Relevant bibliographies by topics / Joint encoding

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Joint encoding'

Author: Grafiati
Published: 30 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "Joint encoding"

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Chapman, Christian, and Daniel W. Bliss. "Upper Bound on the Joint Entropy of Correlated Sources Encoded by Good Lattices." Entropy 21, no. 10 (2019): 957. http://dx.doi.org/10.3390/e21100957.

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Lattices provide useful structure for distributed coding of correlated sources. A common lattice encoder construction is to first round an observed sequence to a `fine’ lattice with dither, then produce the result’s modulo to a `coarse’ lattice as the encoding. However, such encodings may be jointly-dependent. A class of upper bounds is established on the conditional entropy-rates of such encodings when sources are correlated and Gaussian and the lattices involved are a from an asymptotically-well-behaved sequence. These upper bounds guarantee existence of a joint–compression stage which can i
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Elbayad, Maha, Laurent Besacier, and Jakob Verbeek. "Joint source–target encoding with pervasive attention." Machine Translation 35, no. 4 (2021): 637–59. http://dx.doi.org/10.1007/s10590-021-09289-7.

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Kondi, L. P., G. Melnikov, and A. K. Katsaggelos. "Joint Optimal Object Shape Estimation and Encoding." IEEE Transactions on Circuits and Systems for Video Technology 14, no. 4 (2004): 528–33. http://dx.doi.org/10.1109/tcsvt.2004.825569.

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Rong, Dang, and Feng Gang. "Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method." Sensors 24, no. 22 (2024): 7289. http://dx.doi.org/10.3390/s24227289.

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To address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph convolution is proposed. First, the standard coordinate encoding is improved by generating an unbiased heat map, and the distribution-aware method is used for decoding coordinates to reduce the error in decoding the coordinate encoding of joints. Then, the complex dependency relationship between the joints and the relationship between pixels and join
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Rayes, Ramsey K., Rachel N. Mazorow, Leigh A. Mrotek, and Robert A. Scheidt. "Utility and Usability of Two Forms of Supplemental Vibrotactile Kinesthetic Feedback for Enhancing Movement Accuracy and Efficiency in Goal-Directed Reaching." Sensors 23, no. 12 (2023): 5455. http://dx.doi.org/10.3390/s23125455.

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Recent advances in wearable sensors and computing have made possible the development of novel sensory augmentation technologies that promise to enhance human motor performance and quality of life in a wide range of applications. We compared the objective utility and subjective user experience for two biologically inspired ways to encode movement-related information into supplemental feedback for the real-time control of goal-directed reaching in healthy, neurologically intact adults. One encoding scheme mimicked visual feedback encoding by converting real-time hand position in a Cartesian fram
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Dou Shuaifeng, 窦帅风, 雷鸣 Lei Ming, 沈学举 Shen Xueju, and 林超 Lin Chao. "Joint Fresnel Transform Correlator Based on Phase Encoding." Laser & Optoelectronics Progress 53, no. 12 (2016): 120701. http://dx.doi.org/10.3788/lop53.120701.

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Liu, Chen, Feng Li, Xian Sun, and Hongzhe Han. "Attention-Based Joint Entity Linking with Entity Embedding." Information 10, no. 2 (2019): 46. http://dx.doi.org/10.3390/info10020046.

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Entity linking (also called entity disambiguation) aims to map the mentions in a given document to their corresponding entities in a target knowledge base. In order to build a high-quality entity linking system, efforts are made in three parts: Encoding of the entity, encoding of the mention context, and modeling the coherence among mentions. For the encoding of entity, we use long short term memory (LSTM) and a convolutional neural network (CNN) to encode the entity context and entity description, respectively. Then, we design a function to combine all the different entity information aspects
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Zhu, Dan, Zhuyuan Wang, Shenfei Zong, Hui Chen, Peng Chen, and Yiping Cui. "Wavenumber–intensity joint SERS encoding using silver nanoparticles for tumor cell targeting." RSC Adv. 4, no. 105 (2014): 60936–42. http://dx.doi.org/10.1039/c4ra11522h.

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A new optical encoding approach, the wavenumber–intensity joint surface enhanced Raman scattering (SERS) spectral encoding method, was demonstrated by using silver nanoparticles with a core–shell structure.
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Shin, Jaehun, Wonkee Lee, Byung-Hyun Go, Baikjin Jung, Youngkil Kim, and Jong-Hyeok Lee. "Exploration of Effective Attention Strategies for Neural Automatic Post-editing with Transformer." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–17. http://dx.doi.org/10.1145/3465383.

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Automatic post-editing (APE) is the study of correcting translation errors in the output of an unknown machine translation (MT) system and has been considered as a method of improving translation quality without any modification to conventional MT systems. Recently, several variants of Transformer that take both the MT output and its corresponding source sentence as inputs have been proposed for APE; and models introducing an additional attention layer into the encoder to jointly encode the MT output with its source sentence recorded a high-rank in the WMT19 APE shared task. We examine the eff
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Song, Wenjun, Congxian Li, and Qiuwen Zhang. "Rapid CU Partitioning and Joint Intra-Frame Mode Decision Algorithm." Electronics 13, no. 17 (2024): 3465. http://dx.doi.org/10.3390/electronics13173465.

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H.266/Versatile Video Coding (VVC) introduces new techniques that build upon previous standards, proposing a nested multi-type tree quadtree (QTMT). The introduction of this structure significantly enhances video coding efficiency; additionally, the number of directional modes in H.266 has increased by 32 compared to H.265, accommodating a greater variety of texture patterns. However, the changes in the related structures have also led to a significant increase in encoding complexity. To address the issue of excessive computational complexity, this paper proposes a targeted rapid Coding Units
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Dissertations / Theses on the topic "Joint encoding"

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Bulling, Duncan George Spencer. "Expression of the sensory neuropeptide encoding genes, βPPT-A and α-CGRP in adjuvant-induced joint inflammation". Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/21663.

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Following the observation that individuals with hemiplegia or poliomyelitis resist the development of rheumatoid arthritis in the affected limb the sensory nervous system has been implicated in the aetiology of joint inflammation. Sensory neuropeptides, produced in dorsal root ganglia (DRG), released from central and peripheral terminals of sensory nerves upon noxious stimulation, are implicated in central and peripheral events underlying inflammation. Previous work has explored neuropeptide gene expression in DRG neurones in the Freund's Complete Adjuvant (FCA) model of unilateral tibio-tarsa
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Soto, Daniel. "Techniques to accelerate the transition to a new generation of terrestrial digital TV." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671364.

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This thesis explores the problem of compatibility between generations in the field of Digital Television, and proposes solutions to this problem. Since its inception, the DTV has been under development without taking into account the ability to continue receiving broadcasts with legacy equipment when a new generation is introduced. Therefore, when it comes time to introduce a new technology, a simulcast solution is usually used. The study carried out in this thesis explains the reasons why a traditional simulcast is a problem. As a concrete study example, the case of the transition from
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Sadikine, Mohamed Amine. "Deep vascular segmentation with geometric and topological constraints." Electronic Thesis or Diss., Brest, 2024. http://www.theses.fr/2024BRES0042.

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Dans le domaine de l’analyse d’images médicales, la segmentation des vaisseaux sanguins joue un rôle clé dans l’amélioration du diagnostic assisté par ordinateur et de la planification chirurgicale. Ce travail introduit trois contributions innovantes en segmentation automatique de structures vasculaires. Premièrement, nous présentons une méthodologie qui améliore les architectures inspirées de U-Net avec un auto-encodeur convolutif semi-surcomplet qui intègre des a priori de forme pour améliorer la délimitation des vaisseaux, avec un focus particulier sur la caractérisation des structures fine
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Chen, Yingwen. "XQuery Query Processing in Relational Systems." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1201.

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With the rapid growth of XML documents to serve as a popular and major media for storage and interchange of the data on the Web, there is an increasing interest in using existing traditional relational database techniques to store and/or query XML data. Since XQuery is becoming a standard XML query language, significant effort has been made in developing an efficient and comprehensive XQuery-to-SQL query processor. In this thesis, we design and implement an <em>XQuery-to-SQL Query Processor</em> based on the <em>Dynamic Intervals</em> approach. We also provide a comprehensive transl
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施宣光. "Reversible Steganography for BTC-compressed Images Based on Information Encoding and Joint Neighboring Coding." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/69854057230916163759.

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碩士<br>國立彰化師範大學<br>資訊工程學系<br>102<br>Recently, reversible steganography becomes a popular research issue. More and more attention have been paid to reversible data hiding techniques for compressed images based on Vector Quantization(VQ),JPEG, and Block Truncation Coding(BTC),because it can recover both the host media and hidden data without distortion. Compared with other compressed method, BTC has a significantly low complexity and less memory requirement, it therefore becomes an ideal data hiding domain. Reversible information hiding is a technique that can restore the stego-media afte
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Chiu, Chih-Ming, and 邱志明. "Joint Design of H.264 SVC/MGS Encoding, Extraction and Unequal Erasure Protection for Rateless Wireless Broadcasting." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/92124607963327045804.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>100<br>This study aims to supple¬ment Scalable Video Coding (SVC) with the proper ex¬traction of SVC-NAL units and the corresponding UEP channel coding of extracted layers, so that the resultant bit¬-streams can exhibit near-optimal rate-distortion perfor¬mance in lossy broad-casting environments without the need of re-encoding the SVC bit¬streams. In this thesis, we propose a novel joint design system of SVC/MGS optimized rate-distortion extraction and Rateless UEP code to endow wireless SVC broadcasting. Through the analysis of SVC bit-streams, we obtained the d
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Yu-Wei, Wang. "High order joint source channel decoding and conditional entropy encoding novel bridging techniques between performance and complexity /." 2004. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-444/index.html.

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Books on the topic "Joint encoding"

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Echterhoff, Gerald, and René Kopietz. The Socially Shared Nature of Memory: From Joint Encoding to Communication. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198737865.003.0007.

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This chapter explores incidental, indirect ways in which memory is shaped by interpersonal interaction and communication, that is, without collaboration of several individuals on an explicit memory task. The first section discusses research showing that encoding stimuli together with another person improves memory for the experience. Some studies examine memory effects from task sharing and joint action, while others explore effects of the mere joint experience of stimuli. The second section turns to effects of social sharing in communication on memory, specifically, the effects of conversatio
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Mundy, Peter. A Neural Networks, Information-Processing Model of Joint Attention and Social-Cognitive Development. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0010.

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A neural networks approach to the development of joint attention can inform the study of the nature of human social cognition, learning, and symbolic thought process. Joint attention development involves increments in the capacity to engage in simultaneous or parallel processing of information about one’s own attention and the attention of other people. Infant practice with joint attention is both a consequence and an organizer of a distributed and integrated brain network involving frontal and parietal cortical systems. In this chapter I discuss two hypotheses that stem from this model. One i
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Book chapters on the topic "Joint encoding"

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Cai, Hua, Qing Xu, and Weilin Shen. "Complex Relative Position Encoding for Improving Joint Extraction of Entities and Relations." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_66.

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AbstractRelative position encoding (RPE) is important for transformer based pretrained language model to capture sequence ordering of input tokens. Transformer based model can detect entity pairs along with their relation for joint extraction of entities and relations. However, prior works suffer from the redundant entity pairs, or ignore the important inner structure in the process of extracting entities and relations. To address these limitations, in this paper, we first use BERT with complex relative position encoding (cRPE) to encode the input text information, then decompose the joint ext
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Xie, Zhihua, and Zhengzi Wang. "Joint Encoding of Multi-scale LBP for Infrared Face Recognition." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12286-1_27.

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Zhang, Wei, Yuejing Zhang, and Aiyun Zhan. "Zero-Tree Wavelet Algorithm Joint with Huffman Encoding for Image Compression." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-49017-4_11.

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Ahlswede, R., and Z. Zhang. "Estimating with Randomized Encoding the Joint Empirical Distribution in a Correlated Source." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11889342_31.

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Saju, Gulfam, Alan Okinaka, and Yuchou Chang. "Exploiting Generative Adversarial Networks in Joint Sensitivity Encoding for Enhanced MRI Reconstruction." In Advances in Visual Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47966-3_35.

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Zhang, Jiaxing, and Gunar Schirner. "Joint Algorithm Developing and System-Level Design: Case Study on Video Encoding." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38853-8_3.

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Giannakeris, Panagiotis, Georgios Meditskos, Konstantinos Avgerinakis, Stefanos Vrochidis, and Ioannis Kompatsiaris. "Real-Time Recognition of Daily Actions Based on 3D Joint Movements and Fisher Encoding." In MultiMedia Modeling. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37734-2_49.

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Rinderknecht, Christian. "Proving a Soundness Property for the Joint Design of ASN.1 and the Basic Encoding Rules." In System Analysis and Modeling. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31810-1_11.

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Lee, Chungcheng, and Chulung Chen. "Distortion Tolerant Color Pattern Recognition by Using Mach-Zehnder Joint Transform Correlator with Image Encoding Technique." In Lecture Notes in Electrical Engineering. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74938-9_35.

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Li, Lei, Xin Weng, Julia A. Schnabel, and Xiahai Zhuang. "Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59719-1_12.

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Conference papers on the topic "Joint encoding"

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Sadikine, A., B. Badic, E. Ferrante, et al. "Deep Vessel Segmentation with Joint Multi-Prior Encoding." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635835.

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Zhong, Zhichao, Ling Luo, Xiaohan He, and Hao Li. "Temporal Encoding for Sequential Recommendation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651120.

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Baracat, Farah, Luca Manneschi, and Elisa Donati. "Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals." In 2025 Neuro Inspired Computational Elements (NICE). IEEE, 2025. https://doi.org/10.1109/nice65350.2025.11065840.

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Liang, Min-Yu, Yun-Chieh Chang, and Jason Lin. "Color Image Steganography with Authentication via Scalable Index Encoding." In 2024 19th Asia Joint Conference on Information Security (AsiaJCIS). IEEE, 2024. http://dx.doi.org/10.1109/asiajcis64263.2024.00031.

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Chen, Si, and Bang Wang. "Encoding Individual Activation and Collective Diffusion Capability for Influence Maximization." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650712.

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Ye, Shujia, Ligang Cao, Chun Yuan, et al. "Stereo Matching Method with Integrated Geometric Encoding for Disparity Refinement." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650651.

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Ignatiev, Alexey, Antonio Morgado, and Joao Marques-Silva. "Cardinality Encodings for Graph Optimization Problems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/91.

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Different optimization problems defined on graphs find application in complex network analysis. Existing propositional encodings render impractical the use of propositional satisfiability (SAT) and maximum satisfiability (MaxSAT) solvers for solving a variety of these problems on large graphs. This paper has two main contributions. First, the paper identifies sources of inefficiency in existing encodings for different optimization problems in graphs. Second, for the concrete case of the maximum clique problem, the paper develops a novel encoding which is shown to be far more compact than exist
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Wang, Ruiwei, and Roland H. C. Yap. "Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/165.

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Constraint Satisfaction Problems (CSPs) are typically solved with Generalized Arc Consistency (GAC). A general CSP can also be encoded into a binary CSP and solved with Arc Consistency (AC). The well-known Hidden Variable Encoding (HVE) is still a state-of-the-art binary encoding for solving CSPs. We propose a new binary encoding, called Bipartite Encoding (BE) which uses the idea of partitioning constraints. A BE encoded CSP can achieve a higher level of consistency than GAC on the original CSP. We give an algorithm for creating compact bipartite encoding for non-binary CSPs. We present a AC
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Kunanbayev, Kassymzhomart, Islambek Temirbek, and Amin Zollanvari. "Complex Encoding." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9534094.

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Hsieh, Cheng-Han, and Jie-Hong R. Jiang. "Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/255.

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Statistical inference is a powerful technique in various applications. Although many statistical inference tools are available, answering inference queries involving complex quantification structures remains challenging. Recently, solvers for Stochastic Boolean Satisfiability (SSAT), a powerful formalism allowing concise encodings of PSPACE decision problems under uncertainty, are under active development and applied in more and more applications. In this work, we exploit SSAT solvers for the inference of Probabilistic Graphical Models (PGMs), an essential representation for probabilistic reas
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Reports on the topic "Joint encoding"

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Chalutz, Edo, Charles Wilson, Samir Droby, et al. Induction of Resistance to Postharvest Diseases and Extension of Shelf-Life of Fruits and Vegetables by Ultra-Violet Light. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568093.bard.

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Following preliminary observations by one of the collaborating scientists on this project and the completion of a 1-year, BARD-supported feasibility study (IS-1908-90F), this 3-year BARD project has been executed. The main objectives of the research were to elucidate biochemical and pathological aspects of UV-induced resistance in fruits and vegetables, to characterize physical and biological variables of induced resistance and delay of ripening, and to explore the application of the treatment as a control practice of postharvest diseases and shelf-life extension of fruits and vegetables. Our
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INVERSION METHOD OF UNCERTAIN PARAMETERS FOR TRUSS STRUCTURES BASED ON GRAPH NEURAL NETWORKS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.5.

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Uncertainty exists widely in practical engineering. It is an important challenge in engineering structural analysis. In truss structures, the uncertainties of axial stiffness of bolted joints will significantly affect the mechanical behavior of the structure as the axial load is dominated by the member internal forces. Structural response analysis based on determined structural parameters is a common forward problem that can be solved by modeling analysis methods. However, the uncertainties parameter of axial stiffness of bolted joint cannot be determined during the design and analysis of trus
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