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Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations
(2012-12-01)
The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as ...
Plasma structure extraction from lasco images by the dual-tree complex wavelet transform
(2015-01-01)
Images of the Sun obtained in distinct electromagnetic ranges can be very useful to investigate electrodynamical processes that occur in this star. This work analyzes the application of a two-dimensional version of the ...
Improved multiclass feature selection via list combination
(Pergamon-Elsevier Science Ltd, 2017-12)
Feature selection is a crucial machine learning technique aimed at reducing the dimensionality of the input space. By discarding useless or redundant variables, not only it improves model performance but also facilitates ...
Taenia crassiceps injection into the subarachnoid space of rats simulates radiological and morphological features of racemose neurocysticercosis
(2017-01-01)
Purpose: Neurocysticercosis is a major public health concern. Although its eradication appears feasible, the disease remains endemic in developing countries and has emerged again in Europe and in the USA. Basic studies on ...
WS-contract establishment with QoS: An approach based on feature modeling
(World Scientific Publ Co Pte LtdSingaporeSingapura, 2008)
Building perfectly curious machines: using structural causal modeling to define the ideal feature space at the learning baseline of curiosity-driven agents
(Universidad de los AndesMaestría en Ingeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computación, 2020)
The thesis develops an ideal inverse-dynamics learning algorithm which can learn the properties of the sensors and actuators under its control. The algorithm converges on an ideal feature space, where the implementation ...
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
(Elsevier BVAmsterdam, 2014-01)
Texture analysis and classification remain as one of the biggest challenges for the field of computer vision and pattern recognition. On this matter, Gabor wavelets has proven to be a useful technique to characterize ...
An empirical comparison of feature selection methods in problem transformation multi-label classification
(Institute of Electrical and Electronics Engineers, 2016-08)
Multi-label classification (MLC) is a supervised learning problem in which a particular example can be associated with a set of labels instead of a single one as in traditional classification. Many real-world applications, ...
Deliberative space controls non - deliberative space on the spatial representations of events and time
(Udelar.FP, 2017)
On everyday cognition there is a set of modal imaginistic representations that we attend to. Current findings show that the intrinsic and extrinsic features of certain events are routinely captured by these kinds of ...