Abstract: The common vector (CV) method is a linear subspace classifier method which allows one to discriminate between classes of data sets, such as those arising in image and word recognition. This ...

“In mathematics, a Hilbert space is an inner product space that is complete with respect to the norm defined by the inner product. Hilbert spaces serve to clarify and generalize the concept of Fourier ...

add_functions($gr, "$a*x for x in <-5,5> using color:red and weight:2"); add_functions($gr, "$b*x for x in <-5,5> using color:red and weight:2"); $zero = PopUp ...

Abstract: Recent advancement in deep neural network (DNN) has surpassed the conventional hidden Markov model-Gaussian mixture model (HMM-GMM) framework due to its efficient training procedure.

$zero = PopUp(['choose','H is empty','H is nonempty'],'H is nonempty'); $subspace = PopUp(['choose','H is a subspace of V','H is not a subspace of V'],'H is a ...

Eigen-subspace projection (ESP) is one of the most popular methods of robust adaptive beamforming, and the key issue of ESP is the selection of the projection subspace. The traditional ESP method ...