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Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
[article]
2021
arXiv
pre-print
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In this paper, we propose to incorporate the risk-aware inter-class correlation in a discrete optimal transport (DOT) training framework by configuring its ground distance matrix. ...
However, the CE loss can essentially ignore the risk of misclassification which is usually measured by the distance between the prediction and label in a semantic hierarchical tree. ...
CONCLUSIONS We propose a novel risk minimization framework for image classification, namely discrete optimal transport (DOT) training, by leveraging semantic tree structure. ...
arXiv:2105.00101v1
fatcat:c7yoda3p65fkpktis5eehcduxq
Variance-minimizing transport plans for inter-surface mapping
2017
ACM Transactions on Graphics
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Instead, our approach directly optimizes a transport plan over the two surfaces, bypassing the need for embedding spaces. ...
Instead of relying on semantic correspondences or surface parameterization, we directly optimize a variance-minimizing transport plan between two input surfaces that de nes an as-conformal-as-possible ...
A coarse-to-ne approach based on a hierarchy built in di usion geometry is then devised to e ciently optimize the map through alternating minimizations and reduce the risk of getting trapped in local minima ...
doi:10.1145/3072959.3073671
fatcat:t6rxkwurjfahjj6niltixvmpw4
A simulation optimization framework for discrete event logistics systems (DELS)
2015
2015 Winter Simulation Conference (WSC)
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For large-scale, complex systems, both simulation and optimization methods are needed to support system design and operational decision making. ...
This paper argues that the required integration can be successfully achieved, within a specific domain, by using a formal domain specific language for specifying instance problems and for structuring the ...
Finally, the last stage in the design hierarchy searches for optimal inventory policies for subcomponents at each workstation and enumerates dispatch policies for releasing work into the system. ...
doi:10.1109/wsc.2015.7408383
dblp:conf/wsc/SprockM15
fatcat:7o6qf74eavdjtn4pi5vjkwleyi
Practical and Verifiable C++ Dynamic Cast for Hard Real-Time Systems
2008
Journal of Computing Science and Engineering
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DMS is responsible for the storage and transport of control and scientific data in a remote autonomous spacecraft. ...
Like similar operators in other languages, the C++ dynamic cast operator does not provide the timing guarantees needed for hard real-time embedded systems. ...
The two general strategies for approaching a discrete optimization problem can be classified as deterministic and probabilistic. ...
doi:10.5626/jcse.2008.2.4.375
fatcat:wteob57eebexfkb346rwhe77lu
Hyperbolic Deep Neural Networks: A Survey
[article]
2021
arXiv
pre-print
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Recently, there has been a rising surge of momentum for deep representation learning in hyperbolic spaces due to theirhigh capacity of modeling data like knowledge graphs or synonym hierarchies, possessing ...
We refer to the model as hyperbolic deep neural network in this paper. ...
We also want to thank Emile Mathieu, from University of Oxford, for the explanation regarding the gyroplane layer in their Poincaré Variational Auto-Encoder. ...
arXiv:2101.04562v3
fatcat:yqj4zohrqjbplpsdy5f5uglnbu
ORFFM: An Ontology-based Semantic Model of River Flow and Flood Mitigation
2021
IEEE Access
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We are thankful for the Center for Research in Ubiquitous Computing (CRUC) Mohammad Ali Jinnah University (Karachi) and Sukkur IBA University (Sukkur) for research facilities. ...
We formalize the irrigation system, disaster management, and administration in the context of flow optimization and flood risk mitigation with a modular approach. ...
Embedding this weekly information using semantic representation and sharing among stakeholders enables to provide relief activities on time to affected communities for shelter, food, health, and other ...
doi:10.1109/access.2021.3066255
fatcat:veko55whanfb7n7zskrc2t2tb4
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
[article]
2021
arXiv
pre-print
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In this paper, we propose a method to learn the weights of subtree patterns in the framework of WWL kernels, the state of the art method for graph classification task [14]. ...
graphs and are plugged into a kernel machine such as a support vector machine.Weisfeiler-Lehman (WL) based graph kernels, which employ WL labeling scheme to extract subtree patterns and perform node embedding ...
In a similar vein, Wasserstein WL (WWL, [14] ) uses optimal transport (OT), also known as Wasserstein distance [16] , for measuring the distance between two graphs based on their WL node embeddings. ...
arXiv:2106.04739v1
fatcat:bd3zp24etvgc5bz7343ehqxwny
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
[article]
2020
arXiv
pre-print
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To alleviate these issues, we propose the concept of nested-Wasserstein distance for distributional semantic matching. ...
However, the conventional rewards used for RL training typically cannot capture sufficient semantic information and therefore render model bias. ...
Acknowledge The authors would like to thank the anonymous reviewers for their insightful comments. The research was supported in part by DARPA, DOE, NIH, NSF and ONR. ...
arXiv:2001.06944v1
fatcat:bcdhqcnwhba6feyf455ncgw27q
Event-based Reactive Production Order Scheduling for Manufacturing Execution Systems*
2011
IFAC Proceedings Volumes
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It is shown that in the presence of unexpected events the rescheduling algorithm minimizes delays and inventory costs while avoiding "nervous schedules" caused by frequent changes. ...
The system leverages logic-based complex event processing for detecting critical disruptions in the supply chain and initiates rescheduling of production. ...
The lab consists of two parts one in Karlsruhe, which is related to process industry and one part in Nuremberg for discrete manufacturing purposes. ...
doi:10.3182/20110828-6-it-1002.02054
fatcat:ijpjvhxe2bg7jaafmrhrnojcyq
Languages and Tools for Hybrid Systems Design
2006
Foundations and Trends® in Electronic Design Automation
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As a step in this direction, we make the case for a semantic-aware interchange format, which would enable the use of joint techniques, make a formal comparison between different approaches possible, and ...
software tools that have been developed for modeling, verifying, and designing hybrid and embedded control systems. ...
This work has been supported in part by the Columbus Project of the European Community, the GSRC (MARCO Award#: 2003-DT-660), the Artist 2 and HYCON Networks of Excellence, and by CHESS (the Center for ...
doi:10.1561/1000000001
fatcat:e27dfodqcranhememam757wdj4
Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Application
...
2017
Advances in Science, Technology and Engineering Systems
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A Semantic-less Breach detection system that implements a self-learning system was prototyped and resulted in up to 87% True-Positive rate with 93% True-Negative. ...
The paper also describes a tool and technique for detecting anomalous behavior in resource usage across the federation participants. ...
Later sections will formulate the risk function and show how cloud-federation minimizes those challenges by using the semantic-less breach detection system and show how most risks originate by crossing ...
doi:10.25046/aj020371
fatcat:nm5dmv2atncmrj7scg3kwgq7l4
The value chain of Industrial IoT and its reference framework for digitalization
[article]
2020
arXiv
pre-print
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Nowadays, we are rapidly moving beyond bespoke detailed solutions tailored for very specific problems, and we already build upon reusable and more general purpose infrastructures and tools, referring to ...
These are what will be discussed in this paper. ...
The authors would like in particular to thank the funds of China Post-doctoral as No.sz32343. ...
arXiv:2009.13039v1
fatcat:e44mrtb4kzatvdthzz7fih3mka
Evolution of semantic networks in biomedical texts
[article]
2018
arXiv
pre-print
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Here we ask whether the organization of language in written text displays the fractal hierarchical architecture common in systems optimized for efficient information transmission. ...
Using 32 scientific manuscripts - each containing between three and 26 iterations of revision - we construct semantic networks in which nodes represented unique words in each manuscript, and edges connect ...
In biology, studies have shown that networked systems are cost-efficiently (but not cost minimally) embedded in physical space [8, 10] . ...
arXiv:1810.10534v1
fatcat:jirzuofwjjf5bmv7v5r63kryga
Diverse Visualization Techniques and Methods of Moving-Object-Trajectory Data: A Review
2019
ISPRS International Journal of Geo-Information
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Trajectory big data have significant applications in many areas, such as traffic management, urban planning and military reconnaissance. ...
trajectories, which can macroscopically study the spatiotemporal conditions of the entire trajectory set and microscopically analyze the individual movement of each trajectory; such methods are widely used in ...
Hierarchy
Hierarchy in Multidimensional Data The fundamental idea of hierarchy-based multidimensional trajectory data-visualization techniques involves dividing the multidimensional space into multiple ...
doi:10.3390/ijgi8020063
fatcat:fjd5jjfrhncfpowutovxxiyhpe
The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping
2013
European Journal of Operational Research
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Such institutions are especially interested in minimizing the total cost of purchase which consists of the prices at which particular products are bought and the cost of their transportation. ...
for the optimization of plants and entire supply chains that are involved in EWO problems. ...
-Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy, menoncin@eco.unibs.it, Rosella Levaggi ...
doi:10.1016/j.ejor.2012.08.016
fatcat:c27kagfnxnhjfbil2rydhjhomm
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