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» Dimensionality reduction and generalization
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DASFAA
2007
IEEE
134views Database» more  DASFAA 2007»
16 years 29 days ago
Eliciting Matters - Controlling Skyline Sizes by Incremental Integration of User Preferences
Today, result sets of skyline queries are unmanageable due to their exponential growth with the number of query predicates. In this paper we discuss the incremental re-computation ...
Wolf-Tilo Balke, Ulrich Güntzer, Christoph Lo...
ICIP
2007
IEEE
16 years 28 days ago
Multiscale Random Projections for Compressive Classification
We propose a framework for exploiting dimension-reducing random projections in detection and classification problems. Our approach is based on the generalized likelihood ratio te...
Marco F. Duarte, Mark A. Davenport, Michael B. Wak...
ICTAI
2007
IEEE
16 years 28 days ago
Constructing VEGGIE: Machine Learning for Context-Sensitive Graph Grammars
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly e...
Keven Ates, Kang Zhang
IJCNN
2007
IEEE
16 years 27 days ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...
SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
16 years 26 days ago
On Exploring Complex Relationships of Correlation Clusters
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
Elke Achtert, Christian Böhm, Hans-Peter Krie...