497 search results - page 2 / 100 » Neighborhood-Based Local Sensitivity |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
IJCAI
2007
13 years 6 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
It is well known that high-dimensional nearest-neighbor retrieval is very expensive. Many signal processing methods suffer from this computing cost. Dramatic performance gains can...
CASCON
1996
13 years 6 months ago
1996
The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...