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BMCBI
2007
128views more  BMCBI 2007»
14 years 12 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
CVPR
2008
IEEE
16 years 1 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
KI
2009
Springer
15 years 6 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...