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» Dimensionality Reduction for Classification
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PRL
2008
152views more  PRL 2008»
15 years 3 months ago
WND-CHARM: Multi-purpose image classification using compound image transforms
We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classificati...
Nikita Orlov, Lior Shamir, Tomasz J. Macura, Josia...
BMCBI
2007
173views more  BMCBI 2007»
15 years 3 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ISCAS
2008
IEEE
136views Hardware» more  ISCAS 2008»
15 years 9 months ago
VLSI architecture for data-reduced steering matrix feedback in MIMO systems
Abstract— Beamforming (BF) for multiple-input multipleoutput (MIMO) wireless communications systems can improve the error rate performance by spatial separation of the transmitte...
Christoph Studer, Peter Luethi, Wolfgang Fichtner
CONTEXT
2007
Springer
15 years 9 months ago
Between Symbol and Language-in-use
Indexing is often designed with the intent of dimensional reduction, that is, of generating standardised and uniform descriptive metadata. This could be characterised as a process ...
Emma Tonkin
JMLR
2010
132views more  JMLR 2010»
14 years 10 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...