327 search results - page 29 / 66 » Dimensionality Reduction for Image Retrieval |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
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...
SIGMOD
2011
ACM
12 years 11 months ago
2011
ACM
Multimedia similarity search has been playing a critical role in many novel applications. Typically, multimedia objects are described by high-dimensional feature vectors (or point...
DIAL
2004
IEEE
14 years 22 days ago
2004
IEEE
Large collections of scanned documents (books and journals) are now available in Digital Libraries. The most common method for retrieving relevant information from these collectio...
CACM
2010
13 years 9 months ago
2010
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...