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Journal Articles
- 2006
[j8]Clay Spence, Lucas C. Parra, Paul Sajda:
Varying complexity in tree-structured image distribution models. IEEE Trans. Image Process. 15(2): 319-330 (2006)- 2005
- [j7]Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda:
Recipes for the linear analysis of EEG. NeuroImage 28(2): 326-341 (2005) - 2003
- [j6]Paul Sajda, Clay Spence, Lucas C. Parra:
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Anal. 7(2): 187-204 (2003) - 2002
- [j5]Paul Sajda, Clay Spence, John C. Pearson:
Learning contextual relationships in mammograms using a pyramid neural network. IEEE Trans. Medical Imaging 21(3): 239-250 (2002) - 2000
- [j4]Lucas C. Parra, Clay Spence:
Convolutive blind separation of non-stationary sources. IEEE Trans. Speech Audio Process. 8(3): 320-327 (2000) - [j3]Lucas C. Parra, Clay Spence:
On-line Convolutive Blind Source Separation of Non-Stationary Signals. J. VLSI Signal Process. 26(1-2): 39-46 (2000) - 1995
- [j2]Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson:
Integrating neural networks with image pyramids to learn target context. Neural Networks 8(7-8): 1143-1152 (1995) - 1988
- [j1]John C. Pearson, Clay Spence, J. J. Gelfand, W. E. Sullivan, R. M. Peterson:
Neuronal maps for sensory-motor control in the barn owl. Neural Networks 1(Supplement-1): 353-354 (1988)
Conference and Workshop Papers
- 2007
- [c17]Clay Spence, Craig L. Fancourt:
An Iterative Method for Vector Median Filtering. ICIP (5) 2007: 265-268 - 2006
- [c16]Bogdan Matei, Harpreet S. Sawhney, Clay Spence:
Identification of Highly Similar 3D Objects Using Model Saliency. ECCV (4) 2006: 476-489 - 2002
- [c15]Paul Sajda, Clay Spence, Lucas C. Parra:
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168 - 2000
- [c14]Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
:
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165 - [c13]Clay Spence, Lucas C. Parra, Paul Sajda:
Hierarchical Image Probability (HIP) Models. ICIP 2000: 320-323 - [c12]Clay D. Spence, Lucas C. Parra, Paul Sajda:
Mammographic mass detection with a hierarchical image probability (HIP) model. Medical Imaging: Image Processing 2000 - [c11]Lucas C. Parra, Clay Spence, Paul Sajda:
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792 - 1999
- [c10]Clay Spence, Lucas C. Parra:
Hierarchical Image Probability (H1P) Models. NIPS 1999: 848-854 - [c9]Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller:
Unmixing Hyperspectral Data. NIPS 1999: 942-948 - 1998
- [c8]Clay D. Spence, Paul Sajda:
Role of feature selection in building pattern recognizers for computer-aided diagnosis. Medical Imaging: Image Processing 1998 - [c7]Clay Spence, Paul Sajda:
Applications of Multi-Resolution Neural Networks to Mammography. NIPS 1998: 938-944 - 1996
- [c6]Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa:
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Medical Imaging: Image Processing 1996 - 1995
- [c5]Paul Sajda, Clay Spence, John C. Pearson:
A hierarchical neural network architecture that learns target context: applications to digital mammography. ICIP (3) 1995: 149-151 - 1994
- [c4]Clay Spence, John C. Pearson, Jim Bergen:
Coarse-to-Fine Image Search Using Neural Networks. NIPS 1994: 981-988 - 1990
- [c3]John C. Pearson, Clay Spence, Ronald Sverdlove:
Applications of Neural Networks in Video Signal Processing. NIPS 1990: 289-295 - 1989
- [c2]Clay Spence, John C. Pearson:
The Computation of Sound Source Evaluation in the Barn Owl. NIPS 1989: 10-17 - 1988
- [c1]Clay Spence, John C. Pearson, J. J. Gelfand, R. M. Peterson, W. E. Sullivan:
Neuronal Maps for Sensory-Motor Control in the Barn Owl. NIPS 1988: 366-374
Coauthor Index
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