84 search results - page 2 / 17 » Handling Sparse Data Sets by Applying Contrast Set Mining in... |
SBBD
2000
13 years 6 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
PAMI
2011
12 years 12 months ago
2011
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
DMIN
2009
13 years 2 months ago
2009
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...