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dlib ml 18.1

by davis685 - March 25, 2013, 23:48:23 CET [ ] 53315 views, 9334 downloads, 1 subscription

About: This project is a C++ toolkit containing machine learning algorithms and tools that facilitate creating complex software in C++ to solve real world problems.

Changes:

In addition to some bug fixes, this release also brings the following notable improvements to the library:

The SURF feature extraction tool has higher matching accuracy than in previous dlib releases.
The cutting plane optimizer is now faster
A new tool for computing the singular value decomposition of very large matrices
A new tool for performing canonical correlation analysis on large datasets
A new tool for easily writing parallel for loops

Authors: Davis King
License: Boost Software License
Programming Language: C++

Operating System: Linux, Macosx, Windows, Unix, Solaris
Data Formats: Svmlight, Binary
JMLR-MLOSS Publication: JMLR Page
Tags: Svm, Classification, Clustering, Regression, Kernel Methods, Matrix Library, Kkmeans, Optimization, Algorithms, Exact Bayesian Methods, Approximate Inference, Bayesian Networks, Junction Tree

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dlib ml 18.1