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177
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
181
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ICRA
2009
IEEE
16 years 1 months ago
2009
IEEE
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
183
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CVPR
2007
IEEE
16 years 26 days ago
2007
IEEE
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
193
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
157
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ICMCS
2006
IEEE
16 years 17 days ago
2006
IEEE
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...