Neuronal maps for sensory-motor control in the barn owl. - John C. Pearson; Clay Spence; J. J. Gelfand; W. E. Sullivan; R. M. Peterson (Neural Networks, 1988)

The Computation of Sound Source Evaluation in the Barn Owl. - Clay Spence; John C. Pearson (NIPS, 1989)

Applications of Neural Networks in Video Signal Processing. - John C. Pearson; Clay Spence; Ronald Sverdlove (NIPS, 1990)

Coarse-to-Fine Image Search Using Neural Networks. - Clay Spence; John C. Pearson; Jim Bergen (NIPS, 1994)

A hierarchical neural network architecture that learns target context: applications to digital mammography. - Paul Sajda; Clay Spence; John C. Pearson (ICIP (3), 1995)

Integrating neural networks with image pyramids to learn target context. - Paul Sajda; Clay Spence; Steven C. Hsu; John C. Pearson (Neural Networks, 1995)

Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. - Paul Sajda; Clay D. Spence; John C. Pearson; Robert M. Nishikawa (Image Processing, 1996)

Role of feature selection in building pattern recognizers for computer-aided diagnosis. - Clay D. Spence; Paul Sajda (Image Processing, 1998)

Applications of Multi-Resolution Neural Networks to Mammography. - Clay Spence; Paul Sajda (NIPS, 1998)

Unmixing Hyperspectral Data. - Lucas C. Parra; Clay Spence; Paul Sajda; Andreas Ziehe; Klaus-Robert Müller (NIPS, 1999)

Hierarchical Image Probability (H1P) Models. - Clay Spence; Lucas C. Parra (NIPS, 1999)

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. - Paul Sajda; Clay Spence; Lucas C. Parra; Robert M. Nishikawa (AIPR, 2000)

Hierarchical Image Probability (HIP) Models. - Clay Spence; Lucas C. Parra; Paul Sajda (ICIP, 2000)

Mammographic mass detection with a hierarchical image probability (HIP) model. - Clay D. Spence; Lucas C. Parra; Paul Sajda (Image Processing, 2000)

Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. - Lucas C. Parra; Clay Spence; Paul Sajda (NIPS, 2000)

Convolutive blind separation of non-stationary sources. - Lucas C. Parra; Clay Spence (IEEE Trans. Speech Audio Process., 2000)

On-line Convolutive Blind Source Separation of Non-Stationary Signals. - Lucas C. Parra; Clay Spence (J. VLSI Signal Process., 2000)

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. - Paul Sajda; Clay Spence; Lucas C. Parra (ISBI, 2002)

Learning contextual relationships in mammograms using a pyramid neural network. - Paul Sajda; Clay Spence; John C. Pearson (IEEE Trans. Medical Imaging, 2002)

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)

Recipes for the linear analysis of EEG. - Lucas C. Parra; Clay D. Spence; Adam D. Gerson; Paul Sajda (NeuroImage, 2005)

Identification of Highly Similar 3D Objects Using Model Saliency. - Bogdan Matei; Harpreet S. Sawhney; Clay Spence (ECCV (4), 2006)

Varying complexity in tree-structured image distribution models. - Clay Spence; Lucas C. Parra; Paul Sajda (IEEE Trans. Image Process., 2006)

An Iterative Method for Vector Median Filtering. - Clay Spence; Craig L. Fancourt (ICIP (5), 2007)