Adrião Duarte Dória Neto

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The vision has many sensors responsible for capturing information that is sent to the brain. The gaze reflects its attention, intention and interest of the brain towards the outside world. Therefore, the detection of the gaze direction is a promising alternative for the simulation programs, virtual reality applications and human-machine special(More)
The investigation of the parameters for which algorithms have their best performance is crucial when working with metaheuristics. This paper proposes the utilization of logistic regression, a statistical tool, for parameter tuning of an evolutionary algorithm called ProtoG. To illustrate the ideas proposed in this work, the algorithm is applied to the(More)
Reinforcement Learning has been an approach successfully applied for solving several problems available in literature. It is usually employed for solving complex problems, such as the ones involving systems with incomplete knowledge, time variant systems, non-linear systems, etc., but it does not mean that it cannot be applied for solving simple problems.(More)
Support vector machines are one of the most employed methods of pattern classification, and the Adaboost algorithm is an effective way of improving the performance of the weak learners that compose the ensemble. In this article, we propose to create an Adaboost-based ensemble of SVM, by altering the Gaussian width parameter of the RBF-SVM. Using data sets(More)
This paper presents an approach to the well-known Travelling Salesman Problem (TSP) using Self-Organizing Maps (SOM). The SOM algorithm has interesting topological information about its neurons configuration on cartesian space, which can be used to solve optimization problems. Aspects of initialization, parameters adaptation, and complexity analysis of the(More)
Techniques of optimization, known as metaheuristics, have achieved success in the resolution of many problems classified as NP-hard. These methods use non-deterministic approaches that find good solutions which, however, do not guarantee the determination of the global optimum. Beyond the inherent difficulties related to the complexity that characterizes(More)
In this paper we used WPT (wavelet packet transform) and neural classifier SVM (support vector machine) to recognize spoken digits from 0 to 9 in Brazilian Portuguese. The main objective this work is to find out the Wavelet mother that better represents the speech signal in Brazilian Portuguese. The results obtained were compared with MFCC (Mel frequency(More)