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António R. C. Paiva:
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 António R. C. Paiva, JianWu Xu, José Carlos Príncipe
Kernel Principal Components Are Maximum Entropy Projections. [Citation Graph (0, 0)][DBLP] ICA, 2006, pp:846853 [Conf]
 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:302309 [Conf]
 Jeongho Cho, António R. C. Paiva, SungPhil Kim, Justin C. Sanchez, José Carlos Príncipe
Selforganizing maps with dynamic learning for signal reconstruction. [Citation Graph (0, 0)][DBLP] Neural Networks, 2007, v:20, n:2, pp:274284 [Journal]
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. [Citation Graph (, )][DBLP]
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. [Citation Graph (, )][DBLP]
A Closed Form Solution for MultipleInput Spike Based Adaptive Filters. [Citation Graph (, )][DBLP]
Spectral Clustering of Synchronous Spike Trains. [Citation Graph (, )][DBLP]
A Novel Weighted LBG Algorithm for Neural Spike Compression. [Citation Graph (, )][DBLP]
Nonlinear Component Analysis Based on Correntropy. [Citation Graph (, )][DBLP]
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. [Citation Graph (, )][DBLP]
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. [Citation Graph (, )][DBLP]
Reproducing kernel Hilbert spaces for spike train analysis. [Citation Graph (, )][DBLP]
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