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CVPR
2001
IEEE
15 years 11 days ago
A Bayesian Approach to Digital Matting
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...
ICIAP
2003
ACM
14 years 10 months ago
Object segmentation using feature based conditional morphology
This paper presents a new technique to segment objects of interest from cluttered background with varying edge densities and illumination conditions from gray scale imagery. An op...
M. Raffay Hamid, Aijaz Baloch, Ahmed Bilal, Nauman...
JMLR
2011
142views more  JMLR 2011»
13 years 5 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
ICML
2010
IEEE
13 years 11 months ago
Gaussian Process Change Point Models
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Yunus Saatci, Ryan Turner, Carl Edward Rasmussen
IPMI
2009
Springer
14 years 5 months ago
Estimating the Confidence of Statistical Model Based Shape Prediction
We propose a method for estimating confidence regions around shapes predicted from partial observations, given a statistical shape model. Our method relies on the estimation of the...
Rémi Blanc, Ekaterina Syrkina, Gábor...