Clay Spence

According to our database, Clay Spence authored at least 24 papers between 1988 and 2007.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2007

An Iterative Method for Vector Median Filtering.

Clay Spence, Craig L. Fancourt

Proceedings of the International Conference on Image Processing, 2007

2006

Varying complexity in tree-structured image distribution models.

Clay Spence, Lucas C. Parra, Paul Sajda

IEEE Trans. Image Process., 2006

Identification of Highly Similar 3D Objects Using Model Saliency.

Bogdan Matei, Harpreet S. Sawhney, Clay Spence

Proceedings of the Computer Vision, 2006

2005

Recipes for the linear analysis of EEG.

Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda

NeuroImage, 2005

2003

A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis.

Paul Sajda, Clay Spence, Lucas C. Parra

Medical Image Anal., 2003

2002

Learning contextual relationships in mammograms using a pyramid neural network.

Paul Sajda, Clay Spence, John C. Pearson

IEEE Trans. Medical Imaging, 2002

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models.

Paul Sajda, Clay Spence, Lucas C. Parra

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000

On-line Convolutive Blind Source Separation of Non-Stationary Signals.

Lucas C. Parra, Clay Spence

J. VLSI Signal Process., 2000

Convolutive blind separation of non-stationary sources.

Lucas C. Parra, Clay Spence

IEEE Trans. Speech Audio Process., 2000

Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals.

Lucas C. Parra, Clay Spence, Paul Sajda

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Mammographic mass detection with a hierarchical image probability (HIP) model.

Clay D. Spence, Lucas C. Parra, Paul Sajda

Proceedings of the Medical Imaging 2000: Image Processing, 2000

Hierarchical Image Probability (HIP) Models.

Clay Spence, Lucas C. Parra, Paul Sajda

Proceedings of the 2000 International Conference on Image Processing, 2000

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis.

Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa

Proceedings of the 29th Applied Image Pattern Recognition Workshop (AIPR 2000), 2000

1999

Hierarchical Image Probability (H1P) Models.

Clay Spence, Lucas C. Parra

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Unmixing Hyperspectral Data.

Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Applications of Multi-Resolution Neural Networks to Mammography.

Clay Spence, Paul Sajda

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Role of feature selection in building pattern recognizers for computer-aided diagnosis.

Clay D. Spence, Paul Sajda

Proceedings of the Medical Imaging 1998: Image Processing, 1998

1996

Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications.

Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa

Proceedings of the Medical Imaging 1996: Image Processing, 1996

1995

Integrating neural networks with image pyramids to learn target context.

Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson

Neural Networks, 1995

A hierarchical neural network architecture that learns target context: applications to digital mammography.

Paul Sajda, Clay Spence, John C. Pearson

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994

Coarse-to-Fine Image Search Using Neural Networks.

Clay Spence, John C. Pearson, Jim Bergen

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1990

Applications of Neural Networks in Video Signal Processing.

John C. Pearson, Clay Spence, Ronald Sverdlove

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

The Computation of Sound Source Evaluation in the Barn Owl.

Clay Spence, John C. Pearson

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

Neuronal Maps for Sensory-Motor Control in the Barn Owl.

Clay Spence, John C. Pearson, J. J. Gelfand, R. M. Peterson, W. E. Sullivan

Proceedings of the Advances in Neural Information Processing Systems 1, 1988