29 search results - page 2 / 6 » On Two-Intersection Sets with Respect to Hyperplanes in Proj... |
102
click to vote
BMVC
2010
14 years 9 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...
CVIU
2006
14 years 11 months ago
2006
The paracatadioptric camera is one of the most popular panoramic systems currently available in the market. It provides a wide field of view by combining a parabolic shaped mirror...
SDM
2009
SIAM
15 years 8 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
DCC
2008
IEEE
14 years 11 months ago
2008
IEEE
This work is inspired by a paper of Hertel and Pott on maximum non-linear functions [8]. Geometrically, these functions correspond with quasi-quadrics; objects introduced in [5]. ...
157
click to vote
VLDB
1999
ACM
1999
ACM
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
15 years 3 months ago
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...