4578 search results - page 383 / 916 » Learning from Multi-source Data |
176
click to vote
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
131
click to vote
STOC
2010
ACM
15 years 8 months ago
2010
ACM
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
138
click to vote
CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
151
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
132
click to vote
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...