Abstract: A method and apparatus to comprehend situations for an Emotionally Intelligent Technology-Aided Decision System, and more particularly, with an improved auto regression architecture and method for sporadic, heterogeneous, multimodal, unlabeled, unstructured, sequential data. Auto-regression architecture is used to abstract unlabeled, data with a layered approach involving co-occurrence matrix generation, vectoring, clustering, pattern finding, and trimming techniques combined together.
Type:
Application
Filed:
July 7, 2016
Publication date:
January 12, 2017
Applicant:
IPVIVE, INC.
Inventors:
Greg Tsutaoka, Nathaniel J. Thurston, Olena Tashkevych