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https://link.springer.com/article/10.1023%2FA%3A1008218126123
Traditional probabilistic relaxation, as proposed by Rosenfeld, Hummel and Zucker, uses a support function which is a double sum over neighboring nodes and labels. Recently, Pelillo has shown the relevance of the Baum-Eagon theorem to the traditional formulation.Cited by: 17
https://www.researchgate.net/publication/221633096_Theoretical_Foundations_of_CP-Based_Lagrangian_Relaxation
[Show full abstract] probabilistic relaxation with product support, based on an evidence combining formula. In this paper we present a formal basis for Kittler and Hancocks probabilistic relaxation.
http://www.bmva.org/bmvc/1995/bmvc-95-060.pdf
bilistic relaxation with product support, and also leads us to propose a new class of probabilistic relaxation algorithms. We investigate two applications. 1 Introduction Probabilistic relaxation [PR] is an established technique for pattern recognition. For a review of PR and applications of PR see [1]. The 'traditional' scheme for PR, which we
http://www.cs.bilkent.edu.tr/~saksoy/courses/cs551-Spring2009/papers/christmas95_structural.pdf
However, his solution retained the heuristic framework of probabilistic relaxation as introduced by Rosenfeld, Hummel, and Zucker [36] and Hummel and Zucker [25]. In particular, the compatibility and support func- tions were specified heuristically.
https://www.researchgate.net/publication/262020305_Modelling_contextual_constraints_in_probabilistic_relaxation_for_multi-class_semi-supervised_learning
Kittler and Hancock have suggested a form of probabilistic relaxation with product support, based on an evidence combining formula. In this paper we present a formal basis for Kittler and Hancocks ...
https://link.springer.com/article/10.1023/A:1008255111261
Abstract. We present some new results which definitively explain thebehavior of the classical, heuristic nonlinear relaxation labelingalgorithm of Rosenfeld, Hummel, and Zucker in terms of theHummel-Zucker consistency theory and dynamical systems theory.Cited by: 130
https://www.sciencedirect.com/science/article/pii/S0031320399000813
Probabilistic relaxation refers to a family of techniques designed to achieve a global consistency when interpreting a network of interacting objects. Its origins go back to the seminal paper of Rosenfeld et al. [1] which in turn was inspired by the work of Waltz [2] concerned with discrete relaxation.Cited by: 8
https://www.sra.org/sites/default/files/pdf/FoundationsMay7-2015-sent-x.pdf
2" ". Preface. The idea of this paper is to prepare a document which reflects on key scientific pillars of risk analysis, the core of our scientific, regulatory and technical field, the elements that unify our professional discipline, with both current and future perspectives.
https://doi.acm.org/10.1145/2396761.2396873
An integration system is useful only to the extent that the information it produces can be trusted. Hence, providing a measure of certainty for integrated information is of crucial importance in many important applications. In this paper we study the problem of integration of uncertain information.Cited by: 9
http://www-personal.umich.edu/~hassanam/my_publications/Master_Thesis.pdf
ables. This work proposes a new probabilistic method for learning Bayesian network structures from data. In the proposed method the existence of an edge in the network is no longer considered as a hard or deterministic issue, but rather we assign a certain probability for the existence of …
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