42 search results - page 1 / 9 » A Linear Subspace Learning Approach via Sparse Coding |
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...