429 search results - page 56 / 86 » Unsupervised feature selection for principal components anal... |
BMCBI
2010
13 years 7 months ago
2010
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract-In this paper we present a new scheme for brain imaginary movement invovles sophisticated spatial-temporalsignal processing and classification for electroencephalogram spe...
SIBGRAPI
2005
IEEE
14 years 1 months ago
2005
IEEE
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
KES
2007
Springer
14 years 1 months ago
2007
Springer
This paper reports on the unsupervised analysis of seismic signals recorded in Italy, respectively on the Vesuvius volcano, located in Naples, and on the Stromboli volcano, located...
PRL
2007
13 years 7 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...