Abstract: Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this ...
Tensor is a small High Performance Computing cluster available to MEB researchers. The tensor cluster consists of a login node (tensor) and seven compute nodes (tensor[1-7]) with capable CPUs and fast ...
Abstract: Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analysts extract ...
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