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» Disjoint Segments with Maximum Density
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ICASSP
2008
IEEE
15 years 4 months ago
Newton method for the ICA mixture model
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
97
Voted
ECCV
2004
Springer
15 years 11 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
ICANN
2009
Springer
15 years 2 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
104
Voted
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
14 years 10 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
TON
2010
152views more  TON 2010»
14 years 7 months ago
1 + N network protection for mesh networks: network coding-based protection using p-cycles
—p-Cycles have been proposed for preprovisioned 1 : N protection in optical mesh networks. Although the protection circuits are preconfigured, the detection of failures and the ...
Ahmed E. Kamal