5 search results - page 1 / 1 » Deflating the Dimensionality Curse Using Multiple Fractal Di... |
ICDE
2000
IEEE
14 years 5 months ago
2000
IEEE
Nearest neighbor queries are important in many settings, including spatial databases (Find the k closest cities) and multimedia databases (Find the k most similar images). Previou...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
IJISTA
2008
13 years 4 months ago
2008
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
FGR
2006
IEEE
13 years 8 months ago
2006
IEEE
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
GRC
2010
IEEE
13 years 5 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...