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» Regularization on Discrete Spaces
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AAAI
2010
15 years 4 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
WIESS
2000
15 years 4 months ago
Incremental Linking on HP-UX
The linker is often a time bottleneck in the development of large applications. Traditional linkers process all input files, even if only one or two objects have changed since the...
Dmitry Mikulin, Murali Vijayasundaram, Loreena Won...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 10 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
178
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Basis pursuit for spectrum cartography
A nonparametric version of the basis pursuit method is developed for field estimation. The underlying model entails known bases, weighted by generic functions to be estimated fro...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
162
Voted
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 5 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...