497 search results - page 41 / 100 » Neighborhood-Based Local Sensitivity |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Varying illumination and partial occlusion are two main difficulties in visual tracking. Existing methods based on appearance information cannot solve these problems effectively s...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
ACRI
2004
Springer
13 years 11 months ago
2004
Springer
The modelling of wildland fire spread across a heterogeneous landscape is significant because fire dynamics are sensitive to local spatial characteristics. The development of accur...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....