59 search results - page 8 / 12 » Robust regression using sparse learning for high dimensional... |
131
Voted
NIPS
2008
15 years 4 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
126
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
114
Voted
ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
140
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FSKD
2006
Springer
15 years 6 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
140
Voted
BMCBI
2007
2007
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
15 years 2 months ago
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...