Bibliografías temáticas / Encodage joint

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Literatura académica sobre el tema "Encodage joint"

Autor: Grafiati
Publicado: 30 de noviembre de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Encodage joint"

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Wu, Jiahua, and Hyo-Jong Lee. "A New Multi-Person Pose Estimation Method Using the Partitioned CenterPose Network." Applied Sciences 11, no. 9 (2021): 4241. http://dx.doi.org/10.3390/app11094241.

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In bottom-up multi-person pose estimation, grouping joint candidates into the appropriately structured corresponding instance of a person is challenging. In this paper, a new bottom-up method, the Partitioned CenterPose (PCP) Network, is proposed to better cluster the detected joints. To achieve this goal, we propose a novel approach called Partition Pose Representation (PPR) which integrates the instance of a person and its body joints based on joint offset. PPR leverages information about the center of the human body and the offsets between that center point and the positions of the body’s j
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2

Solère, Jérémie, Jean-Yves Meunier, Jean-Pierre Hébrard, et al. "Faune entomologique du site de la Feuillane, Fos-sur-Mer (Bouches-du-Rhône, France)." Bulletin de la Société linnéenne de Provence 73 (July 6, 2023): 129–51. https://doi.org/10.5281/zenodo.8119288.

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Version en ligne des données présentées et discutées dans Solere J., Meunier J.-Y., Hebrard J.-P., Grima L., Schurr L., Claude J., Lebard T., Gachet S. et Neve G. 2022 Faune entomologique du site de la Feuillanne, Fos-sur-Mer (Bouches-du-Rhône) Bulletin de la Socété Linnéenne de Provence, 73 : 129–151. avec correction dans : Neve, G., Hebrard J.-P. et Soldati, F. 2023. Première mention de Microrhagus pyrenaeus Bonvouloir, 1872 en région Provence-Alpes-Côte-d’Azur (Coleoptera, Eucnemidae). Bulletin de la
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3

Vlutters, Mark, Edwin H. F. van Asseldonk, and Herman van der Kooij. "Ankle muscle responses during perturbed walking with blocked ankle joints." Journal of Neurophysiology 121, no. 5 (2019): 1711–17. http://dx.doi.org/10.1152/jn.00752.2018.

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The ankle joint muscles can contribute to balance during walking by modulating the center of pressure and ground reaction forces through an ankle moment. This is especially effective in the sagittal plane through ankle plantar- or dorsiflexion. If the ankle joints were to be physically blocked to make an ankle strategy ineffective, there would be no functional contribution of these muscles to balance during walking, nor would these muscles generate afferent output regarding ankle joint rotation. Consequently, ankle muscle activation for the purpose of balance control would be expected to disap
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4

Wen, Yu-Hui, Lin Gao, Hongbo Fu, Fang-Lue Zhang, and Shihong Xia. "Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8989–96. http://dx.doi.org/10.1609/aaai.v33i01.33018989.

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Hierarchical structure and different semantic roles of joints in human skeleton convey important information for action recognition. Conventional graph convolution methods for modeling skeleton structure consider only physically connected neighbors of each joint, and the joints of the same type, thus failing to capture highorder information. In this work, we propose a novel model with motif-based graph convolution to encode hierarchical spatial structure, and a variable temporal dense block to exploit local temporal information over different ranges of human skeleton sequences. Moreover, we em
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5

Bosco, G., R. E. Poppele, and J. Eian. "Reference Frames for Spinal Proprioception: Limb Endpoint Based or Joint-Level Based?" Journal of Neurophysiology 83, no. 5 (2000): 2931–45. http://dx.doi.org/10.1152/jn.2000.83.5.2931.

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Many sensorimotor neurons in the CNS encode global parameters of limb movement and posture rather than specific muscle or joint parameters. Our investigations of spinocerebellar activity have demonstrated that these second-order spinal neurons also may encode proprioceptive information in a limb-based rather than joint-based reference frame. However, our finding that each foot position was determined by a unique combination of joint angles in the passive limb made it difficult to distinguish unequivocally between a limb-based and a joint-based representation. In this study, we decoupled foot p
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Day, James, Leah R. Bent, Ingvars Birznieks, Vaughan G. Macefield, and Andrew G. Cresswell. "Muscle spindles in human tibialis anterior encode muscle fascicle length changes." Journal of Neurophysiology 117, no. 4 (2017): 1489–98. http://dx.doi.org/10.1152/jn.00374.2016.

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Muscle spindles provide exquisitely sensitive proprioceptive information regarding joint position and movement. Through passively driven length changes in the muscle-tendon unit (MTU), muscle spindles detect joint rotations because of their in-parallel mechanical linkage to muscle fascicles. In human microneurography studies, muscle fascicles are assumed to follow the MTU and, as such, fascicle length is not measured in such studies. However, under certain mechanical conditions, compliant structures can act to decouple the fascicles, and, therefore, the spindles, from the MTU. Such decoupling
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Zhang, Fenghao, Lin Zhao, Shengling Li, Wanjuan Su, Liman Liu, and Wenbing Tao. "3D hand pose and shape estimation from monocular RGB via efficient 2D cues." Computational Visual Media 10, no. 1 (2023): 79–96. http://dx.doi.org/10.1007/s41095-023-0346-4.

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AbstractEstimating 3D hand shape from a single-view RGB image is important for many applications. However, the diversity of hand shapes and postures, depth ambiguity, and occlusion may result in pose errors and noisy hand meshes. Making full use of 2D cues such as 2D pose can effectively improve the quality of 3D human hand shape estimation. In this paper, we use 2D joint heatmaps to obtain spatial details for robust pose estimation. We also introduce a depth-independent 2D mesh to avoid depth ambiguity in mesh regression for efficient hand-image alignment. Our method has four cascaded stages:
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8

Zill, S. N. "Plasticity and proprioception in insects. I. Responses and cellular properties of individual receptors of the locust metathoracic femoral chordotonal organ." Journal of Experimental Biology 116, no. 1 (1985): 435–61. http://dx.doi.org/10.1242/jeb.116.1.435.

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The metathoracic femoral chordotonal organ is a joint angle receptor of the locust hindleg. It consists of 45–55 bipolar sensory neurones located distally in the femur and mechanically coupled to the tibia. Responses of receptors of the organ were examined by extracellular and intracellular recording. The organ as a whole encodes the angle of the femorotibial joint but shows substantial hysteresis. Tonic activity is greatest at the extremes of joint position. The organ possesses no direct linkage to tibial muscle fibres and shows no response to resisted muscle contractions in most ranges of jo
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Ajemian, Robert, Daniel Bullock, and Stephen Grossberg. "Kinematic Coordinates In Which Motor Cortical Cells Encode Movement Direction." Journal of Neurophysiology 84, no. 5 (2000): 2191–203. http://dx.doi.org/10.1152/jn.2000.84.5.2191.

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During goal-directed reaching in primates, a sensorimotor transformation generates a dynamical pattern of muscle activation. Within the context of this sensorimotor transformation, a fundamental question concerns the coordinate systems in which individual cells in the primary motor cortex (MI) encode movement direction. This article develops a mathematical framework that computes, as a function of the coordinate system in which an individual cell is hypothesized to operate, the spatial preferred direction (pd) of that cell as the arm configuration and hand location vary. Three coordinate syste
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10

BRINGMANN, KATHRIN. "CONGRUENCES FOR DYSON'S RANKS." International Journal of Number Theory 05, no. 04 (2009): 573–84. http://dx.doi.org/10.1142/s1793042109002262.

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In this paper, we prove infinite families of congruences for coefficients of harmonic Maass forms whose coefficients encode Dyson's rank. This generalizes the earlier joint work of the author with Ken Ono.
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Tesis sobre el tema "Encodage joint"

1

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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Libros sobre el tema "Encodage joint"

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McDougall, Jason J., and Joel A. Vilensky. The innervation of the joint and its role in osteoarthritis pain. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0007.

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Diarthrodial joints possess an extensive network of sensory and sympathetic nerve fibres whose physiological functions are varied and complex. Nerves are primarily located in the synovium but also innervate the subchondral bone, the outer third of menisci, and the superficial surface of tendons and ligaments. Large-diameter, myelinated neurons are involved in joint position sense while small-diameter neurons with thin or no myelin typically sense pain. The small-diameter nerves in conjunction with sympathetic fibres control synovial blood flow and maintain joint homeostasis. In patients with o
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2

Hakim, Alan J., and Rodney Grahame. Hypermobility syndromes. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0159.

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Hypermobility-related syndromes constitute a family of heritable disorders of connective tissue (HDCT) that derive from abnormalities affecting genes that encode for the connective tissue matrix proteins such as collagen, fibrillin, and tenascin. They range from such commonplace though poorly recognized conditions such as the joint hypermobility syndrome (JHS) to the better-known, if more rare, eponymous syndromes such as Marfan's syndrome (MFS) and the different types of the Ehlers-Danlos syndrome (EDS). The more common presentations are with skin pathology (bruising, scaring), joint or spina
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Capítulos de libros sobre el tema "Encodage joint"

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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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2

Jothimurugan, Kishor, Suguman Bansal, Osbert Bastani, and Rajeev Alur. "Specification-Guided Learning of Nash Equilibria with High Social Welfare." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_17.

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AbstractReinforcement learning has been shown to be an effective strategy for automatically training policies for challenging control problems. Focusing on non-cooperative multi-agent systems, we propose a novel reinforcement learning framework for training joint policies that form a Nash equilibrium. In our approach, rather than providing low-level reward functions, the user provides high-level specifications that encode the objective of each agent. Then, guided by the structure of the specifications, our algorithm searches over policies to identify one that provably forms an $$\epsilon $$ ϵ
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3

Singer, Wolf. "Time as Coding Space in the Cerebral Cortex." In Functional Neuroimaging of Visual Cognition. Oxford University PressOxford, 2004. http://dx.doi.org/10.1093/oso/9780198528456.003.0005.

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Abstract Evidence is reviewed which suggests that the cerebral cortex applies, in parallel, complementary strategies to enhance the saliency of neuronal responses selected for further joint processing and to encode relations among the activities of distributed neurons. Saliency is enhanced by increasing discharge rate and/or by synchronizing the discharges of neurons. Relations between distributed neurons are encoded by integrating their responses in conjunction with specific neurons or by associating the neurons in functionally coherent cell assemblies that are distinguished by synchronous fi
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4

"Review of Probability Elicitation and Examination of Approaches for Large Bayesian Networks." In Adaptive Security and Cyber Assurance for Risk-Based Decision Making. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7766-3.ch009.

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Probability elicitation is the process of formulating a person's knowledge and beliefs about one or more uncertain quantities into a joint probability distribution for those quantities. The important point is that the goal of elicitation is to capture a person's knowledge and beliefs based upon their current state of information. Consequently, the results of elicitation need be only good enough to make reasoned decisions or reasonable inferences. This chapter identifies how to elicit probabilities for large conditional probability tables in Bayesian networks. This chapter looks at Bayesian net
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5

Alonso-Barba, Juan I., Jens D. Nielsen, Luis de la Ossa, and Jose M. Puerta. "Learning Probabilistic Graphical Models." In Medical Applications of Intelligent Data Analysis. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1803-9.ch015.

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Probabilistic Graphical Models (PGM) are a class of statistical models that use a graph structure over a set of variables to encode independence relations between those variables. By augmenting the graph by local parameters, a PGM allows for a compact representation of a joint probability distribution over the variables of the graph, which allows for efficient inference algorithms. PGMs are often used for modeling physical and biological systems, and such models are then in turn used to both answer probabilistic queries concerning the variables and to represent certain causal and/or statistica
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6

Benferhat Salem and Tabia Karim. "Three-valued possibilistic networks." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-098-7-157.

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Possibilistic networks are graphical models that compactly encode joint possibility distributions. This paper studies a new form of possibilistic graphical models called three-valued possibilistic networks. Contrary to standard belief networks where the beliefs are encoded using belief degrees within the interval [0, 1], three-valued possibilistic networks only allow three values: 0, 1 and 0, 1. The first part of this paper addresses foundational issues of three-valued possibilistic networks. In particular, we show that the semantics that can be associated with a three-valued possibilistic net
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7

Hakim, Alan J., and Rodney Grahame. "Hypermobility syndromes." In Oxford Textbook of Rheumatology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0159_update_003.

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Hypermobility-related syndromes constitute a family of heritable disorders of connective tissue (HDCT) that derive from abnormalities affecting genes that encode for the connective tissue matrix proteins such as collagen, fibrillin, and tenascin. They range from such commonplace though poorly recognized conditions such as the joint hypermobility syndrome (JHS) to the better-known, if rarer, eponymous syndromes such as the Marfan syndrome (MFS) and the different types of the Ehlers-Danlos syndrome (EDS). The more common presentations are with skin pathology (bruising, scaring), joint or spinal
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8

Hakim, Alan J., and Rodney Grahame. "Hypermobility syndromes." In Oxford Textbook of Rheumatology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0159_update_004.

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Hypermobility-related syndromes constitute a family of heritable disorders of connective tissue (HDCT) that derive from abnormalities affecting genes that encode for the connective tissue matrix proteins such as collagen, fibrillin, and tenascin. They range from such commonplace though poorly recognized conditions such as hypermobility spectrum disorder (HSD), formerly within the joint hypermobility syndrome (JHS), to the better-known, if rarer, eponymous syndromes such as the Marfan syndrome (MFS), Loeys–Dietz syndrome, and the different types of the Ehlers-Danlos syndrome (EDS). The more com
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9

Gao, Tianyu. "A Joint Extraction Method of Entity Relationship in Tourism Domain Based on Multi-Dimensional Features and Mixed Time Series." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230894.

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Aiming at the problems of entity nesting and relationship overlap in the process of tourism domain information extraction, a joint entity relationship extraction method based on multi-dimensional features and mixed time series was proposed. The relationship extraction model based on multi-dimensional features and mixed time series is constructed by coding layer, entity extraction layer and relationship extraction layer. In the coding layer, BiLSTM can better capture the bidirectional semantic dependence, and use the bidirectional long and short memory network to encode sentences in combination
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Actas de conferencias sobre el tema "Encodage joint"

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Yan, Eddie, and Yanping Huang. "Do CNNs Encode Data Augmentations?" In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9534219.

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Yadav, Nishant, Nicholas Monath, Rico Angell, and Andrew McCallum. "Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions." In Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.crac-1.11.

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Agarwal, Oshin, Funda Durupınar, Norman I. Badler, and Ani Nenkova. "Word Embeddings (Also) Encode Human Personality Stereotypes." In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/s19-1023.

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Zhou, Lei, Ning Wu, and Fen Ge. "A Joint-Coding Scheme With Crosstalk Avoidance." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48912.

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The reliable transfer in Network on Chip can be guaranteed by crosstalk avoidance and error detection code. In this paper, we propose a joint coding scheme combined with crosstalk avoidance coding with error control coding. The Fibonacci numeral system is applied to satisfy the requirement of crosstalk avoidance coding, and the error detection is achieved by adding parity bits. We also implement the codec in register transfer level. Furthermore, the schemes of codec applying to fault-tolerant router are analyzed. The experimental result shows that “once encode, multiple decode” scheme outperfo
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Mirus, Florian, Terrence C. Stewart, and Jorg Conradt. "Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207137.

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Li, Junyou, Gong Cheng, Qingxia Liu, et al. "Neural Entity Summarization with Joint Encoding and Weak Supervision." 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.2020/228.

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In a large-scale knowledge graph (KG), an entity is often described by a large number of triple-structured facts. Many applications require abridged versions of entity descriptions, called entity summaries. Existing solutions to entity summarization are mainly unsupervised. In this paper, we present a supervised approach NEST that is based on our novel neural model to jointly encode graph structure and text in KGs and generate high-quality diversified summaries. Since it is costly to obtain manually labeled summaries for training, our supervision is weak as we train with programmatically label
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Malmi, Eric, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, and Aliaksei Severyn. "Encode, Tag, Realize: High-Precision Text Editing." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1510.

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Yang, Zheng, Bing Han, Weiming Chen, and Xinbo Gao. "Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction." In 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023. http://dx.doi.org/10.1109/ijcnn54540.2023.10191508.

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Xia, Rui, Mengran Zhang, and Zixiang Ding. "RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/734.

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The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document. Techniques including rule-based methods, traditional machine learning methods and deep neural networks have been proposed to solve this task. However, most of the previous work considered ECE as a set of independent clause classification problems and ignored the relations between multiple clauses in a document. In this work, we propose a joint emotion cause extraction framework, named RNN-Transformer Hierarchical Network (RTHN), to encode and classify multiple cla
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Kuzelka, Ondrej, Jesse Davis, and Steven Schockaert. "Induction of Interpretable Possibilistic Logic Theories from Relational Data." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/160.

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The field of statistical relational learning (SRL) is concerned with learning probabilistic models from relational data. Learned SRL models are typically represented using some kind of weighted logical formulas, which makes them considerably more interpretable than those obtained by e.g. neural networks. In practice, however, these models are often still difficult to interpret correctly, as they can contain many formulas that interact in non-trivial ways and weights do not always have an intuitive meaning. To address this, we propose a new SRL method which uses possibilistic logic to encode re
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Informes sobre el tema "Encodage joint"

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Mawassi, Munir, and Valerian V. Dolja. Role of the viral AlkB homologs in RNA repair. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594396.bard.

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AlkB proteins that repair DNA via reversing methylation damage are conserved in a broad range of prokaryotes and eukaryotes including plants. Surprisingly, AlkB-domains were discovered in the genomes of numerous plant positive-strand RNA viruses, majority of which belong to the family Flexiviridae. The major goal of this research was to reveal the AlkB functions in the viral infection cycle using a range of complementary genetic and biochemical approaches. Our hypotheses was that AlkB is required for efficient replication and genetic stability of viral RNA genomes The major objectives of the r
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