Title :
View-invariant object category learning, attention, recognition, search, and scene understanding
Author :
Grossberg, Stephen
Author_Institution :
Dept. of Cognitive & Neural Syst., Boston Univ., Beacon, MA, USA
Abstract :
This article summarizes recent progress towards understanding how the brain can intelligently scan a scene and use fast incremental unsupervised and supervised learning to learn scenic type and view-invariant representations of the objects within it.
Keywords :
image representation; unsupervised learning; unsupervised learning; view-invariant object category learning; view-invariant representations; Eyes; Layout; Neural networks; Pattern matching; Prototypes; Resonance; Retina; Subspace constraints; Surface fitting; Visual perception;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5179084
