1313 search results - page 98 / 263 » Dimensionality Reduction for Classification |
104
click to vote
AUSAI
2007
Springer
15 years 9 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
139
Voted
KDD
2001
ACM
16 years 3 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
137
click to vote
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
125
click to vote
ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
145
click to vote
SIGIR
2005
ACM
15 years 8 months ago
2005
ACM
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...