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ICIP
2007
IEEE
14 years 2 months ago
Face Recognition using a Fast Model Synthesis from a Profile and a Frontal View
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...
Antonio Rama, Francesc Tarres
NIPS
2004
13 years 9 months ago
Machine Learning Applied to Perception: Decision Images for Gender Classification
We study gender discrimination of human faces using a combination of psychophysical classification and discrimination experiments together with methods from machine learning. We r...
Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simo...
ICML
2008
IEEE
14 years 8 months ago
Expectation-maximization for sparse and non-negative PCA
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...
Christian D. Sigg, Joachim M. Buhmann
ISBI
2004
IEEE
14 years 8 months ago
Bone Model Morphing for Enhanced Surgical Visualization
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...
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi
PCM
2007
Springer
169views Multimedia» more  PCM 2007»
14 years 2 months ago
Random Subspace Two-Dimensional PCA for Face Recognition
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 ...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh