While successful identification of individual exemplars depends on holistic image-based representations, classification of objects can be accomplished by a comparison of image parts or features (see [41] for a review of computational approaches).
The framework and classification allowed the holistic nature of acute stroke multidisciplinary team work to be communicated within and beyond the team.
Methods to screen and prioritize chemicals for more comprehensive evaluations include "separate" persistence, bioaccumulation, and toxicity (PBT) classification categories and "holistic" multimedia, multipathway mass balance exposure and risk assessment models that simulate key processes in the source receptor relationship.
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models, Congcong Li, Adarsh Kowdle, Ashutosh Saxena, Tsuhan Chen.
An image is considered as a distribution of visual words and this holistic representation is used to perform classification.
This meta-analysis not only involves a review of the results, but also their broad classification to develop a more holistic picture of the field, its findings and any gaps.
This holistic approach guided the development of the International Classification of Functioning, Disability and Health (ICF), which was approved by the World Health Assembly in May 2001.
One of them is PCA-based holistic representations and feed forward neural networks (NN) for classification proposed by Cottrell and Metcalfe[7].
Classification and interpretation of an ACR may require a holistic view that integrates all exercise training outcomes.
This is noted in the table as a reminder that the classifications are somewhat artificial and that acknowledgement of a more holistic consideration is important.
Previous studies emphasize the fact that global representation of scenes based on extracted holistic cues can effectively help to solve the problem of rapid and automatic scene classification [9].
