8.The method of claim 7, wherein:the label is assigned by one or more humans; andthe estimating is based at least in part on a Gaussian mixture model. 9.The method of claim 1, further comprising filtering a set of search result images based at least in part on the dominant color na...
The median absolute deviation from the median and even the mean deviation will both be more resistant than the standard deviation to heavy tails or outliers, in particular from distributions with heavier tails than the normal or Gaussian. The first measure was named the MAD by Andrews et al. ...
Gaussian mixture models (GMM) clustering, also known as expectation-maximization (EM) clustering, makes use of the optimization strategy to cluster unlabeled documents. GMM assumes that data are generated by a Gaussian distribution and tries to obtain a mixture of multidimensional Gaussian probability ...
aThe GRBM can be viewed as a mixture of diagonal Gaussians with shared parameters, where the number of mixture components is exponential in the number of hidden nodes and the mixing proportions of the components are defined by marginalizing out the visible nodes from the joint distribution. GRBM...
compound core cpu detail fluid ie imgproc nn ocl onnx own plaidml python render s11n streaming video wip Classes class classGKernelPackage A container class for heterogeneous kernel implementation collections and graph transformations.More...