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» Optimizing Feature Sets for Structured Data
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TNN
2010
154views Management» more  TNN 2010»
13 years 4 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
CVPR
2010
IEEE
14 years 6 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
14 years 3 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
COMPLIFE
2005
Springer
14 years 3 months ago
Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization
During the last few years new functionalities of RNA have been discovered, renewing the need for computational tools for their analysis. To this respect, multiple sequence alignmen...
Markus Bauer, Gunnar W. Klau, Knut Reinert
IPPS
2000
IEEE
14 years 2 months ago
On Sorting an Intransitive Total Ordered Set Using Semi-Heap
1 The problem of sorting an intransitive total ordered set, a generalization of regular sorting, is considered. This generalized sorting is based on the fact that there exists a s...
Jie Wu