Learning and vision machines

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jul 2002 Italy English Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Proceedings of the IEEE, volume 90, pages 1,164-1,177 (issn: 0018-9219,

Copyright policy )

Authors: HEISELE B; VERRI, ALESSANDRO; POGGIO T.;

doi: 10.1109/jproc.2002.801450

handle: 11567/209434

Learning and vision machines

- Summary
- Metrics

Abstract

The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our approach to the problem of visual perception based on supervised learning. After a brief presentation of the theoretical background, we focus on some of the engineering applications of statistical learning to computer vision and discuss the main open problems and directions of our future research.

Country

Italy

Related Organizations

Massachusetts Institute of Technology
United States
University of Genoa
Italy

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%