PROJECT TITLE :

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

ABSTRACT:

The widespread use of multisensor technology and the emergence of Big Data sets have highlighted the restrictions of normal flat-view matrix models and the necessity to move toward a lot of versatile knowledge analysis tools. We tend to show that higher-order tensors (i.e., multiway arrays) enable such a basic paradigm shift toward models that are essentially polynomial, the individuality of which, not like the matrix strategies, is guaranteed underneath terribly mild and natural conditions. Benefiting from the power of multilinear algebra as their mathematical backbone, data analysis techniques using tensor decompositions are shown to possess great flexibility in the selection of constraints that match knowledge properties and extract additional general latent components in the info than matrix-primarily based ways.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Large Scale Tensor Factorization via Parallel Sketches ABSTRACT: In recent years, tensor factorization methods have seen a rise in their level of popularity. Tensors are appealing for a number of reasons, one of
PROJECT TITLE : Attention in Reasoning Dataset, Analysis, and Modeling ABSTRACT: Although attention has become an increasingly popular component in deep neural networks for the purpose of both interpreting data and improving
PROJECT TITLE : Tensor Oriented No-Reference Light Field Image Quality Assessment ABSTRACT: Immersive media acquisition, processing, and application are becoming more dependent on the quality of light field images (LFIs). A multi-dimensional
PROJECT TITLE : Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution ABSTRACT: Super-resolution of hyperspectral images (HSI) is shown in this study, which combines low-resolution (LR) HSI with

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry