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From quasientropy
"... The subject is the overview of the use of quasientropy in finite dimensional spaces. Operator monotone functions and relative modular operators are used. The origin is the relative entropy, and the fdivergence, monotone metrics, covariance and the χ2divergence are the most important particular ca ..."
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The subject is the overview of the use of quasientropy in finite dimensional spaces. Operator monotone functions and relative modular operators are used. The origin is the relative entropy, and the fdivergence, monotone metrics, covariance and the χ2divergence are the most important particular
From quasientropy to skew information
, 2009
"... This paper gives an overview about particular quasientropies, generalized quantum covariances, quantum Fisher informations, skewinformations and their relations. The point is the dependence on operator monotone functions. It is proven that a skewinformation is the Hessian of a quasientropy. The ..."
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Cited by 6 (4 self)
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This paper gives an overview about particular quasientropies, generalized quantum covariances, quantum Fisher informations, skewinformations and their relations. The point is the dependence on operator monotone functions. It is proven that a skewinformation is the Hessian of a quasientropy
From quasientropy to various quantum information quantities
 PUBL. RIMS KYOTO UNIV. 48(2012), 525–542.
, 2012
"... The subject is the applications of the use of quasientropy in finite dimensional spaces to many important quantities in quantum information. Operator monotone functions and relative modular operators are used. The origin is the relative entropy, and the fdivergence, monotone metrics, covariance an ..."
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Cited by 4 (2 self)
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The subject is the applications of the use of quasientropy in finite dimensional spaces to many important quantities in quantum information. Operator monotone functions and relative modular operators are used. The origin is the relative entropy, and the fdivergence, monotone metrics, covariance
From fdivergence to quantum quasientropies and their use
"... Csiszar's fdivergence of two probability distributions was extended to the quantum case by the author in 1985. In the quantum setting positive semidefinite matrices are in the place of probability distributions and the quantum generalization is called quasientropy which is related to some oth ..."
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Cited by 5 (3 self)
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Csiszar's fdivergence of two probability distributions was extended to the quantum case by the author in 1985. In the quantum setting positive semidefinite matrices are in the place of probability distributions and the quantum generalization is called quasientropy which is related to some
Prospect theory: An analysis of decisions under risk
 Econometrica
, 1979
"... Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at ..."
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Cited by 5935 (24 self)
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Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at
Quasientropies for states of a von Neumann algebra
 Publ. RIMS Kyoto Univ
"... In a general von Neumann algebra context the relative entropy of two states was defined and investigated by Araki ([3], see also [5]). When <p and w are normal states on a von Neuman algebra M the relative entropy S(<p,<u) is defined by means of the relative ..."
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Cited by 25 (14 self)
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In a general von Neumann algebra context the relative entropy of two states was defined and investigated by Araki ([3], see also [5]). When <p and w are normal states on a von Neuman algebra M the relative entropy S(<p,<u) is defined by means of the relative
Planning Algorithms
, 2004
"... This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning ..."
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Cited by 1108 (51 self)
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, planning under uncertainty, sensorbased planning, visibility, decisiontheoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning.
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
 IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1996
"... We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum and c ..."
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Cited by 778 (21 self)
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and combines aspects of snakes/balloons and region growing. Indeed the classic snakes/balloons and region growing algorithms can be directly derived from our approach. We provide theoretical analysis of region competition including accuracy of boundary location, criteria for initial conditions
Contentbased image retrieval at the end of the early years
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2000
"... The paper presents a review of 200 references in contentbased image retrieval. The paper starts with discussing the working conditions of contentbased retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
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Cited by 1594 (24 self)
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The paper presents a review of 200 references in contentbased image retrieval. The paper starts with discussing the working conditions of contentbased retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps
Results 1  10
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