88 search results - page 16 / 18 » An annealing framework with learning memory |
KDD
2009
ACM
14 years 7 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
PAMI
2006
13 years 7 months ago
2006
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
MCS
2010
Springer
14 years 13 days ago
2010
Springer
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
ITNG
2010
IEEE
14 years 13 days ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...