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Paul Sajda: [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. Shuyan Du, Paul Sajda, Xiangling Mao, Dikoma C. Shungu
    Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:233-236 [Conf]
  4. An Luo, Paul Sajda, Adam Gerson
    Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:1012-1015 [Conf]
  5. 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]
  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. Paul Sajda, Leif H. Finkel
    Dual Mechanisms for Neural Binding and Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:993-1000 [Conf]
  9. Clay Spence, Paul Sajda
    Applications of Multi-Resolution Neural Networks to Mammography. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:938-944 [Conf]
  10. Jim Wielaard, Paul Sajda
    Neural mechanisms of contrast dependent receptive field size in V1. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  11. Qi Zhao, Radka Stoyanova, Shuyan Du, Paul Sajda, Truman R. Brown
    HiRes - a tool for comprehensive assessment and interpretation of metabolomic data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:20, pp:2562-2564 [Journal]
  12. 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]
  13. 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]
  14. Paul Sajda, Kyungim Baek
    Integration of form and motion within a generative model of visual cortex. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:5-6, pp:809-821 [Journal]
  15. Paul Sajda, Clay Spence, Steve Hsu, John C. Pearson
    Integrating neural networks with image pyramids to learn target context. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:7-8, pp:1143-1152 [Journal]
  16. 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]
  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. Paul Sajda, Clay Spence, John C. Pearson
    Learning contextual relationships in mammograms using a pyramid neural network. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2002, v:21, n:3, pp:239-250 [Journal]

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

  20. Brain state decoding for rapid image retrieval. [Citation Graph (, )][DBLP]

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

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