Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
Predominant resources for execution of any application are computational power and memory. On one side, computational power has grown many folds faster than memory capacity. On th...
— Neuronal activities related to context-dependent recall have been found in the monkey inferotemporal cortex. If we set the same task for an artificial neural network, however,...
GOMS is a well-known model that has been successfully used in predicting the performance of humancomputer interaction, identifying usability problems and improving user-interface ...
Traffic models play an important role in network simulation and performance analysis. This paper presents a frame-level hybrid framework for modeling variable bitrate (VBR) video ...