440 search results - page 18 / 88 » Learning the structure of manifolds using random projections |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
CHES
2005
Springer
14 years 27 days ago
2005
Springer
Embedded devices implementing cryptographic services are the result of a trade-off between cost, performance and security. Aside from flaws in the protocols and the algorithms us...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
UAI
2008
13 years 8 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...