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» Analysis of Multivariate Hash Functions
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IVC
2007
120views more  IVC 2007»
13 years 9 months ago
Modelling and segmentation of colour images in polar representations
The suitability of polar representation for quantitative image processing tasks is investigated. The classical colour polar-based representations (HLS, HSV, etc.) lead to brightne...
Jesús Angulo, Jean Serra
JCC
2007
127views more  JCC 2007»
13 years 9 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
IDA
2002
Springer
13 years 9 months ago
A framework for modelling virus gene expression data
Short, high-dimensional, Multivariate Time Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would b...
Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christi...
ACTA
2008
88views more  ACTA 2008»
13 years 8 months ago
Weighted height of random trees
We consider a model of random trees similar to the split trees of Devroye [30] in which a set of items is recursively partitioned. Our model allows for more flexibility in the cho...
Nicolas Broutin, Luc Devroye, Erin McLeish
JMLR
2010
136views more  JMLR 2010»
13 years 4 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...