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We present a cognitive modeling framework called Neural Modeling Fields (NMF) and its application to situation learning and categorization. We discuss how this framework is related to the perceptual symbol systems theory of cognition (PSS). Essentially, the mathematical apparatus of NMF is a way to learn the frames and simulators described qualitatively by PSS. For the purposes of this work, a situation...
Aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers, a new fusion method for multi-sensor data is proposed based on mean deviation. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the mean deviations...
The triangular fuzzy numbers are used to represent to the object recognition problem, a new fusion method for multi-sensor data is proposed from the decision making theory. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the standard deviations for all attributes, the weights of the attributes are obtained objectively...
Aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of interval numbers, a new fusion method for multi-sensor data is proposed from the viewpoint of decision making theory. The method defines the distance between the two interval numbers, obtains the distance matrix between all object types and unknown object. After...
This paper aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of interval numbers, a new fusion method for multi-sensor data is proposed from the viewpoint of decision making theory. The method defines the distance between the two interval numbers, obtains the distance matrix between all object types and unknown object...
Ear is a new class of relatively stable biometric that is invariant from childhood to early old age. In most cases techniques already working in other biometric fields, such as PCA are applied to ear. Eigen-ears provide high recognition rate only in closely controlled conditions. Indeed, even a slight amount of rotation can cause a significant drop in system performance and in unattended systems rotations...
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