502 search results - page 59 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
TIT
2010
13 years 3 months ago
2010
Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficie...
SIAMSC
2011
12 years 11 months ago
2011
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
ISBI
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
CHI
2005
ACM
14 years 9 months ago
2005
ACM
Current methods to represent system or task usability in a single metric do not include all the ANSI and ISO defined usability aspects: effectiveness, efficiency & satisfactio...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...