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Found 7 papers, 0 papers with code
Combined Independent Component Analysis and Canonical Polyadic Decomposition via Joint Diagonalization
Recently, there has been a trend to combine independent component analysis and canonical polyadic decomposition (ICA-CPD) for an enhanced robustness for the computation of CPD, and ICA-CPD could be further converted into CPD of a 5th-order partially symmetric tensor, by calculating the eigenmatrices of the 4th-order cumulant slices of a trilinear mixture.
Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations
Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc.
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation
We show how, by using second-order multi-set statistics in J-BSS, a specific double coupled canonical polyadic decomposition (DC-CPD) problem can be formulated.
Scalar Quantization as Sparse Least Square Optimization
Furthermore, to compute quantization results with a given amount of values/clusters, this paper designed an iterative method and a clustering-based method, and both of them are built on sparse least square.
Multi-layer Attention Mechanism for Speech Keyword Recognition
The key idea is that, in addition to the conventional attention mechanism, information of layers prior to feature extraction and LSTM are introduced into attention weights calculations.
Ranked #4 on
Keyword Spotting
on Google Speech Commands
(Google Speech Commands V2 20 metric)
Fully Dense Neural Network for the Automatic Modulation Recognition
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR.
A Coupled Random Projection Approach to Large-Scale Canonical Polyadic Decomposition
We propose a novel algorithm for the computation of canonical polyadic decomposition (CPD) of large-scale tensors.
