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» On High Dimensional Skylines
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69
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ICIP
2007
IEEE
15 years 7 months 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...
96
Voted
ICTAI
2007
IEEE
15 years 7 months 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
103
Voted
ISBI
2007
IEEE
15 years 7 months ago
Multiview Registration of Cardiac Tagging Mri Images
This paper introduces a new method based on k-Nearest Neighbors Graphs (KNNG) for bringing into alignment multiple views of the same scene acquired at two different time points. T...
Estanislao Oubel, Mathieu De Craene, Mattia Gazzol...
123
Voted
SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
15 years 7 months 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...
81
Voted
VTC
2007
IEEE
106views Communications» more  VTC 2007»
15 years 7 months ago
Analysis and Design of Dirty Paper Coding by Transformation of Noise
— We design a coding scheme for Costa’s dirty paper coding (DPC) [6] using a channel and a shaping code. We show that by transforming the channel noise distribution the DPC cha...
Young-Seung Lee, Sae-Young Chung