894 search results - page 45 / 179 » Learning to cluster using local neighborhood structure |
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these a...
PRL
2010
14 years 8 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
PAMI
2008
14 years 9 months ago
2008
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...