875 search results - page 21 / 175 » Linear Manifold Clustering |
111
Voted
IVC
2007
15 years 19 days ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
96
Voted
PAKDD
2005
ACM
15 years 6 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
95
Voted
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
Manifold Pursuit (MP) extends Principal Component Analysis to be invariant to a desired group of image-plane transformations of an ensemble of un-aligned images. We derive a simpl...
129
Voted
ICIP
2007
IEEE
16 years 2 months ago
2007
IEEE
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes aroun...
102
Voted
ICCV
2007
IEEE
15 years 7 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...