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Lucas C. Parra: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
    Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    AIPR, 2000, pp:159-165 [Conf]
  2. Clay Spence, Lucas C. Parra, Paul Sajda
    Hierarchical Image Probability (HIP) Models. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  3. Paul Sajda, Clay Spence, Lucas C. Parra
    Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:165-168 [Conf]
  4. Anthony J. Bell, Lucas C. Parra
    Maximising Sensitivity in a Spiking Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Lucas C. Parra
    Symplectic Nonlinear Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:437-443 [Conf]
  6. Lucas C. Parra, Clay Spence, Paul Sajda
    Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:786-792 [Conf]
  7. Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
    Unmixing Hyperspectral Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:942-948 [Conf]
  8. Barak A. Pearlmutter, Lucas C. Parra
    Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:613-619 [Conf]
  9. Clay Spence, Lucas C. Parra
    Hierarchical Image Probability (H1P) Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:848-854 [Conf]
  10. Lucas C. Parra
    Temporal Models in Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    Summer School on Neural Networks, 1997, pp:229-247 [Conf]
  11. Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
    Single-trial detection in EEG and MEG: Keeping it linear. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:177-183 [Journal]
  12. Lucas C. Parra, Paul Sajda
    Blind Source Separation via Generalized Eigenvalue Decomposition. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1261-1269 [Journal]
  13. Gustavo Deco, Lucas C. Parra
    Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:4, pp:683-691 [Journal]
  14. Lucas C. Parra, Gustavo Deco
    Continuous Boltzmann machine with rotor neurons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:3, pp:375-385 [Journal]
  15. Clay Spence, Lucas C. Parra, Paul Sajda
    Varying complexity in tree-structured image distribution models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:2, pp:319-330 [Journal]
  16. Lucas C. Parra, Harrison H. Barrett
    List-Mode Likelihood EM Algorithm and Noise Estimation Demonstrated on 2D-PET. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1998, v:17, n:2, pp:228-235 [Journal]
  17. Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra
    Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:12, pp:1453-1465 [Journal]

  18. Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. [Citation Graph (, )][DBLP]


  19. Second Order Bilinear Discriminant Analysis for single trial EEG analysis. [Citation Graph (, )][DBLP]


  20. Adaptive Template Matching with Shift-Invariant Semi-NMF. [Citation Graph (, )][DBLP]


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