Tensors For Data Processing

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Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, co
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Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix co
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The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor n
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Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to
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Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the state of the art in th