Results 1 to 10 of about 4,354,487 (343)
Discrete Graphical Models — An Optimization Perspective [PDF]
Foundations and Trends® in Computer Graphics and Vision, 2019 This monograph is about discrete energy minimization for discrete graphical models. It considers graphical models, or, more precisely, maximum a posteriori inference for graphical models, purely as a combinatorial optimization problem.
Bogdan Savchynskyy
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GDSP: A Graphical Perspective on the Distributed Storage Systems [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 The classical distributed storage problem can be modeled by a k-uniform {\it complete} hyper-graph where vertices represent servers and hyper-edges represent users.
Saeid Sahraei, Michael Gastpar
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Building Thinking about Graphical Antiderivatives: The Role of Interval Perspectives
Annales de Didactique et de Sciences CognitivesThe concept of function traverses the mathematics studied at school and university and is an important transitional link between the two. We examine how an interval perspective on function may help with constructing graphical antiderivative functions. In
Mike Thomas +2 more
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Revisiting the Phillips Curve: Visualization from a Multidimensional Graphical Perspective [PDF]
, 2017 This article explores the possibility of visualizing the Phillips curve from a multidimensional perspective. We use a new multidimensional coordinate space, the mega-dynamic disks multivariable random coordinate space in vertical position, which ...
Mario Arturo Ruiz Estrada +2 more
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Big Data and Cognitive ComputingBuilding information modeling (BIM) is undeniably the most important trend in the digitization of the construction sector in recent years. BIM models currently being built are extremely geometrically rich, that is, they are modeled at a high level of ...
Andrzej Szymon Borkowski, Marta Maroń
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A strategic and operational view of competitiveness and cohesion in the European context [PDF]
Eastern Journal of European Studies, 2010 The persistence of spatial developmental disparities suggests that the strategic directions of any initiative targeting regional competitiveness should follow the lines of (1) maximizing its competitive impact and (2) matching the territorial specificity.
Valentin COJANU
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Sparse Graphical Linear Dynamical Systems [PDF]
Journal of machine learning research, 2023 Time-series datasets are central in machine learning with applications in numerous fields of science and engineering, such as biomedicine, Earth observation, and network analysis. Extensive research exists on state-space models (SSMs), which are powerful
É. Chouzenoux, V. Elvira
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Social Interactions for Autonomous Driving: A Review and Perspective [PDF]
Found. Trends Robotics, 2022 No human drives a car in a vacuum; she/he must negotiate with other road users to achieve their goals in social traffic scenes. A rational human driver can interact with other road users in a socially-compatible way through implicit communications to ...
Wenshuo Wang +4 more
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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness [PDF]
AAAI Conference on Artificial Intelligence, 2022 In addition to reproducing discriminatory relationships in the training data, machine learning (ML) systems can also introduce or amplify discriminatory effects. We refer to this as introduced unfairness, and investigate the conditions under which it may
Carolyn Ashurst +3 more
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Graphical Inference in Linear-Gaussian State-Space Models [PDF]
IEEE Transactions on Signal Processing, 2022 State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, biomedicine, and finance to name a few.
V. Elvira, É. Chouzenoux
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