396 search results - page 15 / 80 » Metric Multidimensional Information Space |
107
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
103
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Publication
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
109
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VIS
2008
IEEE
16 years 1 months ago
2008
IEEE
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
117
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ICMLC
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...