Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Hyperspectral images have correlation at the level of pixels; moreover, images from neighboring frequency bands are also closely correlated. In this paper, we propose to use distr...
Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauli...
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Shrinking time-to-market and high demand for productivity has driven traditional hardware designers to use design methodologies that start from high-level languages. However, meet...
In this paper we present a new segmentation method for the Multidimensional Multiscale Parser (MMP) algorithm. In previous works we have shown that, for text and compound images, ...
Eduardo A. B. da Silva, Manuel J. C. S. Reis, Muri...