António R. C. Paiva

Publication Activity (10 Years)

Years Active: 2004-2017
Publications (10 Years): 1

Top Topics

Kernel Matrices

Characteristic Features

Positive Semi Definite

Microscopy Images

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

IEEE Signal Process. Mag.

Neuroinformatics

Publications

António R. C. Paiva
Information-theoretic dataset selection for fast kernel learning. IJCNN (2017)
Elizabeth Jurrus, Shigeki Watanabe, Richard J. Giuly, António R. C. Paiva, Mark H. Ellisman, Erik M. Jorgensen, Tolga Tasdizen
Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images. Neuroinformatics 11 (1) (2013)
Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial. IEEE Signal Process. Mag. 30 (4) (2013)
António R. C. Paiva, Tolga Tasdizen
Fingerprint Image Segmentation using Data Manifold Characteristic Features. Int. J. Pattern Recognit. Artif. Intell. 26 (4) (2012)
Luke Hogrebe, António R. C. Paiva, Elizabeth Jurrus, Cameron Christensen, Michael Bridge, Julie R. Korenberg, Tolga Tasdizen
Trace driven registration of neuron confocal microscopy stacks. ISBI (2011)
Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen
Fast AdaBoost training using weighted novelty selection. IJCNN (2011)
António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen
Using Sequential Context for Image Analysis. ICPR (2010)
António R. C. Paiva, Il Park, José C. Príncipe
A comparison of binless spike train measures. Neural Comput. Appl. 19 (3) (2010)
António R. C. Paiva, Tolga Tasdizen
Detection of Salient Image Points Using Principal Subspace Manifold Structure. ICPR (2010)
Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen
Image Parsing with a Three-State Series Neural Network Classifier. ICPR (2010)
Elizabeth Jurrus, António R. C. Paiva, Shigeki Watanabe, James R. Anderson, Bryan W. Jones, Ross T. Whitaker, Erik M. Jorgensen, Robert Marc, Tolga Tasdizen
Detection of neuron membranes in electron microscopy images using a serial neural network architecture. Medical Image Anal. 14 (6) (2010)
António R. C. Paiva, Tolga Tasdizen
Fast semi-supervised image segmentation by novelty selection. ICASSP (2010)
Kannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. ISBI (2009)
Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces. Neural Comput. 21 (10) (2009)
António R. C. Paiva, Il Park, José C. Príncipe
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing. Neural Comput. 21 (2) (2009)
António R. C. Paiva, Il Park, José C. Príncipe
Reproducing kernel Hilbert spaces for spike train analysis. ICASSP (2008)
Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. IEEE Trans. Signal Process. 56 (12) (2008)
Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI. IJCNN (2007)
Sudhir Rao, António R. C. Paiva, José C. Príncipe
A Novel Weighted LBG Algorithm for Neural Spike Compression. IJCNN (2007)
Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. IJCNN (2007)
António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe
Spectral Clustering of Synchronous Spike Trains. IJCNN (2007)
Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe
Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks 20 (2) (2007)
Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces. IJCNN (2007)
António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
Gravity Transform for Input Conditioning in Brain Machine Interfaces. EMBC (2006)
Yiwen Wang, António R. C. Paiva, José C. Príncipe
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering. IJCNN (2006)
Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe
Nonlinear Component Analysis Based on Correntropy. IJCNN (2006)
António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe
Kernel Principal Components Are Maximum Entropy Projections. ICA (2006)
Armando J. Pinho, António R. C. Paiva, António J. R. Neves
On the use of standards for microarray lossless image compression. IEEE Trans. Biomed. Eng. 53 (3) (2006)
António R. C. Paiva, Armando J. Pinho
Evaluation of Some Reordering Techniques for Image VQ Index Compression. ICIAR (1) (2004)