NLCMAP: A FRAMEWORK FOR THE EFFICIENT MAPPING OF NON-LINEAR CONVOLUTIONAL NEURAL NETWORKS ON FPGA ACCELERATORS

This paper introduces NLCMap, a framework for the mapping space exploration targeting Non-Linear Convolutional Networks (NLCNs). NLCNs [1] are a novel neural network model that improves performances in certain computer vision applications by introducing a non-linearity in the weights computation. NLCNs are more challenging to efficiently map onto hardware accelerators if compared to traditional Convolutional Neural Networks (CNNs), due to data dependencies and additional computations. To this aim, we propose NLCMap, a framework that, given an NLC layer and a generic hardware accelerator with a certain on-chip memory budget, finds the optimal mapping that minimizes the accesses to the off-chip memory, which are often the critical aspect in CNNs acceleration

New morphological approach to edge detection and image restoration

In this paper a new morphological method is proposed for performing edge detection and image filtering at the same time. These operations are useful for high level image processing systems performing tasks such as pattern recognition or region segmentation. in literature two main classes of methodologies are proposed: Bayesian methods, that allow one to obtain good results with. the drawback of an expensive computational load, and Morphological Methods, that involve a better computational load and less accurate results. The proposed method is based on both mathematical morphological techniques and Markov Random Field based techniques. In this paper, experimental results are shown and it is possible to conclude that the method is suitable for processing images corrupted by structured impulsive noise (speckle noise) such as Synthetic Aperture Radar images

Considerazioni stratigrafiche in un'area palustre bonificata: la "valle del Mezzano" in provincia di Ferrara

SIGLEITItal

Atlante numerico geografico della tendenza evolutiva dei litorali delle province di Taranto, Lecce e Brindisi in relazione all'erosione marina

Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 , Rome / CNR - Consiglio Nazionale delle RichercheSIGLEITItal