This paper presents a new approach to modeling each inverse covariance matrix by basis expansion, where expansion coefficients are character-dependent while a common set of basis matrices are shared by all the character classes.
Based on the Kronecker product of the successive lower order Jacket matrices and the basis matrix, the fast algorithms for realizing these transforms are obtained.
Duarte-Carvajalino [30] optimized the measurement matrix and basis matrix jointly by a KSVD-based algorithm.
The matrix of basis functions is speaker-adaptive, learned in a training phase.
From the final spatio-temporally smoothed data matrix, a basis for the signal and noise subspaces can be obtained as follows.
By definition the Gram matrix of basis vectors, (X1,…,X m ), of a m dimensional vectorial space X with respect to a bilinear function K X, Y) is the matrix given by G ij = K(x i y j ).
employing a Pearsons correlation matrix as basis for our factor analysis.
Previous studies on the factor structure of the SRQ also used a Person correlation matrix as basis of their analyses [ 21, 29, 30].
Linear regression models are models of the form: (12) y (t ) = ∑ i = 1 L θ i B i (t ) + ε where θ → represents a parameter vector and B constitutes a design matrix with basis functions B i (t).
