730 search results - page 11 / 146 » Faster dimension reduction |
PCM
2007
Springer
14 years 2 months ago
2007
Springer
This paper develops a novel and efficient dimension reduction scheme--Fast Adaptive Discriminant Analysis (FADA). FADA can find a good projection with adaptation to different sampl...
AI
2005
Springer
14 years 2 months ago
2005
Springer
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
ICCS
2005
Springer
14 years 2 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
ICCAD
1996
IEEE
14 years 23 days ago
1996
IEEE
In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a ser...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...