255 search results - page 22 / 51 » On the Effects of Dimensionality Reduction on High Dimension... |
CVPR
2007
IEEE
15 years 13 days ago
2007
IEEE
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
CVPR
2006
IEEE
15 years 13 days ago
2006
IEEE
Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. In this paper, we present AnnoSea...
ICDE
1996
IEEE
14 years 11 months ago
1996
IEEE
Eficient indezing of high dimensional feature vectors is important to allow visual information systems and a number other applications to scale up to large databases. In this pape...
CSB
2005
IEEE
14 years 4 months ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for both multimedia and biological database applications. We consider distance-based indexi...
ACMACE
2008
ACM
14 years 13 days ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...