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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.

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2011-04-02 05:53 Back to release list
2.1.6

本新闻稿中介绍了速成式的强大功能（冲浪）探测器从加速段测试，功能（快速）角探测器，有限内存BFGS方法用于非线性优化和阈值的序列，序列分类隐马尔可夫模型排斥反应。
This release introduces the Speeded-Up Robust Features (SURF) detector, Features from Accelerated Segment Test (FAST) corners detector, Limited-memory BFGS method for non-linear optimization, and threshold models for sequence rejection in hidden Markov sequence classifiers.

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