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IEEECIT
2010
IEEE
14 years 6 months ago
2010
IEEE
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
FGR
2000
IEEE
15 years 1 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
AVSS
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper addresses the problem of classifying human actions in a video sequence. A representation eigenspace approach based on the PCA algorithm is used to train the classifier...
MICCAI
2004
Springer
15 years 10 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...