As major modifications for the task of nonlinear AEC, an evolutionary selection process facilitates to evaluate realizations of the state vector based on recursively calculated particle weights to generalize the instantaneous solution of the optimization problem [9].
After each modification of the tasks implementations we need to know the new total execution time.
The feature sets that are examined in this study are based on orthographic, morphological and shallow syntactical features, which were selected mainly from our previous work proposed for the biomedical NER task [16] with a particular modification for the CHEMDNER task.
In particular, we propose a modification of a framework originally designed for the task of action recognition and apply it to gait recognition.
The full patient record, containing a slight modification for the contrast examined in a specific task, will be transferred from the paper into the electronic patient record system.
The camera is perfect for the task.
Masters is uniquely qualified for the task.
There were two modalities for the task.
