Avelino Forechi

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Virtual Generalizing Random Access Memory Weightless Neural Networks (VG-RAM WNN) is an effective machine learning technique that offers simple implementation and fast training and test. In this paper, we present a new approach for traffic sign recognition based on VG-RAM WNN. We evaluate its performance using the German Traffic Sign Recognition Benchmark(More)
Mapping and localization are fundamental problems in autonomous robotics. Autonomous robots need to know where they are in their area of operation to navigate through it and to perform activities of interest. In this paper, we propose an Image-Based Global Localization (VibGL) system that uses Virtual Generalizing Random Access Memory Weightless Neural(More)
The Virtual Generalizing Random Access Memory Weightless Neural Network (VG-RAM WNN) is an effective machine learning technique that offers simple implementation and fast training. One disadvantage of VG-RAM WNN, however, is the test time for applications with many training samples, i.e. large multi-class classification applications. In such cases, the test(More)
We present a biologically inspired approach to traffic sign detection based on Virtual Generalizing Random Access Memory Weightless Neural Networks (VG-RAM WNN). VG-RAM WNN are effective machine learning tools that offer simple implementation and fast training and test. Our VG-RAM WNN architecture models the saccadic eye movement system and the(More)
The Virtual Generalizing Random Access Memory Weightless Neural Network (VGRAM WNN) is a type of WNN that only requires storage capacity proportional to the training set. As such, it is an effective machine learning technique that offers simple implementation and fast training – it can be made in one shot. However, the VG-RAM WNN test time for applications(More)
The human Episodic Memory system stores sequences of events (episodes encoded in time and in space) experienced or imagined by an individual for later access to the episodes in whole or in part. Such ability provided by our Episodic Memory system is important, among other functions, for our localization in space throughout time. Inspired by that, in this(More)
We propose a Virtual Generalizing Random Access Memory (VG-RAM) Weightless Neural Network (WNN) Computer (V'Ger Computer for short). VG-RAM WNNs are very effective pattern recognition tools, offering fast training (one shot training) and competitive recognition performance, if compared with other current techniques. The V'Ger Computer architecture was(More)
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