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Nathan Intrator: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kio Kim, Nicola Neretti, Nathan Intrator
    Video Enhancement for Underwater Exploration Using Forward Looking Sonar. [Citation Graph (0, 0)][DBLP]
    ACIVS, 2006, pp:554-563 [Conf]
  2. Ariel Tankus, Hezy Yeshurun, Nathan Intrator
    Face Detection by Direct Convexity Estimation. [Citation Graph (0, 0)][DBLP]
    AVBPA, 1997, pp:43-50 [Conf]
  3. Shimon Edelman, Nathan Intrator, Judah S. Jacobson
    Unsupervised Learning of Visual Structure. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2002, pp:629-642 [Conf]
  4. Shimon Cohen, Nathan Intrator
    Ensemble of hybrid networks with strong regularization. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:337-342 [Conf]
  5. Tal Steinherz, Nathan Intrator, Ehud Rivlin
    Skew Detection via Principal Components Analysis. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:153-156 [Conf]
  6. Inna Stainvas, Nathan Intrator
    Blurred Face Recognition via a Hybrid Network Architecture. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2805-2808 [Conf]
  7. Shimon Cohen, Nathan Intrator
    A Hybrid Projection Based and Radial Basis Function Architecture. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:147-156 [Conf]
  8. Shimon Cohen, Nathan Intrator
    Automatic Model Selection in a Hybrid Perceptron/Radial Network. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:440-454 [Conf]
  9. Shimon Cohen, Nathan Intrator
    Forward and Backward Selection in Regression Hybrid Network. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:98-107 [Conf]
  10. Shimon Cohen, Nathan Intrator
    A Study of Ensemble of Hybrid Networks with Strong Regularization. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:227-235 [Conf]
  11. Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper
    Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  12. Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Nathan Intrator
    Probabilistic principles in unsupervised learning of visual structure: human data and a model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:19-26 [Conf]
  13. Shimon Edelman, Nathan Intrator
    A Productive, Systematic Framework for the Representation of Visual Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:10-16 [Conf]
  14. David Horn, Ury Naftaly, Nathan Intrator
    Large Ensemble Averaging. [Citation Graph (0, 0)][DBLP]
    Neural Networks: Tricks of the Trade, 1996, pp:133-139 [Conf]
  15. Nathan Intrator
    A Neural Network for Feature Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:719-726 [Conf]
  16. Nathan Intrator
    Exploratory Feature Extraction in Speech Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:241-247 [Conf]
  17. Nathan Intrator
    On the Use of Projection Pursuit Constraints for Training Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:3-10 [Conf]
  18. Nathan Intrator, Josh I. Gold, Heinrich H. Bülthoff, Shimon Edelman
    3D Object Recognition Using Unsupervised Feature Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:460-467 [Conf]
  19. Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf
    Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  20. Shimon Edelman, Nathan Intrator
    Towards structural systematicity in distributed, statically bound visual representations. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 2003, v:27, n:1, pp:73-109 [Journal]
  21. Shimon Edelman, Nathan Intrator
    Better limited systematicity in hand than structural descriptions in the bush: A reply to Hummel. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 2003, v:27, n:2, pp:331-332 [Journal]
  22. Yuval Raviv, Nathan Intrator
    Bootstrapping with Noise: An Effective Regularization Technique. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1996, v:8, n:3, pp:355-372 [Journal]
  23. Nathan Intrator
    Making a Low-dimensional Representation Suitable for Diverse Tasks. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1996, v:8, n:2, pp:205-224 [Journal]
  24. Tal Steinherz, Ehud Rivlin, Nathan Intrator
    Offline cursive script word recognition - a survey. [Citation Graph (0, 0)][DBLP]
    IJDAR, 1999, v:2, n:2-3, pp:90-110 [Journal]
  25. Daniel Remondini, Nathan Intrator, Gastone C. Castellani, F. Bersani, Leon N. Cooper
    Optimal spontaneous activity in neural network modeling. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:591-595 [Journal]
  26. Shimon Cohen, Nathan Intrator
    On Different Model Selection Criteria In A Forward And Backward Regression Hybrid Network. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:5, pp:847-865 [Journal]
  27. Shimon Cohen, Nathan Intrator
    Automatic model selection in a hybrid perceptron/radial network. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:4, pp:259-266 [Journal]
  28. Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani
    The Effect of Noise on a Class of Energy-Based Learning Rules. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:7, pp:1621-1640 [Journal]
  29. Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper
    Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:7, pp:1797-1813 [Journal]
  30. Ran Avnimelech, Nathan Intrator
    Boosted Mixture Of Experts: An Ensemble Learning Scheme. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:483-497 [Journal]
  31. Ran Avnimelech, Nathan Intrator
    Boosting Regression Estimators. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:499-520 [Journal]
  32. Nathan Intrator, Leon N. Cooper
    Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:1, pp:3-17 [Journal]
  33. Shimon Cohen, Nathan Intrator
    A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:113-120 [Journal]
  34. Tal Steinherz, Ehud Rivlin, Nathan Intrator, Predrag Neskovic
    An Integration of Online and Pseudo-Online Information for Cursive Word Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:5, pp:669-683 [Journal]
  35. Nathan Intrator, Daniel Reisfeld, Yehezkel Yeshurun
    Face recognition using a hybrid supervised/unsupervised neural network. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:1, pp:67-76 [Journal]
  36. Ariel Tankus, Yehezkel Yeshurun, Nathan Intrator
    Face detection by direct convexity estimation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:9, pp:913-922 [Journal]
  37. Omer Berkman, Nathan Intrator
    Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:479-489 [Conf]
  38. Terry Windeatt, Matthew Prior, Niv Effron, Nathan Intrator
    Ensemble-based Feature Selection Criteria. [Citation Graph (0, 0)][DBLP]
    MLDM Posters, 2007, pp:168-182 [Conf]

  39. Acoustic Indices of Cardiac Functionality. [Citation Graph (, )][DBLP]


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