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ICIP
2007
IEEE
16 years 5 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
ICA
2010
Springer
15 years 4 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
102
Voted
VTC
2008
IEEE
104views Communications» more  VTC 2008»
15 years 9 months ago
A Stochastic Model for Non-Stationary Outdoor K-Factor Variation
— A dense urban cellular environment contains many different locations where a line-of-sight or specular signal component from the base station is present. The small scale fading...
Geoffrey G. Messier, Jennifer Hartwell
112
Voted
DIS
1998
Springer
15 years 7 months ago
Automatic Transaction of Signal via Statistical Modeling
The statistical information processing can be characterized by the likelihood function de ned by giving an explicit form for an approximation to the true distribution. This mathema...
Genshiro Kitagawa, Tomoyuki Higuchi
177
Voted
ICDIM
2006
IEEE
15 years 9 months ago
Model-Driven Development of Content-Based Image Retrieval Systems
: Generic systems for content-based image retrieval (CBIR), such as QBIC [7] cannot be used to solve domain-specific image retrieval problems, as for example, the identification of...
Temenushka Ignatova