137 search results - page 25 / 28 » Ordinal Embedding: Approximation Algorithms and Dimensionali... |
PAMI
2008
13 years 7 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
BMVC
2010
13 years 5 months ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
ARCS
2004
Springer
14 years 1 months ago
2004
Springer
In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on het...
SPAA
2003
ACM
14 years 29 days ago
2003
ACM
We consider the practical problem of task assignment in a server farm, where each arriving job is immediately dispatched to a server in the farm. We look at the benefit of cycle ...