Invention Grant
- Patent Title: Automated trend detection by self-learning models through image generation and recognition
-
Application No.: US16371993Application Date: 2019-04-01
-
Publication No.: US10832393B2Publication Date: 2020-11-10
- Inventor: Steven Hurley , David Verburg , Lu Liu , Ai K Ang , Sia Kai Julian Tan
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Heslin Rothenberg Farley & Mesiti P.C.
- Agent Tihon Poltavets, Esq.
- Main IPC: G06T11/20
- IPC: G06T11/20 ; G06T7/00 ; G06N20/00 ; G06K9/62 ; G08B21/18

Abstract:
A method, computer program product, and a system where a processor(s) obtains data comprising trends recognized by an observer of the system over time; data comprised of more than one vintage. The processor(s) transforms the data measurable dimensions and assigns the transformed data to vintages and to distinct periods of time. The processor(s) generates an image from the transformed data that represents the trends, organized by the distinct periods of times and the vintages.
Public/Granted literature
- US20200311900A1 AUTOMATED TREND DETECTION BY SELF-LEARNING MODELS THROUGH IMAGE GENERATION AND RECOGNITION Public/Granted day:2020-10-01
Information query