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Dennis W. Ruck: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kevin L. Priddy, Steven K. Rogers, Dennis W. Ruck, Gregory L. Tarr, Matthew Kabrisky
    Bayesian selection of important features for feedforward neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1993, v:5, n:2, pp:91-103 [Journal]
  2. Lisa M. Belue, Kenneth W. Bauer Jr., Dennis W. Ruck
    Selecting Optimal Experiments for Multiple Output Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:1, pp:161-183 [Journal]
  3. Steven K. Rogers, John M. Colombi, Curtis E. Martin, James C. Gainey, Kenneth H. Fielding, Tom J. Burns, Dennis W. Ruck, Matthew Kabrisky, Mark E. Oxley
    Neural networks for automatic target recognition. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:7-8, pp:1153-1184 [Journal]
  4. Dennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, Peter S. Maybeck, Mark E. Oxley
    Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1992, v:14, n:6, pp:686-691 [Journal]
  5. Kenneth H. Fielding, Dennis W. Ruck
    Recognition of moving light displays using hidden Markov models. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1995, v:28, n:9, pp:1415-1421 [Journal]
  6. James K. Lee, Matthew Kabrisky, Mark E. Oxley, Steven K. Rogers, Dennis W. Ruck
    The complex cepstrum applied to two-dimensional images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1993, v:26, n:10, pp:1579-1592 [Journal]
  7. Eric Scarborough, J. Brandt, Steven K. Rogers, Philip Amburn, Dennis W. Ruck, M. Ericson
    A Prototype VIsual and Audio Display. [Citation Graph (0, 0)][DBLP]
    Presence, 1992, v:1, n:4, pp:459-467 [Journal]
  8. W. E. Polakowski, D. A. Cournoyer, Steven K. Rogers, Martin P. DeSimio, Dennis W. Ruck, Jeffrey W. Hoffmeister, Richard A. Raines
    Computer-Aided Breast Cancer Detection and Diagnosis of Masses Using Difference of Gaussians and Derivative-Based Feature Saliency. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1997, v:16, n:6, pp:811-819 [Journal]

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