Repeatedly applying tasks of increasing difficulty or complexity to define the optimal level of difficulty would provide knowledge about the range and limits of the cognitive abilities of pigs, knowledge that could be used to develop standardized tests of brain function in this species.
One such algorithm uses the maximum likelihood criterion adjusted using a penalization term for taking into account model complexity to define breakpoints [ 28].
Second, background segmentation difficulty, defined as the complexity to extract the background from the scene, as well as noise presence, lighting changes, shadows, and objects belonging to the background, was proposed.
First, people detection difficulty, defined as the complexity to detect people in several situations like people moving, people temporarily stationary, the number of persons, partial occlusions, and pose variations are considered.
The weaknesses of such an approach is in the startup effort and complexity necessary to define the resulting model, as it requires a bottom up analysis in order to represent the service delivery process and the evaluation from different stakeholders' points of view.
The current trend in structural intervention and external control is to develop new methods to reduce their computational complexity and to define the optimal control problems and find the corresponding optimal policies for specific therapies.
Complexity is the real word to define the future war environment, which will need information about multi dimensional needs.
This complexity necessitates complex methodology to define and study headache.
One option to deal with the phenotype complexity can be to define a minimum set of phenotype template fields [ 11].
The RACHS-1 score was used to define the complexity of the surgical procedure [ 16].
