163 citations · 1.5k across the 72 of their papers we have counts for
16 papers · 1 filter
2-D Rayleigh Autoregressive Moving Average Model for SAR Image Modeling
B. G. Palm, F. M. Bayer, R. J. Cintra
Two-dimensional (2-D) autoregressive moving average (ARMA) models are commonly applied to describe real-world image data, usually assuming Gaussian or symmetric noise. However, rea…
Improved Point Estimation for the Rayleigh Regression Model
B. G. Palm, F. M. Bayer, R. J. Cintra
The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on t…
Signal Detection and Inference Based on the Beta Binomial Autoregressive Moving Average Model
B. G. Palm, F. M. Bayer, R. J. Cintra
This paper proposes the beta binomial autoregressive moving average model (BBARMA) for modeling quantized amplitude data and bounded count data. The BBARMA model estimates the cond…
Low-complexity Approximate Convolutional Neural Networks
R. J. Cintra, S. Duffner, C. Garcia +1
In this paper, we present an approach for minimizing the computational complexity of trained Convolutional Neural Networks (ConvNet). The idea is to approximate all elements of a g…
Low-Complexity Loeffler DCT Approximations for Image and Video Coding
D. F. G. Coelho, R. J. Cintra, F. M. Bayer +6
This paper introduced a matrix parametrization method based on the Loeffler discrete cosine transform (DCT) algorithm. As a result, a new class of eight-point DCT approximations wa…
DCT Approximations Based on Chen's Factorization
C. J. Tablada, T. L. T. da Silveira, R. J. Cintra +1
In this paper, two 8-point multiplication-free DCT approximations based on the Chen's factorization are proposed and their fast algorithms are also derived. Both transformations ar…