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