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SI: disaster risk management

Marc Goerigk, Horst W. Hamacher
2016 EURO Journal on Computational Optimization  
This model is evaluated numerically against a linear network flow model for different objective functions that are relevant for evacuation problems.  ...  In the paper Evacuation Modeling: A Case Study on Linear and Nonlinear Network Flow Models, co-authored by Sebastian Kühn, Simone Göttlich, Jan Peter Ohst, and Stefan Ruzika, a nonlinear traffic flow network  ...  Additionally, a budget is available to improve the safety of some nodes. The question they consider is how to allocate the budget, such that the maximum flow in each scenario is as large as possible.  ... 
doi:10.1007/s13675-016-0073-z fatcat:edpban6axjg4bechl6xgoxewpy

The physics of custody

Andrés Gomberoff, Víctor Muñoz, Pierre Paul Romagnoli
2014 European Physical Journal B : Condensed Matter Physics  
The problem turns out to be equivalent to finding the ground state of a spin glass system, which is known to be equivalent to what is called a weighted max-cut problem in graph theory, and hence it is  ...  In such cases, and when kids spend every other weekend with each parent, a practical problem emerges: Is it possible to have such a custody arrangement that every couple has either all of the kids together  ...  VM thanks the financial support of Fondecyt under Grant No. 1121144.  ... 
doi:10.1140/epjb/e2014-40666-7 fatcat:slpn3bukvjakblah2rdsijxlza

Recent Advances in Fully Dynamic Graph Algorithms [article]

Kathrin Hanauer, Monika Henzinger, Christian Schulz
2021 arXiv   pre-print
In recent years, significant advances have been made in the design and analysis of fully dynamic algorithms.  ...  Here, we present a quick reference guide to recent engineering and theory results in the area of fully dynamic graph algorithms.  ...  We acknowledge the Austrian Science Fund (FWF) and netIDEE SCI-ENCE project P 33775-N. Moreover, we have been partially supported by DFG grant SCHU 2567/1-2.  ... 
arXiv:2102.11169v5 fatcat:tcs3lkgcg5f7jax672adyzrstm

Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks

Iman Abbasnejad, Sridha Sridharan, Dung Nguyen, Simon Denman, Clinton Fookes, Simon Lucey
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
One reason stems from the lack of large-scale facial expression datasets. In this work in order to tackle this limitation we synthetically generate a large scale expression dataset.  ...  In this work, in order to tackle the problem of expression recognition we develop an end-to-end model for efficient expression analysis.  ... 
doi:10.1109/iccvw.2017.189 dblp:conf/iccvw/AbbasnejadSNDFL17 fatcat:kjuakvsqujaopezulebnvzkvpy

Entangled and correlated photon mixed strategy for social decision making [article]

Shion Maeda, Nicolas Chauvet, Hayato Saigo, Hirokazu Hori, Guillaume Bachelier, Serge Huant, Makoto Naruse
2020 arXiv   pre-print
The CMAB problem represents an essential aspect of applications such as resource management in social infrastructure.  ...  In a previous study, we theoretically and experimentally demonstrated that entangled photons can physically resolve the difficulty of the CMAB problem.  ...  Advanced Research Networks and Grants-in-Aid for Scientific Research (A) (JP20H00233) funded by the Japan Society for the Promotion of Science.  ... 
arXiv:2010.13086v1 fatcat:exmoygeykvgfhhtxsqyvezhp44

Finding theme communities from database networks

Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen
2019 Proceedings of the VLDB Endowment  
Here, a theme community is a cohesive subgraph such that a common pattern is frequent in all transaction databases associated with the vertices in the subgraph.  ...  Extensive experiments and a case study demonstrate the effectiveness and scalability of TCFI and TC-Tree in discovering and querying meaningful theme communities from large database networks.  ...  In this paper, we tackle the problem of finding theme communities from DBNs and make the following contributions.  ... 
doi:10.14778/3339490.3339492 fatcat:v3rds2etsvbztmju5fg2qlwkoa

Cost-Effective CNNs for Real-Time Micro-Expression Recognition

Reda Belaiche, Yu Liu, Cyrille Migniot, Dominique Ginhac, Fan Yang
2020 Applied Sciences  
In particular, the use of deep learning techniques on large datasets outperforms classical approaches based on classical machine learning which rely on hand-crafted features.  ...  In this paper, we propose a new network based on the well-known ResNet18 which we optimized for ME classification in two ways.  ...  Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript: ME Micro Expression CL Convolutional Layer M Magnitude  ... 
doi:10.3390/app10144959 fatcat:6emodbpxk5awpc5r4uuvcppg3e

Automatic Facial expression Recognition System using Orientation Histogram and Neural Network

Darli MyintAung, Nyein Aye
2013 International Journal of Computer Applications  
Feed forward neural network is used as a classifier for classifying the expressions of supplied face into five basic expressions like surprise, neutral, sad, happy and angry.  ...  Facial expression is the most challenging task in the field of computer vision. In this paper, an automatic facial expression recognition system from a still frontal posed image is presented.  ...  This system could classify happy, surprise, neutral and sad from the result. This system can classify neutral, happy and surprise as maximum rates.  ... 
doi:10.5120/10568-5639 fatcat:sko6f76oyvdoljv6sx7cqilb2i

Vertical Slicing: Smaller is Better

Ian Michael Ratner, Jack Harvey
2011 2011 AGILE Conference  
The technique of vertical slicing was introduced as a mechanism to combat our agile software development teams developing tendency toward building software in horizontal layers, building one service at  ...  Those habits continued when the next wave of projects with user interfaces came along.In this paper, we highlight the stories of four of our agile teams who tried vertical slicing, the challenges they  ...  Problem Statement We introduced the concept of vertical slicing after beginning to move to a Services Oriented Architecture (SOA), and as we started seeing a large percentage of integration projects in  ... 
doi:10.1109/agile.2011.46 dblp:conf/agiledc/RatnerH11 fatcat:uri44slswnaltjbzjezn27rzga

Fair solutions for some multiagent optimization problems

Bruno Escoffier, Laurent Gourvès, Jérôme Monnot
2012 Autonomous Agents and Multi-Agent Systems  
utility for the given solution and his maximum possible utility.  ...  We consider optimization problems in a multiagent setting where a solution is evaluated with a vector. Each coordinate of this vector represents an agent's utility for the solution.  ...  A way of tackling this problem is to introduce a notion of fairness in the computed solutions.  ... 
doi:10.1007/s10458-011-9188-z fatcat:ob35xt5htbgqdcmpfbs5jr66ee

Finding Theme Communities from Database Networks [article]

Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen
2019 arXiv   pre-print
Here, a theme community is a cohesive subgraph such that a common pattern is frequent in all transaction databases associated with the vertices in the subgraph.  ...  Extensive experiments and a case study demonstrate the effectiveness and scalability of TCFI and TC-Tree in discovering and querying meaningful theme communities from large database networks.  ...  In this paper, we tackle the problem of finding theme communities from DBNs and make the following contributions.  ... 
arXiv:1709.08083v2 fatcat:bthevlxlibdovld2lf7jgtcbx4

Solving terminal assignment problems with groups encoding: The wedding banquet problem

Sancho Salcedo-Sanz, José A. Portilla-Figueras, Fernando García-Vázquez, Silvia Jiménez-Fernández
2006 Engineering applications of artificial intelligence  
We also describe an application of the WBP to mobile communications network design. Two hybrid metaheuristics algorithms for the WBP are presented in the paper.  ...  This paper presents an extension of the terminal assignment problem (TA) in the case that groups of terminals must be assigned together.  ...  Acknowledgements The authors would like to thank the anonymous reviewers for their interesting comments and hints.  ... 
doi:10.1016/j.engappai.2005.10.003 fatcat:tml73dt4mrcxneds4qru3ucyle

Speech-Driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach

Hai X. Pham, Samuel Cheung, Vladimir Pavlovic
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Specifically, the time-varying contextual non-linear mapping between audio stream and visual facial movements is realized by training a LSTM neural network on a large audio-visual data corpus.  ...  Thus, even though our model does not explicitly predict the affective states of the target speaker, her emotional manifestation is recreated via expression weights of the face model.  ...  In such cases, 2D displacement errors tend to be large, i.e. the predicted 2D landmarks differ from the 2D projection of their corresponding 3D vertices considerably, and these errors are minimized in  ... 
doi:10.1109/cvprw.2017.287 dblp:conf/cvpr/PhamCP17 fatcat:2pgkt24qjfg7vl2iciqujrexte

Deep Learning-Based Sentimental Analysis for Large-Scale Imbalanced Twitter Data

Jamal, Xianqiao, Aldabbas
2019 Future Internet  
To tackle this issue, this paper presents a hybrid approach of deep learning based on TensorFlow with Keras for emotions detection on a large scale of imbalanced tweets' data.  ...  However, it is a challenging task to distinguish useful emotions' features from a large corpus of text because emotions are subjective, with limited fuzzy boundaries that may be expressed in different  ...  Also, the data imbalance and sparsity features problem is not tackled before applying classification algorithms.  ... 
doi:10.3390/fi11090190 fatcat:pin75fpj5jfzpmjd5krsomwm5q

Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks [article]

Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang
2019 arXiv   pre-print
In this paper, we propose a syntax-based graph convolution network (GCN) model to enhance the understanding of diverse grammatical structures of Chinese microblogs.  ...  In experiments, for Chinese microblogs emotion classification categories including happiness, sadness, like, anger, disgust, fear, and surprise, the F-measure of our model reaches 82.32% and exceeds the  ...  However, the maximum value might not be the best choice all the time. If there is a very large outlier in a group of numbers, max pooling always output the outlier.  ... 
arXiv:1912.02545v1 fatcat:r5pihl2zsrf3fe4pblg53njy2i
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