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CVPR
2003
IEEE
16 years 8 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
MICCAI
2003
Springer
16 years 7 months ago
Mesh Topology Identification for Mass-Spring Models
In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and...
Gábor Székely, Gérald Bianchi...

Publication
338views
16 years 5 months ago
Shape from Shading with a Generalized Reflectance Map Model
Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions on surface properties and imaging geometry to simplify the problem, namely, ...
Kyoung Mu Lee (Seoul National University), C.-C. J...
ICCAD
2007
IEEE
123views Hardware» more  ICCAD 2007»
16 years 3 months ago
Mapping model with inter-array memory sharing for multidimensional signal processing
Abstract – The storage requirements in data-intensive signal processing systems (including applications in video and image processing, artificial vision, medical imaging, real-t...
Ilie I. Luican, Hongwei Zhu, Florin Balasa
SUM
2009
Springer
16 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti