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Segmentación de tejidos con contornos difusos en imágenes radiológicas [PhD Thesis]
(2017-06-26)
En la presente tesis se han desarrollado dos algoritmos innovadores para la segmentación de tumores retroperitoneales en imágenes radiológicas en 3D, ambos basados en la metodología de relajación convexa. Un algoritmo hace ...
Fast vision through frameless event-based sensing and convolutional processing: Application to texture recognition [Article]
(Institute of Electrical and Electronics Engineers, 2010)
Address-event representation (AER) is an emergent hardware technology which shows a high potential for providing in the near future a solid technological substrate for emulating brain-like processing structures. When used ...
Efficient feedforward categorization of objects and human postures with address-event image sensors [Article]
(Institute of Electrical and Electronics Engineers, 2012)
This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event temporal-difference image sensors. The system employs an innovative ...
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex [Article]
(Frontiers Media, 2011)
In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of memristor nanotechnology ...
Sistema de reconocimiento de caracteres de alta velocidad basado en eventos [Presentation]
(Unión Científica Internacional de Radio, 2011)
Spike-based processing technology is capable of very high speed throughput, as it does not rely on sensing and processing sequences of frames. Besides, it allows building complex and hierarchically structured cortical-like ...
Red neuronal convolucional rápida sin fotogramas para reconocimientos de dígitos [Presentation]
(Unión Científica Internacional de Radio, 2011)
In this paper a bio-inspired six-layer convolutional network (ConvNet) non-frame based for digit recognition is shown. The system has been trained with the backpropagation algorithm using 32x32 images from the MNIST ...
Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention [Article]
(Springer Verlag, 2014)
Neuromorphic hardware and cognitive robots seem like an obvious fit, yet progress to date has been frustrated by a lack of tangible progress in achieving useful real-world behaviour. System limitations: the simple and ...
A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection [Article]
(Springer Verlag, 2012)
Computation with spiking neurons takes advantage of the abstraction of action potentials into streams of stereotypical events, which encode information through their timing. This approach both reduces power consumption ...
Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate-Coding and Coincidence Processing. Application to Feed-Forward ConvNets [Article]
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Event-driven visual sensors have attracted interest from a number of different research communities. They provide visual information in quite a different way from conventional video systems consisting of sequences of ...
Clasificación de lesiones de piel basada en filtros de Gabor y color [Presentation]
(Sociedad española de ingeniería biomédica, 2009)
Cuando se pretende diagnosticar un posible cáncer de piel, los médicos evalúan la lesión siguiendo diferentes reglas. Aunque la más famosa es la regla ABCD (Asimetría, Borde, Color, Diámetro), una técnica muy empleada ...