Sciweavers

135 search results - page 3 / 27
» Kernel methods and the exponential family
Sort
View
ICASSP
2010
IEEE
13 years 8 months ago
Exponentially embedded families for multimodal sensor processing
The exponential embedding of two or more probability density functions (PDFs) is proposed for multimodal sensor processing. It approximates the unknown PDF by exponentially embedd...
Steven Kay, Quan Ding
CORR
2008
Springer
100views Education» more  CORR 2008»
13 years 8 months ago
Statistical region-based active contours with exponential family observations
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
François Lecellier, Stéphanie Jehan-...
EMNLP
2009
13 years 6 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen
ICASSP
2011
IEEE
13 years 5 days ago
Probabilistic distance SVM with Hellinger-Exponential Kernel for sound event classification
This paper presents a novel method for sound event classification based on probabilistic distance SVM. The basic idea is to embed probabilistic distances into classical SVM to cl...
Tran Huy Dat, Haizhou Li
IJCNN
2007
IEEE
14 years 2 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...