An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. - Linear classifier - Document - PDFSEARCH.IO - Document Search Engine

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	An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. Add to Reading List Document Date: 2014-06-02 17:06:00 Open Document File Size: 391,20 KB Share Result on Facebook City Ann Arbor / Fort Lauderdale / / Company Single-Layer Networks / Convolutional Deep Belief Networks / Neural Information Processing Systems / / Country United States / / Facility Honglak Lee University of Michigan Computer Science / University of Toronto / / IndustryTerm unsupervised feature learning algorithms / feature learning algorithms / introduced algorithms / sparse coding algorithms / offthe-shelf feature learning algorithms / energy-based model / unsupervised learning algorithm / linear classification algorithms / feature learning systems / simplest possible algorithms / singlelayer networks / pre-processing stage / larger networks / pre-processing / unsupervised learning algorithms / learning algorithm / learning algorithms / / Organization Stanford University / University of Toronto / Honglak Lee University of Michigan Computer Science and Engineering / Pattern Analysis and Machine Intelligence / / Person J. Willamowski / Andrew Y. Ng / Adam Coates / Van Gemert / C. Bray / / Position feature extractor / Bayesian hierarchical model for learning natural scene categories / learned feature extractor / Sparse deep belief net model for visual area V2 / / ProgrammingLanguage K / / ProvinceOrState California / Michigan / / PublishedMedium IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / / Technology STL-10 Algorithm / Adam / learning algorithm / stride Algorithm / K-means algorithm / sparse coding algorithms / unsupervised feature learning algorithms / Neural Network / artificial intelligence / clustering algorithms / simplest possible algorithms / linear classification algorithms / CIFAR-10 Algorithm / K-means clustering algorithm / training algorithm / learning algorithms / unsupervised learning algorithm / offthe-shelf feature learning algorithms / machine learning / unsupervised learning algorithms / EM algorithm / feature learning algorithms / thus forcing algorithms / 2 These algorithms / / URL http / SocialTag K-means clustering Cluster analysis Pattern recognition Supervised learning Linear classifier Expectation–maximization algorithm Object recognition Mixture model Algorithm Statistics