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SAC
2006
ACM
14 years 1 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
CAV
2006
Springer
132views Hardware» more  CAV 2006»
13 years 11 months ago
Symmetry Reduction for Probabilistic Model Checking
We present an approach for applying symmetry reduction techniques to probabilistic model checking, a formal verification method for the quantitative analysis of systems with stocha...
Marta Z. Kwiatkowska, Gethin Norman, David Parker
SIP
2007
13 years 9 months ago
Adaptive large scale artifact reduction in edge-based image super-resolution
— The goal of multi-frame image super-resolution is to use information from low-resolution images to construct highresolution images. Current multi-frame image super-resolution m...
Alexander Wong, William Bishop
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
14 years 1 days ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic
ICASSP
2007
IEEE
14 years 1 months ago
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
Ming Yang, Senthil Periaswamy, Ying Wu