20 search results - page 1 / 4 » Largest-eigenvalue-theory for incremental principal componen... |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, we present a novel algorithm for incremental principal component analysis. Based on the LargestEigenvalue-Theory, i.e. the eigenvector associated with the largest ei...
NIPS
2007
14 years 11 months ago
2007
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
106
Voted
FGR
2011
IEEE
14 years 28 days ago
2011
IEEE
— We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently propo...
79
Voted
APWEB
2005
Springer
15 years 3 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
MM
2004
ACM
15 years 2 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...