Learning features while learning to classify: a cognitive model for autonomous systems
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Organization Theory"
DOI: 10.1007/s10588-018-9279-3
Abstract: We describe a computational cognitive model intended to be a generalizable classifier that can provide context-based feedback to semantic perception in robotic applications. Many classifiers (including cognitive models of categorization) perform well at the task… read more here.
Keywords: learning features; cognitive model; features learning; learning classify ... See more keywords
Multiple features learning for ship classification in optical imagery
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4952-y
Abstract: The sea surface vessel/ship classification is a challenging problem with enormous implications to the world’s global supply chain and militaries. The problem is similar to other well-studied problems in object recognition such as face recognition.… read more here.
Keywords: ship classification; classification; classification optical; multiple features ... See more keywords