António R. C. Paiva

30 papers B 12Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2017 B conf
Information-theoretic dataset selection for fast kernel learning.
IJCNN
António R. C. Paiva
2013 J jnl
Kernel Methods on Spike Train Space for Neuroscience: A Tutorial.
IEEE Signal Process. Mag.
Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe
2013 J jnl
Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images.
Neuroinformatics
Elizabeth Jurrus, Shigeki Watanabe, Richard J. Giuly, António R. C. Paiva, Mark H. Ellisman, Erik M. Jorgensen, Tolga Tasdizen
2012 J jnl
Fingerprint Image Segmentation using Data Manifold Characteristic Features.
Int. J. Pattern Recognit. Artif. Intell.
António R. C. Paiva, Tolga Tasdizen
2011 B conf
Fast AdaBoost training using weighted novelty selection.
IJCNN
Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen
2011 — conf
Trace driven registration of neuron confocal microscopy stacks.
ISBI
Luke Hogrebe, António R. C. Paiva, Elizabeth Jurrus, Cameron Christensen, Michael Bridge, Julie R. Korenberg, Tolga Tasdizen
2010 — ch.
A Reproducing Kernel Hilbert Space Framework for ITL.
Information Theoretic Learning
Jian-Wu Xu, Robert Jenssen, António R. C. Paiva, Il Park
2010 J jnl
A comparison of binless spike train measures.
Neural Comput. Appl.
António R. C. Paiva, Il Park, José C. Príncipe
2010 B conf
Detection of Salient Image Points Using Principal Subspace Manifold Structure.
ICPR
António R. C. Paiva, Tolga Tasdizen
2010 J jnl
Detection of neuron membranes in electron microscopy images using a serial neural network architecture.
Medical Image Anal.
Elizabeth Jurrus, António R. C. Paiva, Shigeki Watanabe, James R. Anderson, Bryan W. Jones, Ross T. Whitaker, Erik M. Jorgensen, Robert Marc, Tolga Tasdizen
2010 Misc conf
Fast semi-supervised image segmentation by novelty selection.
ICASSP
António R. C. Paiva, Tolga Tasdizen
2010 B conf
Image Parsing with a Three-State Series Neural Network Classifier.
ICPR
Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen
2010 B conf
Using Sequential Context for Image Analysis.
ICPR
António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen
2009 J jnl
A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing.
Neural Comput.
António R. C. Paiva, Il Park, José C. Príncipe
2009 — conf
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps.
ISBI
Kannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen
2009 J jnl
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces.
Neural Comput.
Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2008 J jnl
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning.
IEEE Trans. Signal Process.
Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe
2008 Misc conf
Reproducing kernel Hilbert spaces for spike train analysis.
ICASSP
António R. C. Paiva, Il Park, José C. Príncipe
2007 B conf
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters.
IJCNN
Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris
2007 B conf
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.
IJCNN
Yiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2007 B conf
A Novel Weighted LBG Algorithm for Neural Spike Compression.
IJCNN
Sudhir Rao, António R. C. Paiva, José C. Príncipe
2007 B conf
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI.
IJCNN
Shalom Darmanjian, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2007 J jnl
Self-organizing maps with dynamic learning for signal reconstruction.
Neural Networks
Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe
2007 B conf
Spectral Clustering of Synchronous Spike Trains.
IJCNN
António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe
2006 B conf
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering.
IJCNN
Yiwen Wang, António R. C. Paiva, José C. Príncipe
2006 — conf
Gravity Transform for Input Conditioning in Brain Machine Interfaces.
EMBC
António R. C. Paiva, José C. Príncipe, Justin C. Sanchez
2006 — conf
Kernel Principal Components Are Maximum Entropy Projections.
ICA
António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe
2006 B conf
Nonlinear Component Analysis Based on Correntropy.
IJCNN
Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe
2006 J jnl
On the use of standards for microarray lossless image compression.
IEEE Trans. Biomed. Eng.
Armando J. Pinho, António R. C. Paiva, António J. R. Neves
2004 — conf
Evaluation of Some Reordering Techniques for Image VQ Index Compression.
ICIAR (1)
António R. C. Paiva, Armando J. Pinho