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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 9 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
STACS
1992
Springer
13 years 11 months ago
A Simplified Technique for Hidden-Line Elimination in Terrains
In this paper we give a practical and e cient output-sensitive algorithm for constructing the display of a polyhedral terrain. It runs in Od + nlog2 n time and uses On n space, wh...
Franco P. Preparata, Jeffrey Scott Vitter
ICCV
2009
IEEE
15 years 18 days ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
3DIM
2005
IEEE
14 years 1 months ago
Multi-Resolution Modeling and Locally Refined Collision Detection for Haptic Interaction
The computational cost of a collision detection (CD) algorithm on polygonal surfaces depends highly on the complexity of the models. A novel “locally refined” approach is intr...
Peiran Liu, Xiaojun Shen, Nicolas D. Georganas, Ge...