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» Using a Tensor Framework for the Analysis of Facial Dynamics
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PLDI
1996
ACM
13 years 11 months ago
Commutativity Analysis: A New Analysis Framework for Parallelizing Compilers
This paper presents a new analysis technique, commutativity analysis, for automatically parallelizing computations that manipulate dynamic, pointer-based data structures. Commutat...
Martin C. Rinard, Pedro C. Diniz
FGR
2002
IEEE
197views Biometrics» more  FGR 2002»
14 years 13 days ago
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference...
Jing Xiao, Takeo Kanade, Jeffrey F. Cohn
TMI
2008
138views more  TMI 2008»
13 years 7 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ICIAP
2007
ACM
14 years 7 months ago
Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database
We propose a method for reconstructing 3D face shape from a camera, which captures the object face from various viewing angles. In this method, we do not directly reconstruct the ...
Hideo Saito, Yosuke Ito, Masaaki Mochimaru
NECO
1998
171views more  NECO 1998»
13 years 7 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski