178 search results - page 1 / 36 » Unsupervised Learning of Part-Based Representations |
CAIP
2001
Springer
13 years 9 months ago
2001
Springer
CVPR
2007
IEEE
13 years 9 months ago
2007
IEEE
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
JMLR
2006
13 years 5 months ago
2006
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...