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Even when spatial cues to the location of food become unreliable, G. soricina has great difficulty in learning to associate shape cues with food [14], [15].
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For example, Siemers [25] reported evidence that the insectivorous bat Myotis nattereri (Chiroptera: Vespertilionidae) can easily learn to ignore location and associate shapes with food.
The performance is considerably better when the features are augmented with their associated shape context descriptors.
The shape formulation of the smooth folds and the kinematic constraints on their associated shape variables are presented.
The level of sophistication of associated shape language was assessed by tracking the presence of geometric adjectives and explicit definitions.
The presence or absence of such transition is very important, because the result may greatly affect the martensitic transformation behavior, and the associated shape memory characteristics.
One advantage of this method is that it is based on the global weak formulation, and also the associated shape functions possess the Kronecker delta function property.
Our approach uses user-definable predicates to allow programmers to describe a wide range of data structures with their associated shape, size and bag (multi-set) properties.
Thus, for better computational efficiency, we need to replace the spectral matching technique with the Hungarian method [15], a linear assignment matching approach, but augment the original spatial-temporal features with their associated shape context descriptors [16].
The associated shape function is evaluated by considering the equilibrium of the soil column under a pseudo-static lateral inertial excitation imposed at its base, accounting for both layering and inhomogeneity.
The research status of the Fe Mn Si based alloys is reviewed with emphasis on the recent progress in the martensitic transformation and the associated shape memory effect (SME).
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