2312 search results - page 44 / 463 » On the Dimensionality of Face Space |
100
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
AAAI
2006
14 years 11 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
125
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VLDB
1999
ACM
1999
ACM
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
15 years 1 months ago
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...