205 search results - page 15 / 41 » Boosting Method for Local Learning in Statistical Pattern Re... |
GBRPR
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Recent research in object recognition has demonstrated the advantages of representing objects and scenes through localized patterns such as small image templates. In this paper we...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
CVPR
2001
IEEE
15 years 11 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...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...