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PAMI
2012
13 years 9 months ago
UBoost: Boosting with the Universum
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang
CASCON
2001
148views Education» more  CASCON 2001»
15 years 8 months ago
A Pareto model for OLAP view size estimation
On Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to qu...
Thomas P. Nadeau, Toby J. Teorey
CVPR
2006
IEEE
16 years 9 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICPR
2008
IEEE
16 years 1 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
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
16 years 1 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