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Papers authored by Junbin Gao

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2009 A. Benter, R. Xu, W. Moore, M. Antolovich, Junbin Gao

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Fragment size detection within homogeneous material using Ground Penetrating Radar

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Junbin Gao, Jun Zhang, Junbin Gao

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, Jun Zhang, David Tien

Relevance Units Latent Variable Model and Nonlinear Dimensionality Reduction

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Jun Zhang, Junbin Gao

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, Jinwen Tian

Relevance units machine based on Akaike's information criterion

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Junbin Gao

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, Paul W. Kwan, Daming Shi

Sparse kernel learning with LASSO and Bayesian inference algorithm

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Junbin Gao

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, Jun Zhang

Sparse Kernel Learning and the Relevance Units Machine

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Paul Wing Hing Kwan, Kwan Ph, Junbin Gao

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, Graham Leedham

A User-Centered Framework for Adaptive Fingerprint Identification

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Junbin Gao

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, Kwan Ph, Paul Wing Hing Kwan, Xiaodi Huang

Comprehensive Analysis for the Local Fisher Discriminant Analysis

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J. Zhang, J. Gao

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, D. Tien, S. Zeng

RUM based calcium pulse modeling

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Yi Guo, Kwan Ph, Junbin Gao

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, Paul W. Kwan

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data

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Junbin Gao

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, Kwan Ph, Paul Wing Hing Kwan, Yi Guo

Robust multivariate L1 principal component analysis and dimensionality reduction

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J. Zhang, J. Gao

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, D. Tien, J. Tian

A new organization method for massive raster data and vector data

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2008 Xiaodi Huang, Jianming Yong, Xiaodi Huang, Jianming Yong, Jiuyong Li, Jiuyong Li, Junbin Gao, Junbin Gao

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Prediction of student actions using weighted Markov models

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Yi Guo, Junbin Gao

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, Paul W. Kwan

Twin Kernel Embedding

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Richard Yi Da Xu, Junbin Gao

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, Michael Antolovich

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras

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Junbin Gao

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Robust L1 Principal Component Analysis and Its Bayesian Variational Inference

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Junbin Gao

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, Michael Antolovich, Paul Wing Hing Kwan

L1 LASSO Modeling and Its Bayesian Inference

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A. A. O'Connor, B. J. Gao

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, C. J. Louis

Using a Stochastic Funnel to find NLR starting values

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2007 Junbin Gao

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, Richard Y. Xu

Mixture of the Robust L1 Distributions and Its Applications

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Junbin Gao

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, Paul W. H. Kwan, Yi Guo

Robust L1 PCA and application in image denoising

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Junbin Gao

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, Daming Shi, Xiaomao Liu

Significant vector learning to construct sparse kernel regression models

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