2 research outputs found
Information Fusion on Belief Networks
This paper will focus on the process of 'fusing' several observations or
models of uncertainty into a single resultant model. Many existing approaches
to fusion use subjective quantities such as 'strengths of belief' and process
these quantities with heuristic algorithms. This paper argues in favor of
quantities that can be objectively measured, as opposed to the subjective
'strength of belief' values. This paper will focus on probability
distributions, and more importantly, structures that denote sets of probability
distributions known as 'credal sets'. The novel aspect of this paper will be a
taxonomy of models of fusion that use specific types of credal sets, namely
probability interval distributions and Dempster-Shafer models. An objective
requirement for information fusion algorithms is provided, and is satisfied by
all models of fusion presented in this paper. Dempster's rule of combination is
shown to not satisfy this requirement. This paper will also assess the
computational challenges involved for the proposed fusion approaches.Comment: 25 pages, pages of Appendix, 3 figure
Emerging Biometrics: Deep Inference and Other Computational Intelligence
This paper aims at identifying emerging computational intelligence trends for
the design and modeling of complex biometric-enabled infrastructure and
systems. Biometric-enabled systems are evolving towards deep learning and deep
inference using the principles of adaptive computing, - the front tides of the
modern computational intelligence domain. Therefore, we focus on intelligent
inference engines widely deployed in biometrics. Computational intelligence
applications that cover a wide spectrum of biometric tasks using physiological
and behavioral traits are chosen for illustration. We highlight the technology
gaps that must be addressed in future generations of biometric systems. The
reported approaches and results primarily address the researchers who work
towards developing the next generation of intelligent biometric-enabled
systems.Comment: Survey pape