Nov 22, 2016 · In this paper, we propose an information criterion for GMCA and derive a fast GMCA algorithm for extracting the first generalized minor ...
Abstract—Generalized minor component analysis (GMCA) is an essential technique in data classification and signal process- ing. In this paper, we propose an ...
A weighted information criterion for multiple minor components and its adaptive extraction algorithms · Novel Dual-Purpose Algorithm for Principal and Minor ...
Because of little literatures in the community, we discuss several approaches that lead to a few novel algorithms for extracting minor generalized eigenvectors.
Up to now, it is a hard work to find the corresponding information criterions for minor generalized components in many signal processing fields, and only ...
Apr 29, 2020 · In this work, we adopt the generalized information criterion (GIC) to propose a new method for PCA rank selection under the high-dimensional ...
Missing: Minor Extraction.
A generalized expectation criterion is a term in a parameter estimation objective function that expresses some preference about the model's expectations of ...
The proposed approach extracts multiple generalized eigenvectors of a matrix pencil by exploiting the orthogonal complement structure of its estimation, ...
Jan 10, 2017 · A tutorial-style overview of neural networks-based principal component analysis algorithms, minor component analysis algorithms, principal ...
Information criteria (ICs) based on penalized likelihood, such as Akaike's information criterion (AIC), the Bayesian information criterion (BIC) and ...
Missing: Minor | Show results with:Minor