109 search results - page 8 / 22 » SRDA: An Efficient Algorithm for Large-Scale Discriminant An... |
96
Voted
ICPR
2008
IEEE
16 years 28 days ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
112
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
106
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
SODA
2004
ACM
15 years 1 months ago
2004
ACM
We study the average-case performance of algorithms for the binary knapsack problem. Our focus lies on the analysis of so-called core algorithms, the predominant algorithmic conce...
JMLR
2006
14 years 11 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...