326 search results - page 46 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
106
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ICIP
2007
IEEE
15 years 6 months ago
2007
IEEE
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
114
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NIPS
2004
15 years 1 months ago
2004
We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
ICML
2008
IEEE
16 years 16 days ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
97
Voted
ISBI
2004
IEEE
16 years 13 days ago
2004
IEEE
We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visual...
PCM
2007
Springer
15 years 5 months ago
2007
Springer
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...