56 search results - page 7 / 12 » Semi-supervised Learning by Entropy Minimization |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Automatic detection of dynamic events in video sequences has a variety of applications including visual surveillance and monitoring, video highlight extraction, intelligent transp...
IJCAI
1993
13 years 8 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
PR
2006
13 years 7 months ago
2006
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
NIPS
1996
13 years 8 months ago
1996
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
DSMML
2004
Springer
14 years 27 days ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...