86 search results - page 16 / 18 » Clustering and Feature Selection using Sparse Principal Comp... |
BMCBI
2010
13 years 6 months ago
2010
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
CVPR
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper describes a fast and robust approach to recovering structure and motion from video frames. It rst describes a robust recursive factorization method for ane projection...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
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ISNN
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
MICCAI
2006
Springer
14 years 7 months ago
2006
Springer
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...