Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
An increasing number of applications use XML data published from relational databases. For speed and convenience, such applications routinely cache this XML data locally and acces...
Philip Bohannon, Sumit Ganguly, Henry F. Korth, P....
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Abstract. We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty de...
Fredrik Kahl, Richard I. Hartley, Volker Hilsenste...