Patent ID: 11947622
Assignee: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A system for discovering or ranking a change in a pattern of high-dimensional data, comprising:
an input port configured to receive the high dimensional data;
at least one automated processor, configured to:
determine a matrix representing a linear model of a dominant subspace for the high dimensional data;
iteratively optimize a factorization of the matrix into an estimated feature basis matrix and an estimated indicator matrix corresponding to a set of principal angles representing the change in the pattern of the high dimensional data;
determine a statistical likelihood ratio with respect to alternate hypotheses regarding a statistical significance of the change in the pattern of the high dimensional data based on sets of basis vectors determined dependent on the set of principal angles from the optimized factorization of the matrix;
based on at least the statistical likelihood ratios, predict the significant change represented in the high-dimensional data according to an adaptive criterion;
at least one of:
rank the respective high dimensional data; and
determine a statistically significant difference of respective high dimensional data; and

alter the adaptive criterion dependent on the ranking or determined statistically significant difference; and

an output port configured to selectively present a signal dependent on the rank or statistically significant difference.