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» Feature selection with nonparametric statistics
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ICPR
2008
IEEE
16 years 26 days ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
90
Voted
NIPS
2008
15 years 1 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
82
Voted
WSC
2001
15 years 1 months ago
Statistical selection of the best system
This tutorial discusses some statistical procedures for selecting the best of a number of competing systems. The term "best" may refer to that simulated system having, s...
David Goldsman, Barry L. Nelson
99
Voted
ECCV
2006
Springer
16 years 1 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
81
Voted
QSIC
2008
IEEE
15 years 6 months ago
Fault Localization with Non-parametric Program Behavior Model
Fault localization is a major activity in software debugging. Many existing statistical fault localization techniques compare feature spectra of successful and failed runs. Some a...
Peifeng Hu, Zhenyu Zhang, Wing Kwong Chan, T. H. T...