334 search results - page 56 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
JMIV
1998
13 years 7 months ago
1998
In the past decades linear scale-space theory was derived on the basis of various axiomatics. In this paper we revisit these axioms and show that they merely coincide with the foll...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
BTW
2009
Springer
13 years 8 months ago
2009
Springer
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
CVIU
2007
13 years 7 months ago
2007
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
EDBT
2006
ACM
14 years 7 months ago
2006
ACM
Nearest neighbor (NN) queries have been extended from Euclidean spaces to road networks. Existing approaches are either based on Dijkstra-like network expansion or NN/distance prec...