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FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
16 years 1 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
ICPR
2004
IEEE
16 years 7 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
ICCD
2001
IEEE
154views Hardware» more  ICCD 2001»
16 years 3 months ago
Performance Optimization By Wire and Buffer Sizing Under The Transmission Line Model
As the operating frequency increases to Giga Hertz and the rise time of a signal is less than or comparable to the time-of-flight delay of a line, it is necessary to consider the...
Tai-Chen Chen, Song-Ra Pan, Yao-Wen Chang
AAAI
2007
15 years 8 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
ICTAI
2010
IEEE
15 years 3 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...