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Combination of evidence in DempsterShafer theory
, 2002
"... DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require a ..."
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Cited by 79 (2 self)
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DempsterShafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require
Affective Video Retrieval Based on Dempster−Shafer Theory
"... Affective video retrieval systems are designed to efficiently find videos matching the desires and needs of Web users. These systems usually use fusion strategies to combine information from different modalities aiming at understanding others’ affective states. However, common fusion strategies used ..."
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used for affective video retrieval, neither were designed for this task, nor have any theoretical foundation. In order to address this problem, a novel fusion method based on the Dempster–Shafer theory of evidence is suggested. This method is utilized to combine audio and visual information contained
Face Recognition in Video using DempsterShafer Theory
 ICASSP 2004
"... We propose a new approach based on the DempsterShafer theory to increase identification performance of character faces in real films. We use a framebased approach where faces are detected and identified independently in each frame without taking into account any temporal information. Statistical e ..."
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Cited by 2 (2 self)
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We propose a new approach based on the DempsterShafer theory to increase identification performance of character faces in real films. We use a framebased approach where faces are detected and identified independently in each frame without taking into account any temporal information. Statistical
A defect in DempsterShafer theory
 InProceedings of the Tenth Conference on Uncertainty in Arti cial Intelligence
, 1994
"... By analyzing the relationships among chance, weight of evidence and degree ofbelief, it is shown that the assertion \chances are special cases of belief functions " and the assertion \Dempster's rule can be used to combine belief functions based on distinct bodies of evidence " togeth ..."
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Cited by 28 (20 self)
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; together lead to an inconsistency in DempsterShafer theory. To solve this problem, some fundamental postulates of the theory must be rejected. A new approach for uncertainty management is introduced, which shares many intuitive ideas with DS theory, while avoiding this problem. 1
Algorithms for dempstershafer theory
 Algorithms for Uncertainty and Defeasible Reasoning
, 2000
"... The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90] ..."
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Cited by 20 (3 self)
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The method of reasoning with uncertain information known as DempsterShafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76], and further publications e.g., [Shafer, 81; 90
The DempsterShafer calculus for statisticians
 International Journal of Approximate Reasoning
, 2007
"... The DempsterShafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) where p is the probability “for ” the assertion, q is the probability “against” the assertion, and r is the probability of “ ..."
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Cited by 46 (1 self)
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The DempsterShafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) where p is the probability “for ” the assertion, q is the probability “against” the assertion, and r is the probability
Qualitative DempsterShafer Theory
, 1993
"... This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data and t ..."
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Cited by 6 (3 self)
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This paper introduces the idea of using the DempsterShafer theory of evidence with qualitative values. DempsterShafer theory is a formalism for reasoning under uncertainty which may be viewed as a generalisation of probability theory with special advantages in its treatment of ambiguous data
Sensor Data Fusion for ContextAware Computing Using DempsterShafer Theory
, 2003
"... Towards having computers understand human users context information, this dissertation proposes a systematic contextsensing implementation methodology that can easily combine sensor outputs with subjective judgments. The feasibility of this idea is demonstrated via a meetingparticipants focusofa ..."
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Cited by 17 (0 self)
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ofattention analysis case study with several simulated sensors using prerecorded experimental data and artificially generated sensor outputs distributed over a LAN network. The methodology advocates a topdown approach: (1) For a given application, a context information structure is defined
Using DempsterShafer Theory in XML Information Retrieval
"... Abstract—XML is a markup language which is becoming the standard format for information representation and data exchange. A major purpose of XML is the explicit representation of the logical structure of a document. Much research has been performed to exploit logical structure of documents in inform ..."
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model for information retrieval systems that utilize plausible inferences to infer the relevance of elements in XML documents. We also add to this model the DempsterShafer theory of evidence to express the uncertainty in plausible inferences and DempsterShafer rule of combination to combine evidences
Using DempsterShafer Theory in XML Information Retrieval
 TRANSACTIONS ON ENGINEERING, COMPUTING AND TECHNOLOGY
, 2006
"... Abstract—XML is a markup language which is becoming the standard format for information representation and data exchange. A major purpose of XML is the explicit representation of the logical structure of a document. Much research has been performed to exploit logical structure of documents in inform ..."
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model for information retrieval systems that utilize plausible inferences to infer the relevance of elements in XML documents. We also add to this model the DempsterShafer theory of evidence to express the uncertainty in plausible inferences and DempsterShafer rule of combination to combine evidences
Results 1  10
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311,549