631 search results - page 18 / 127 » Learning the Face Space - Representation and Recognition |
NPL
2006
14 years 9 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
PREMI
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
100
click to vote
AVBPA
2005
Springer
14 years 11 months ago
2005
Springer
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
AMFG
2005
IEEE
15 years 3 months ago
2005
IEEE
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...