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» A Bayesian Approach to Semi-Supervised Learning
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GPEM
2008
98views more  GPEM 2008»
13 years 8 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
14 years 3 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
AAAI
1996
13 years 10 months ago
A Clinician's Tool for Analyzing Non-Compliance
We describe a computer program to assist a clinician with assessing the e cacy of treatments in experimental studies for which treatment assignment is random but subject complianc...
David Maxwell Chickering, Judea Pearl
CVPR
2007
IEEE
14 years 10 months ago
Quality-Driven Face Occlusion Detection and Recovery
This paper presents a framework to automatically detect and recover the occluded facial region. We first derive a Bayesian formulation unifying the occlusion detection and recover...
Dahua Lin, Xiaoou Tang
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
14 years 3 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart