693 search results - page 67 / 139 » Outlier-aware robust clustering |
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
In this paper, an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points, shape protrusions ...
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
MICCAI
2003
Springer
15 years 11 months ago
2003
Springer
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
ICML
2006
IEEE
15 years 10 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...
ICRA
2009
IEEE
15 years 4 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...