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MICCAI
2007
Springer
14 years 8 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
CVPR
2008
IEEE
14 years 9 months ago
Local minima free Parameterized Appearance Models
Parameterized Appearance Models (PAMs) (e.g. Eigentracking, Active Appearance Models, Morphable Models) are commonly used to model the appearance and shape variation of objects in...
Minh Hoai Nguyen, Fernando De la Torre
TMI
2010
182views more  TMI 2010»
13 years 6 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICIAR
2004
Springer
14 years 1 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
GLVLSI
2010
IEEE
183views VLSI» more  GLVLSI 2010»
13 years 9 months ago
Semi-analytical model for schottky-barrier carbon nanotube and graphene nanoribbon transistors
This paper describes a physics-based semi-analytical model for Schottky-barrier carbon nanotube (CNT) and graphene nanoribbon (GNR) transistors. The model includes the treatment o...
Xuebei Yang, Gianluca Fiori, Giuseppe Iannaccone, ...