Sparse Class Representation with Linear Programming
Invention type: Technology
/
Case number: #15271L
A method, apparatus and computer program product for providing sparse class representation with linear programming is provided. A first model is built using a positive data set. A second model is built using a negative data set. Linear programming is used to distinguishing the first model from the second model to determine a set of salient features for a filter for use as an image classifier.
Researchers
Karl Ni
/
Katherine Bouman
/
Nadya Bliss
Technology Areas: Computer Science: Networking & Signals / Industrial Engineering & Automation: Logistics
Impact Areas: Connected World
-
sparse class representation with linear programming
United States of America | Granted | 9,189,735
License this technology
Interested in this technology? Connect with our experienced licensing team to initiate the process.
Sign up for technology updates
Sign up now to receive the latest updates on cutting-edge technologies and innovations.