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ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
14 years 29 days ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
CVPR
2009
IEEE
1453views Computer Vision» more  CVPR 2009»
14 years 10 months ago
Learning Photometric Invariance From Diversified Color Model Ensembles
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the i...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
13 years 11 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
VR
1999
IEEE
189views Virtual Reality» more  VR 1999»
13 years 10 months ago
Cloning and Aging in a VR Family
Face cloning and animation considering wrinkle formation and aging are an aspiring goal and a challenging task. This paper describes a cloning method and an aging simulation in a ...
Won-Sook Lee, Yin Wu, Nadia Magnenat-Thalmann
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 2 hour ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál