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António R. C. Paiva: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe
    Kernel Principal Components Are Maximum Entropy Projections. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:846-853 [Conf]
  2. António R. C. Paiva, Armando J. Pinho
    Evaluation of Some Reordering Techniques for Image VQ Index Compression. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2004, pp:302-309 [Conf]
  3. Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe
    Self-organizing maps with dynamic learning for signal reconstruction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:2, pp:274-284 [Journal]

  4. A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. [Citation Graph (, )][DBLP]

  5. Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. [Citation Graph (, )][DBLP]

  6. A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. [Citation Graph (, )][DBLP]

  7. Spectral Clustering of Synchronous Spike Trains. [Citation Graph (, )][DBLP]

  8. A Novel Weighted LBG Algorithm for Neural Spike Compression. [Citation Graph (, )][DBLP]

  9. Nonlinear Component Analysis Based on Correntropy. [Citation Graph (, )][DBLP]

  10. A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. [Citation Graph (, )][DBLP]

  11. Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. [Citation Graph (, )][DBLP]

  12. Reproducing kernel Hilbert spaces for spike train analysis. [Citation Graph (, )][DBLP]

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