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ICIP
2009
IEEE
14 years 7 months ago
Non-parametric natural image matting
Natural image matting is an extremely challenging image processing problem due to its ill-posed nature. It often requires skilled user interaction to aid definition of foreground ...
Muhammad Sarim, Adrian Hilton, Jean-Yves Guillemau...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
15 years 10 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
VLSM
2005
Springer
15 years 3 months ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
PAMI
2006
114views more  PAMI 2006»
14 years 9 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
AUTOMATICA
2008
69views more  AUTOMATICA 2008»
14 years 9 months ago
Optimal sensor locations for nonparametric identification of viscoelastic materials
: The problem of optimal sensor locations in nonparametric identification of viscoelastic materials is considered. Different criteria of the covariance matrix, connected to A- and ...
Agnes Rensfelt, Saed Mousavi, Magnus Mossberg, Tor...