15 search results - page 2 / 3 » Coresets and Sketches for High Dimensional Subspace Approxim... |
EDBT
2006
ACM
14 years 4 months ago
2006
ACM
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
WIRN
2005
Springer
13 years 10 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
TKDE
2010
13 years 3 months ago
2010
—Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elemen...
AAAI
2007
13 years 7 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...