894 search results - page 40 / 179 » Learning to cluster using local neighborhood structure |
COLT
2008
Springer
14 years 11 months ago
2008
Springer
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
IJAR
2007
14 years 9 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
MLDM
1999
Springer
15 years 2 months ago
1999
Springer
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
EVOW
2009
Springer
15 years 2 months ago
2009
Springer
This paper deals with the generation of balanced incomplete block designs (BIBD), a hard constrained combinatorial problem with multiple applications. This problem is here formulat...
ASPLOS
2010
ACM
15 years 4 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...