4773 search results - page 721 / 955 » Learning from Uncertain Data |
175
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
125
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
139
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MICCAI
2009
Springer
16 years 7 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
152
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
163
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...