the user up-and-running with the framework in no time. Source code is readily available and it be used in commercial applications with minor restrictions.

Version updates and fixes:

* General
- Working on more source code examples for the documentation.

* Accord.Math
- Adding Levenshtein distance for strings.

* Accord.Imaging
- Updating BagOfVisualWords to be fully serializable.

* Accord.MachineLearning
- Adding K-dimensional trees (K-d trees);
- Adding Mean-Shift clustering Algorithm;
- Adding support for weights in Gaussian Mixture Models;
- Correcting the name of the K-Nearest Neighbors algorithm;
- Improving K-Nearest Neighbors for double[] using a K-d tree;
- Changing K-Nearest Neighbors generic argument to represent the
instance type rather than the type of the array of instances.

* Accord.Statistics
- Adding Interfaces for Density estimation kernels;
- Adding Gaussian, Epanechnikov, Uniform density kernels;
- Adding Bartlett's and Levene's tests for variances;
- Adding hypothesis tests for comparing ROC curves;
- Adding support for scatterplot generation directly from ROC curves;
- Adding running Markov models and running Markov classifier filters;
- Adding stochastic gradient descent learning for Logistic regression models;
- Updating Two-Sample Kolmogorov to work with number of samples in double-precision;
- Correcting standard error calculation in Paired T-Tests.

* Accord.Neuro
- Adding Boltzmann Machines, Contrastive Divergence Learning and Deep Neural Networks.

* Accord.Vision.....
you can free download Accord.NET Framework 2.8.1 now.

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