434 search results - page 24 / 87 » Dimensionality Reduction of Clustered Data Sets |
BMVC
2010
13 years 6 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
AMSTERDAM
2009
13 years 6 months ago
2009
The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey....
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
UM
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Words mean different things to different people, and capturing these differences is often a subtle art. These differences are often “a matter of perspective,” and...