The Cortical Graph (CorGraph) Project - An Investigation Into the Representation of Complex
Abstract
The objective of this effort is to explore neural inspired algorithms, loosely based on cortical structures, as new approaches to capturing and then representing the graphical structure of features in a still or moving image, and then finding the most likely matching subgraph based on probabilistic inference. The approach is to study the use of hierarchical, modular, sparsely distributed structures loosely based on the HTM family of algorithms. There does not seem to be any research in using bioinspired algorithms to solve this problem. And, in fact, only a few people are looking at hierarchical structures based on sparsely distributed representations.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 25, 2017
- Source ID
- FA87501710099
Entities
People
- Dan Hammerstrom
Organizations
- Portland State University
- Rome Laboratory
- United States Air Force