Tensor decomposition encompasses a suite of mathematical techniques for expressing high-dimensional data arrays as structured combinations of lower-dimensional factors. By generalising matrix ...
Tensor decomposition- and principal component analysis-based unsupervised feature extraction were proposed almost 5 and 10 years ago, respectively; although these methods have been successfully ...
Familiarity with linear algebra is expected. In addition, students should have taken a proof-based course such as CS 212 or Math 300. Tensors, or multiindexed arrays, generalize matrices (two ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results