100 search results - page 11 / 20 » Kernel Sparse Representation for Image Classification and Fa... |
150
Voted
PAMI
2012
13 years 6 months ago
2012
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
129
Voted
PR
2010
15 years 2 months ago
2010
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
139
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
145
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
273
Voted
NIPS
2008
15 years 5 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...