See code samples for Microsoft developer tools and technologies. Explore and discover the things you can build with products like .NET, Azure, or C++.
MachineLearningSample. Contribute to palanceli/MachineLearningSample development by creating an account on GitHub.
See code samples for Microsoft developer tools and technologies. Explore and discover the things you can build with products like .NET, Azure, or C++.
View sample code Adjusting the Brightness and Contrast of an Image Use a gamma function to apply a linear or exponential curve. View sample code Adjusting the Hue of an Image Convert an RGB image to L*a*b* color space and apply hue adjustment. ...
View sample code to see how Metal APIs are implemented.Featured Streaming large images with Metal sparse textures Use Metal sparse textures to render a high-resolution image without the need to allocate memory for the entire image. This sample queries a residency and access counter buffer to ...
Machine Learning Sample codes for machine learning and pattern recognition. EM Algorithm A sample code for parameter learning on mixture gaussian model with EM algorithm Documents in Japanease: EMアルゴリズムによる確率分布学習のMATLABプログラム - MY ENIGMA http://d.hatena.ne.jp/meison_amsl/...
Machine Learning Aims and scope Submit manuscript Ioannis Tsamardinos, Elissavet Greasidou & Giorgos Borboudakis 26k Accesses 17 Altmetric 1 Mention Explore all metrics Abstract Cross-Validation (CV), and out-of-sample performance-estimation protocols in general, are often employed both for (a)...
There aretwo experiments performed, the 1st experiment deals with the gender classification of ten completely different languages, every language consists of fifteen audio files and also the best accuracy achieved by the machine learning technique that's straight forward logistical (87.33%). The second...
which usually co-exists with the large sample learning manner of conventional machine learning. This category mainly focuses on learning with insufficient samples, and can also be called small data learning in some literatures. More extensive surveys on both categories of SSL techniques are introduced...
improving deep network generalization to out-of-domain data. Our code and pre-trained models are available at https://github.com/visinf/self-adaptive. PDFPaper record Results in Papers With Code (↓ scroll down to see all results)