1760 search results - page 146 / 352 » Gene set analysis using principal components |
137
Voted
AAAI
2007
15 years 6 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
129
Voted
JMLR
2008
15 years 3 months ago
2008
The statistical problem of estimating the effective dimension-reduction (EDR) subspace in the multi-index regression model with deterministic design and additive noise is consider...
133
Voted
AMC
2005
15 years 3 months ago
2005
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
113
Voted
PR
2007
15 years 3 months ago
2007
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
136
Voted
JMLR
2010
15 years 2 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...