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» A Hierarchical Face Recognition Algorithm
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IBPRIA
2007
Springer
14 years 2 months ago
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
Arnau Oliver, Xavier Lladó, Joan Mart&iacut...
PAMI
2008
250views more  PAMI 2008»
13 years 8 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
PAMI
2008
200views more  PAMI 2008»
13 years 8 months ago
Principal Component Analysis Based on L1-Norm Maximization
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...
Nojun Kwak
PR
2007
325views more  PR 2007»
13 years 8 months ago
Fingerprint enhancement using STFT analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. Extracting features out of poor quality print...
Sharat Chikkerur, Alexander N. Cartwright, Venu Go...
EXPERT
2010
145views more  EXPERT 2010»
13 years 6 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni