302 search results - page 6 / 61 » Parameter-Variation-Aware Analysis for Noise Robustness |
PRL
2010
13 years 6 months ago
2010
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
NIPS
2008
13 years 9 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
JMM2
2006
13 years 7 months ago
2006
One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. F...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
TIT
2008
13 years 7 months ago
2008
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...