7623 search results - page 23 / 1525 » Algorithmic Features of Eclat |
123
Voted
IPMU
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
142
Voted
IEEEIAS
2009
IEEE
15 years 15 days ago
2009
IEEE
: Because of the semantic gap between low-level feature and high-level semantic feature of images, the results of the traditional color-based image retrieval can't meet users&...
113
Voted
INTERSPEECH
2010
14 years 9 months ago
2010
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
PERCOM
2010
ACM
15 years 1 months ago
2010
ACM
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
123
Voted
JMLR
2010
14 years 9 months ago
2010
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...