Jia Cui, Yonggang Deng, et al.
ASRU 2009
We provide a probabilistic framework, based on Perceptual Inference Networks, for the management of computational resources such as special purpose modules, feature detectors, and highly domain dependent algorithms. Since these resources tend to be computationally expensive and have limited applicability, judicious management is warranted. The resources are used to build a comprehensive description of the scene. Resources are selected in an information theoretic framework with the maximization of information gain per unit of computation as the optimality criterion. The viability of the algorithm is demonstrated in perceptual organization tasks. © 1995 Academic Press. All rights reserved.
Jia Cui, Yonggang Deng, et al.
ASRU 2009
Apostol Natsev, Wei Jiang, et al.
TRECVID 2008
Harman Singh, Poorva Garg, et al.
NeurIPS 2022
George Saon
SLT 2014