73 search results - page 9 / 15 » Sparse Unsupervised Dimensionality Reduction Algorithms |
FGR
2006
IEEE
15 years 3 months ago
2006
IEEE
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
98
Voted
AAAI
2008
14 years 12 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
90
Voted
TSP
2008
14 years 9 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...