287 search results - page 34 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
CPM
1999
Springer
15 years 1 months ago
1999
Springer
We focus on the combinatorial analysis of physical mapping with repeated probes. We present computational complexity results, and we describe and analyze an algorithmic strategy. W...
PRL
2006
14 years 9 months ago
2006
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
83
Voted
ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
59
Voted
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Herein we present a quantitative noise analysis of diffraction enhanced imaging (DEI), an x-ray imaging method that produces absorption and refraction images, with inherent immuni...
100
Voted
ICIC
2005
Springer
15 years 3 months ago
2005
Springer
Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...