169 search results - page 15 / 34 » Reductions among high dimensional proximity problems |
NIPS
2004
13 years 9 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
SIAMJO
2010
13 years 2 months ago
2010
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
ICML
2007
IEEE
14 years 8 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 ...
MICCAI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. The creation of 2D ultrasound mosaics is becoming a common clinical practice with a high clinical value. The next step coming along with the increasing availability of 2D...