570 search results - page 75 / 114 » Intrinsic Geometries in Learning |
EDBT
2009
ACM
14 years 7 days ago
2009
ACM
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
ICML
2006
IEEE
14 years 4 months ago
2006
IEEE
We present a tree data structure for fast
nearest neighbor operations in general n-
point metric spaces (where the data set con-
sists of n points). The data structure re-
quir...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...