267 search results - page 12 / 54 » New Algorithms for Efficient High-Dimensional Nonparametric ... |
GRC
2008
IEEE
13 years 9 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
ICPR
2002
IEEE
14 years 1 months ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
BTW
2009
Springer
13 years 9 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...
MMS
2006
13 years 8 months ago
2006
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...