Clay Spence

21 papers B 1Journal 7Unranked 13
YearRankTypeTitle / Venue / Authors
2007 — conf
An Iterative Method for Vector Median Filtering.
ICIP (5)
Clay Spence, Craig L. Fancourt
2006 — conf
Identification of Highly Similar 3D Objects Using Model Saliency.
ECCV (4)
Bogdan Matei, Harpreet S. Sawhney, Clay Spence
2006 J jnl
Varying complexity in tree-structured image distribution models.
IEEE Trans. Image Process.
Clay Spence, Lucas C. Parra, Paul Sajda
2003 J jnl
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis.
Medical Image Anal.
Paul Sajda, Clay Spence, Lucas C. Parra
2002 — conf
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models.
ISBI
Paul Sajda, Clay Spence, Lucas C. Parra
2002 J jnl
Learning contextual relationships in mammograms using a pyramid neural network.
IEEE Trans. Medical Imaging
Paul Sajda, Clay Spence, John C. Pearson
2000 J jnl
Convolutive blind separation of non-stationary sources.
IEEE Trans. Speech Audio Process.
Lucas C. Parra, Clay Spence
2000 B conf
Hierarchical Image Probability (HIP) Models.
ICIP
Clay Spence, Lucas C. Parra, Paul Sajda
2000 — conf
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis.
AIPR
Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
2000 — conf
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals.
NIPS
Lucas C. Parra, Clay Spence, Paul Sajda
2000 J jnl
On-line Convolutive Blind Source Separation of Non-Stationary Signals.
J. VLSI Signal Process.
Lucas C. Parra, Clay Spence
1999 — conf
Hierarchical Image Probability (H1P) Models.
NIPS
Clay Spence, Lucas C. Parra
1999 — conf
Unmixing Hyperspectral Data.
NIPS
Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
1998 — conf
Applications of Multi-Resolution Neural Networks to Mammography.
NIPS
Clay Spence, Paul Sajda
1995 — conf
A hierarchical neural network architecture that learns target context: applications to digital mammography.
ICIP (3)
Paul Sajda, Clay Spence, John C. Pearson
1995 J jnl
Integrating neural networks with image pyramids to learn target context.
Neural Networks
Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson
1994 — conf
Coarse-to-Fine Image Search Using Neural Networks.
NIPS
Clay Spence, John C. Pearson, Jim Bergen
1990 — conf
Applications of Neural Networks in Video Signal Processing.
NIPS
John C. Pearson, Clay Spence, Ronald Sverdlove
1989 — conf
The Computation of Sound Source Evaluation in the Barn Owl.
NIPS
Clay Spence, John C. Pearson
1988 — conf
Neuronal Maps for Sensory-Motor Control in the Barn Owl.
NIPS
Clay Spence, John C. Pearson, J. J. Gelfand, R. M. Peterson, W. E. Sullivan
1988 J jnl
Neuronal maps for sensory-motor control in the barn owl.
Neural Networks
John C. Pearson, Clay Spence, J. J. Gelfand, W. E. Sullivan, R. M. Peterson