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Fixing formatting of release notes.

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1 parent f714def commit 85e72edd45bb35e738e51028110f0bf8770dc5ed @cesarsouza cesarsouza committed Jan 11, 2017
Showing with 28 additions and 28 deletions.
  1. +28 −28 Release notes.txt
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@@ -4,7 +4,7 @@ Accord.NET Framework 3.4.0 release notes
Version updates and fixes:
- GH-19: Implement Grubbs' test;
- - GH-129:Possible error in Special.BSpline function;
+ - GH-129: Possible error in Special.BSpline function;
- GH-153: Visual Studio 2015;
- GH-172: Add Random Forest Implementation;
- GH-177: AugmentedLagrangian with NonlinearConstraints - Gradient NullReferenceException issue;
@@ -42,34 +42,34 @@ Version updates and fixes:
- GH-340: PoissonDistribution InverseDistributionFunction not returning expected value;
- GH-365: Can HOG to work with BoW'2 with SVM or OSVM.
- * General
- - Fixing make install on Linux/Mono.
+* General
+ - Fixing make install on Linux/Mono.
- * Imaging
- - Updating BagOfVisualWords to implement the updated IBagOfWords interface;
- - Adding methods to facilitate the creation of BoVW with arbitrary extractors;
- - Adding examples in the documentation on how to learn SVMs on the extracted Bo(V)Ws;
- - Updating IFeatureDetector interfaces to use covariance and contravariance to avoid element-by-element type conversions.
-
- * Math
- - Adding support for computing the full QR decomposition (besides only the economy one);
- - Adding methods to compute the null-space of a given matrix.
-
- * MachineLearning
- - Updating the IBagOfWords interface and implementing classes to implement the IUnsupervisedLearning and ITransform interfaces;
- - Updating ZeroOneLoss to handle class labels in the -1/+1 format;
- - Updating the kernel cache to pre-compute the entire kernel matrix by default.
-
- * Statistics
- - Adding random generators for the von-Mises Fisher distribution;
- - Updating documentation examples for Hidden Markov Models, Hidden Markov Classifiers and their respective algorithms;
- - Adding a new GammaOptions class to pass fitting options to Gamma distributions;
- - Updating DistributionAnalysis to use the new machine learning interfaces/API;
- - Updating code and documentation for Dynamic Time warping kernel;
- - Updating Gamma distribution so probabilities are computed in the log-domain by default;
- - Marking Moving and Running statistics as ISerializable;
- - Adding methods to compute the marginals in multivariate discrete distributions;
- - Adding RunningRangeStatistics and MovingRangeStatistics.
+* Imaging
+ - Updating BagOfVisualWords to implement the updated IBagOfWords interface;
+ - Adding methods to facilitate the creation of BoVW with arbitrary extractors;
+ - Adding examples in the documentation on how to learn SVMs on the extracted Bo(V)Ws;
+ - Updating IFeatureDetector interfaces to use covariance and contravariance to avoid element-by-element type conversions.
+
+* Math
+ - Adding support for computing the full QR decomposition (besides only the economy one);
+ - Adding methods to compute the null-space of a given matrix.
+
+* MachineLearning
+ - Updating the IBagOfWords interface and implementing classes to implement the IUnsupervisedLearning and ITransform interfaces;
+ - Updating ZeroOneLoss to handle class labels in the -1/+1 format;
+ - Updating the kernel cache to pre-compute the entire kernel matrix by default.
+
+* Statistics
+ - Adding random generators for the von-Mises Fisher distribution;
+ - Updating documentation examples for Hidden Markov Models, Hidden Markov Classifiers and their respective algorithms;
+ - Adding a new GammaOptions class to pass fitting options to Gamma distributions;
+ - Updating DistributionAnalysis to use the new machine learning interfaces/API;
+ - Updating code and documentation for Dynamic Time warping kernel;
+ - Updating Gamma distribution so probabilities are computed in the log-domain by default;
+ - Marking Moving and Running statistics as ISerializable;
+ - Adding methods to compute the marginals in multivariate discrete distributions;
+ - Adding RunningRangeStatistics and MovingRangeStatistics.

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