8776 search results - page 355 / 1756 » Robust Data Clustering |
180
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NIPS
2008
15 years 8 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
185
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
194
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JMLR
2002
15 years 6 months ago
2002
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
166
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
A novel algorithm for robustly segmenting changes between different images of a scene is presented. This computationally efficient algorithm is based on a non-linear comparison of...
157
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ACNS
2009
Springer
15 years 10 months ago
2009
Springer
Computing Set Intersection privately and efficiently between two mutually mistrusting parties is an important basic procedure in the area of private data mining. Assuring robustnes...