1812 search results - page 121 / 363 » A Support Vector Clustering Method |
141
Voted
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
142
Voted
SCAI
2008
15 years 5 months ago
2008
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
143
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
This paper investigates the design of a system for recognizing
objects in 3D point clouds of urban environments.
The system is decomposed into four steps: locating, segmenting,
...
135
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...
114
Voted
SDM
2004
SIAM
15 years 5 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...