287 search results - page 19 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
NIPS
2007
14 years 11 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
91
Voted
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
IEEEMM
2007
14 years 9 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
99
Voted
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...