Sciweavers

244 search results - page 19 / 49
» Compressive PCA on Graphs
Sort
View
ICMCS
2007
IEEE
161views Multimedia» more  ICMCS 2007»
14 years 5 months ago
Genre-Adaptive Near-Duplicate Video Segment Detection
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...
Ichiro Ide, Kazuhiro Noda, Tomokazu Takahashi, Hir...
ICIAR
2004
Springer
14 years 4 months ago
Three-Dimensional Face Recognition: A Fishersurface Approach
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...
Thomas Heseltine, Nick Pears, Jim Austin
CVPR
2012
IEEE
12 years 1 months ago
Linear discriminative image processing operator analysis
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 ...
Toru Tamaki, Bingzhi Yuan, Kengo Harada, Bisser Ra...
KES
2005
Springer
14 years 4 months ago
Feature Generation by Simple FLD
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...
Minoru Fukumi, Yasue Mitsukura
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 11 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
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 ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...