244 search results - page 19 / 49 » Compressive PCA on Graphs |
158
Voted
ICMCS
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper proposes a fast and accurate method to detect all nearduplicate segments in a video stream. To reduce the computation time while ensuring the detection accuracy equival...
172
Voted
ICIAR
2004
Springer
16 years 4 days ago
2004
Springer
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
228
Voted
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper, we propose a method to select a discriminative set of image processing operations for Linear Discriminant Analysis (LDA) as an application of the use of generating ...
158
Voted
KES
2005
Springer
16 years 8 days ago
2005
Springer
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
194
Voted
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...