 | 2008 |
|---|
| 10 |       | Alexandre L. M. Levada,
Nelson D. A. Mascarenhas,
Alberto Tannús:
Improving Potts MRF Model Parameter Estimation in Image Analysis.
CSE 2008: 211-218 |
| 9 | | Marcos A. M. Laia,
Alexandre L. M. Levada,
Leonardo C. Botega,
Maurício Fernando Lima Pereira,
Paulo Estevão Cruvinel,
Álvaro Macedo:
A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography.
CSE 2008: 219-226 |
| 8 | | Débora C. Corrêa,
Alexandre L. M. Levada,
José Hiroki Saito:
Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network.
CSE 2008: 293-300 |
| 7 | | Débora C. Corrêa,
Alexandre L. M. Levada,
José Hiroki Saito:
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization.
ICANN (1) 2008: 109-118 |
| 6 | | Alexandre L. M. Levada,
Nelson D. A. Mascarenhas,
Alberto Tannús:
A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis.
ICIP 2008: 1828-1831 |
| 5 | | Alexandre L. M. Levada,
Nelson D. A. Mascarenhas,
Alberto Tannús:
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling.
ICPR 2008: 1-4 |
| 4 | | João F. Mari,
José Hiroki Saito,
Gustavo Poli,
Marcelo R. Zorzan,
Alexandre L. M. Levada:
Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations.
SAC 2008: 1236-1240 |
| 3 | | Alexandre L. M. Levada,
Nelson D. A. Mascarenhas,
Alberto Tannús,
Denis H. P. Salvadeo:
Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood.
SAC 2008: 1733-1737 |
| 2 | | Débora C. Corrêa,
Alexandre L. M. Levada,
José Hiroki Saito,
João F. Mari:
Neural network based systems for computer-aided musical composition: supervised x unsupervised learning.
SAC 2008: 1738-1742 |
| 2007 |
|---|
| 1 | | Gustavo Poli,
João F. Mari,
José Hiroki Saito,
Alexandre L. M. Levada:
Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA).
SBAC-PAD 2007: 19-25 |
