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CSDA
2010
208views more  CSDA 2010»
15 years 4 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
ASSETS
2005
ACM
15 years 6 months ago
Toward Goldilocks' pointing device: determining a "just right" gain setting for users with physical impairments
We designed and evaluated an agent that recommends a pointing device gain for a given user, with mixed success. 12 participants with physical impairments used the Input Device Age...
Heidi Horstmann Koester, Edmund F. LoPresti, Richa...
ICASSP
2011
IEEE
14 years 7 months ago
Extended array method for detection and direction finding of a weak linear frequency modulated signal
A well known computationally efficient method for parameters estimation of linear frequency modulated (LFM) signals is to mix the received signals with a shifted version of itsel...
Songsri Sirianunpiboon
BIOINFORMATICS
2005
151views more  BIOINFORMATICS 2005»
15 years 4 months ago
Differential and trajectory methods for time course gene expression data
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
CVPR
2008
IEEE
16 years 6 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