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In this work, a novel color quantization approach based on the Growing Neural Forest (GNF) is proposed. The GNF is a recently proposed improvement of the Growing Neural Gas (GNG), where a set of trees is learned instead of a general graph. Thus, this model is suitable for color quantization purposes. Experimental results confirm the good performance of the GNF for color quantization tasks.
Thermal comfort conditions are important for the normal development of human tasks, and as such they have been analyzed in the context of several areas including human physiology, ergonomics, heating and cooling systems, architectural design, etc. In this work, we analyze the estimation of the thermal comfort perception by human subjects using a neurocomputational model based on the C-Mantec constructive...
Emotional processing of ex-combatants is affected by chronic exposure to violent events. For a successful reintegration into society, it is necessary to discriminate their brain responses from civilian people, as a first stage to develop treatment strategies. This paper presents a comparative analysis between a Multilayer Perceptron Neural Network and a Fuzzy C-Means classifier to differentiate ex-combatant...
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