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ICPR
2008
IEEE
15 years 11 months ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau
ICPR
2008
IEEE
15 years 11 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
PRDC
2008
IEEE
15 years 11 months ago
On Modeling the Lifetime Reliability of Homogeneous Manycore Systems
Advancements in technology enable integration of a large number of cores on a single silicon die. At the same time, aggressive technology scaling has an ever-increasing adverse im...
Lin Huang, Qiang Xu
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
15 years 11 months ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
ECML
2007
Springer
15 years 11 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou