Zhixian Yan, Dipanjan Chakraborty, et al.
EDBT 2011
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.
Zhixian Yan, Dipanjan Chakraborty, et al.
EDBT 2011
Vijay Arya, Diptikalyan Saha, et al.
CODS-COMAD 2023
Arnon Amir, M. Lindenbaum
Computer Vision and Image Understanding
Kai Shen, Lingfei Wu, et al.
IJCAI 2020