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» Algorithmic Randomness of Closed Sets
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125
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VDA
2010
169views Visualization» more  VDA 2010»
15 years 6 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...
144
Voted
NIPS
2008
15 years 5 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
137
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CORR
2010
Springer
157views Education» more  CORR 2010»
15 years 3 months ago
Efficient Clustering with Limited Distance Information
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model ...
Konstantin Voevodski, Maria-Florina Balcan, Heiko ...
136
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ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
15 years 3 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
Kasturi Chatterjee, Shu-Ching Chen
JMLR
2006
106views more  JMLR 2006»
15 years 3 months ago
Stability Properties of Empirical Risk Minimization over Donsker Classes
We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...
Andrea Caponnetto, Alexander Rakhlin