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

, , , and . AIPR, page 159-165. IEEE Computer Society, (2000)

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Learning contextual relationships in mammograms using a pyramid neural network., , and . IEEE Trans. Med. Imaging, 21 (3): 239-250 (2002)A hierarchical neural network architecture that learns target context: applications to digital mammography., , and . ICIP (3), page 149-151. IEEE Computer Society, (1995)An Iterative Method for Vector Median Filtering., and . ICIP (5), page 265-268. IEEE, (2007)Varying complexity in tree-structured image distribution models., , and . IEEE Trans. Image Processing, 15 (2): 319-330 (2006)The Computation of Sound Source Evaluation in the Barn Owl., and . NIPS, page 10-17. Morgan Kaufmann, (1989)Neuronal Maps for Sensory-Motor Control in the Barn Owl., , , , and . NIPS, page 366-374. Morgan Kaufmann, (1988)On-line Convolutive Blind Source Separation of Non-Stationary Signals., and . VLSI Signal Processing, 26 (1-2): 39-46 (2000)Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis., , , and . AIPR, page 159-165. IEEE Computer Society, (2000)Hierarchical Image Probability (HIP) Models., , and . ICIP, page 320-323. IEEE, (2000)A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis., , and . Medical Image Anal., 7 (2): 187-204 (2003)