71 search results - page 14 / 15 » Gaussian Process Latent Variable Models for Visualisation of... |
BMVC
2010
13 years 3 months ago
2010
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
ICASSP
2009
IEEE
14 years 2 days ago
2009
IEEE
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
CSDA
2010
13 years 5 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
UAI
2008
13 years 6 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
JMLR
2012
11 years 7 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...