55 search results - page 2 / 11 » Laplacian PCA and Its Applications |
ICIAP
2003
ACM
13 years 10 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
PAMI
2007
13 years 4 months ago
2007
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
ACCV
2007
Springer
13 years 11 months ago
2007
Springer
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...