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Texture Classification from Random Features

Type: Journal Paper

Author : Li Liu; Fieguth, P.

Publisher: IEEE

Year: 2012

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Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging

Type: Journal Paper

Author : Wong, A.; Scharcanski, J.; Fieguth, P.

Year: 2011

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Multi-modal image registration using structural features

Type: Conference Paper

Author : Kasiri, K.; Clausi, D.A.; Fieguth, P.

Publisher: IEEE

Year: 2014

Decoupled Active Contour (DAC) for Boundary Detection

Type: Journal Paper

Author : Mishra, A.K.; Fieguth, P.W.; Clausi, D.A.

Publisher: IEEE

Year: 2011

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Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques

Type: Conference Paper

Author : Shafiee, M.J.; Wong, A.; Siva, P.; Fieguth, P.

Publisher: IEEE

Year: 2014

A new Mercer sigmoid kernel for clinical data classification

Type: Conference Paper

Author : Carrington, A.M.; Fieguth, P.W.; Chen, H.H.

Publisher: IEEE

Year: 2014

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Texture Classification from Random Features

Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging

Multi-modal image registration using structural features

Decoupled Active Contour (DAC) for Boundary Detection

Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques

A new Mercer sigmoid kernel for clinical data classification

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Texture Classification from Random Features

Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging

Multi-modal image registration using structural features

Decoupled Active Contour (DAC) for Boundary Detection

Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques

A new Mercer sigmoid kernel for clinical data classification