Results 11 to 20 of about 4,203,675 (344)

Discrete Graphical Models — An Optimization Perspective [PDF]

open access: greenFoundations 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. Modeling, applications, probabilistic interpretations and many other aspects are either ignored here or find their ...
Bogdan Savchynskyy
semanticscholar   +7 more sources

GDSP: A Graphical Perspective on the Distributed Storage Systems [PDF]

open access: green2017 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. Hence each hyper-edge should be able to recover the full file using only the memories of the vertices associated with it.
Saeid Sahraei, Michael Gastpar
core   +8 more sources

A Human-Cognitive Perspective of Users’ Password Choices in Recognition-Based Graphical Authentication [PDF]

open access: greenInternational journal of human computer interactions, 2019
Graphical password composition is an important part of graphical user authentication which affects the strength of the chosen password. Considering that graphical authentication is associated with visual search, perception, and information retrieval, in ...
Christina Katsini   +4 more
openalex   +2 more sources

Fractile Graphical Analysis in Finance: A New Perspective with Applications [PDF]

open access: goldJournal of Risk and Financial Management, 2022
Fractile Graphical Analysis (FGA) was proposed by Prasanta Chandra Mahalanobis in 1961 as a method for comparing two distributions at two different points (of time or space) controlling for the rank of a covariate through fractile groups. We use bootstrap techniques to formalize the heuristic method used by Mahalanobis for approximating the standard ...
Anil K. Bera, Aurobindo Ghosh
openalex   +4 more sources

Semantic Enrichment of Non-graphical Data of a BIM Model of a Public Building from the Perspective of the Facility Manager

open access: greenBig Data and Cognitive Computing
Building 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
doaj   +4 more sources

A strategic and operational view of competitiveness and cohesion in the European context [PDF]

open access: yesEastern 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
doaj   +2 more sources

Gaussian Graphical Models: An Algebraic and Geometric Perspective

open access: green, 2017
Gaussian graphical models are used throughout the natural sciences, social sciences, and economics to model the statistical relationships between variables of interest in the form of a graph. We here provide a pedagogic introduction to Gaussian graphical models and review recent results on maximum likelihood estimation for such models.
Caroline Uhler
openalex   +4 more sources

Revisiting the Phillips Curve: Visualization from a Multidimensional Graphical Perspective [PDF]

open access: diamond, 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
openalex   +3 more sources

Sparse Graphical Linear Dynamical Systems [PDF]

open access: yesJournal 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
semanticscholar   +1 more source

Social Interactions for Autonomous Driving: A Review and Perspective [PDF]

open access: yesFound. 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
semanticscholar   +1 more source

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