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JMLR
2010
218views more  JMLR 2010»
10 years 8 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao

Presentation
896views
10 years 10 months ago
Exponential families and simplification of mixture models
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
ICASSP
2010
IEEE
11 years 1 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
NIPS
2004
11 years 2 months ago
Exponential Family Harmoniums with an Application to Information Retrieval
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...
Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
NIPS
2008
11 years 2 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
11 years 7 months ago
Imprecise probability models for inference in exponential families
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
Erik Quaeghebeur, Gert de Cooman
SCALESPACE
2009
Springer
11 years 8 months ago
Optimization of Divergences within the Exponential Family for Image Segmentation
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
François Lecellier, Stéphanie Jehan-...
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