730 search results - page 63 / 146 » Faster dimension reduction |
ICONIP
1998
13 years 10 months ago
1998
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this paper we prove that the avalanche problem for the Kadanoff sandpile model (KSPM) is P-complete for two-dimensions. Our proof is based on a reduction from the monotone circ...
VC
2010
13 years 7 months ago
2010
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using non-linear dimension reduction techniques to map higher dimensional ...
MCS
2011
Springer
13 years 3 months ago
2011
Springer
A simple mathematical model of laser drilling is proposed. Assuming axi-symmetry of the process around the axis of the laser beam, a one-dimensional formulation is obtained after ...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...