253 search results - page 46 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
KDD
2005
ACM
14 years 28 days ago
2005
ACM
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A visual word lexicon can be constructed by clustering primitive visual features, and a visual object can be described by a set of visual words. Such a "bag-of-words" re...
IDEAL
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
EMNLP
2009
13 years 5 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...