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Spatio-Temporal Graphical-Model-Based Multiple Facial Feature Tracking [PDF]
It is challenging to track multiple facial features simultaneously when rich expressions are presented on a face. We propose a two-step solution. In the first step, several independent condensation-style particle filters are utilized to track each ...
Su Congyong, Huang Li
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Equivalence model: A new graphical model for causal inference [PDF]
Although several causal models relevant to epidemiology have been proposed, a key question that has remained unanswered is why some people at high-risk for a particular disease do not develop the disease while some people at low-risk do develop it.
Jalal Poorolajal
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Graphical Notation for Document Database Modeling
Goals and objectives. Graphical models have proven to be a reliable, clear and convenient tool for creating sketch models of databases. Most of the existing notations are designed for the relational data model, the dominant data model for the last thirty
M. V. Smirnov, R. S. Tolmasov
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Modeling Categorical Variables by Mutual Information Decomposition
This paper proposed the use of mutual information (MI) decomposition as a novel approach to identifying indispensable variables and their interactions for contingency table analysis.
Jiun-Wei Liou +2 more
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Conditional Random Field-Guided Multi-Focus Image Fusion
Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important.
Odysseas Bouzos +2 more
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Prediction and Prevention of Pandemics via Graphical Model Inference and ConvexProgramming [PDF]
Krechetov M +4 more
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South Asian monsoon is a phenomena that plays out during June-September every year, due to the northward shift of the ITCZ which causes heavy rainfall over many countries of South Asia, including India.
Adway Mitra
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Undirected Structural Markov Property for Bayesian Model Determination
This paper generalizes the structural Markov properties for undirected decomposable graphs to arbitrary ones. This helps us to exploit the conditional independence properties of joint prior laws to analyze and compare multiple graphical structures, while
Xiong Kang, Yingying Hu, Yi Sun
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Functional Graphical Models [PDF]
Graphical models have attracted increasing attention in recent years, especially in settings involving high-dimensional data. In particular, Gaussian graphical models are used to model the conditional dependence structure among multiple Gaussian random variables.
Qiao, Xinghao +2 more
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Community Detection in Social Networks Considering Social Behaviors
The study of community detection in networks has drawn great attention in recent years. To find communities and to understand community semantics, both network topology and network content are utilized. Unfortunately, none of them can explain the driving
Yingkui Wang +4 more
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