868 search results - page 148 / 174 » Learning Object Representations Using Sequential Patterns |
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
MM
2004
ACM
14 years 3 months ago
2004
ACM
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
NIPS
2001
13 years 11 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
IROS
2007
IEEE
14 years 4 months ago
2007
IEEE
— Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach a...