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Relevant bibliographies by topics / Context Encoder

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Academic literature on the topic 'Context Encoder'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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Journal articles on the topic "Context Encoder"

1

Pinho, M. S., and W. A. Finamore. "Context-based LZW encoder." Electronics Letters 38, no. 20 (2002): 1172. http://dx.doi.org/10.1049/el:20020807.

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Alharbi, Majed, Ahmed Stohy, Mohammed Elhenawy, Mahmoud Masoud, and Hamiden El-Wahed Khalifa. "Solving Traveling Salesman Problem with Time Windows Using Hybrid Pointer Networks with Time Features." Sustainability 13, no. 22 (2021): 12906. http://dx.doi.org/10.3390/su132212906.

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This paper introduces a time efficient deep learning-based solution to the traveling salesman problem with time window (TSPTW). Our goal is to reduce the total tour length traveled by -*the agent without violating any time limitations. This will aid in decreasing the time required to supply any type of service, as well as lowering the emissions produced by automobiles, allowing our planet to recover from air pollution emissions. The proposed model is a variation of the pointer networks that has a better ability to encode the TSPTW problems. The model proposed in this paper is inspired from our

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Qian, Xiaoyan, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Lam, and Ngai Wong. "Context-Aware Transformer for 3D Point Cloud Automatic Annotation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (2023): 2082–90. http://dx.doi.org/10.1609/aaai.v37i2.25301.

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3D automatic annotation has received increased attention since manually annotating 3D point clouds is laborious. However, existing methods are usually complicated, e.g., pipelined training for 3D foreground/background segmentation, cylindrical object proposals, and point completion. Furthermore, they often overlook the inter-object feature correlation that is particularly informative to hard samples for 3D annotation. To this end, we propose a simple yet effective end-to-end Context-Aware Transformer (CAT) as an automated 3D-box labeler to generate precise 3D box annotations from 2D boxes, tra

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Han, Jialong, Aixin Sun, Haisong Zhang, Chenliang Li, and Shuming Shi. "CASE: Context-Aware Semantic Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7871–78. http://dx.doi.org/10.1609/aaai.v34i05.6293.

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In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit the context as the seed. CASE has many interesting applications such as query suggestion, computer-assisted writing, and word sense disambiguation, to name a few. Previous explorations, if any, only involve some similar tasks, and all require human annotations for evaluation. In this study, we demonstrate that annotations for this task can be harvested at scale from existing corpora, in a fully automatic manner. On

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Xing, Bowen, and Ivor W. Tsang. "Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis." Journal of Artificial Intelligence Research 74 (June 7, 2022): 627–59. http://dx.doi.org/10.1613/jair.1.13410.

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Aspect-based sentiment analysis (ABSA) aims to predict the sentiment expressed in a review with respect to a given aspect. The core of ABSA is to model the interaction between the context and given aspect to extract aspect-related information. In prior work, attention mechanisms and dependency graph networks are commonly adopted to capture the relations between the context and given aspect. And the weighted sum of context hidden states is used as the final representation fed to the classifier. However, the information related to the given aspect may be already discarded and adverse information

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Marafioti, Andres, Nathanael Perraudin, Nicki Holighaus, and Piotr Majdak. "A Context Encoder For Audio Inpainting." IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, no. 12 (2019): 2362–72. http://dx.doi.org/10.1109/taslp.2019.2947232.

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Xie, Wei, Haobo Jiang, Yun Zhu, Jianjun Qian, and Jin Xie. "NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 14 (2025): 14708–16. https://doi.org/10.1609/aaai.v39i14.33612.

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Learning discriminative state representations of agents, encompassing the spatial layout and temporal pose trajectory, is essential for effective navigation decisions. However, existing approaches often rely on simplistic plain networks for navigation information fusion, overlooking the complex long-range dependencies across spatio-temporal cues, which leads to suboptimal state perception and potential decision failures. In this paper, we introduce NaviFormer, an effective encoder-decoder navigation transformer, to aggregate discriminative spatio-temporal context information for object navigat

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Xu, Feng, Shengyi Jiang, Hao Yin, et al. "Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15937–38. http://dx.doi.org/10.1609/aaai.v35i18.17965.

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Meta-Reinforcement Learning (meta-RL) algorithms enable agents to adapt to new tasks from small amounts of exploration, based on the experience of similar tasks. Recent studies have pointed out that a good representation of a task is key to the success of off-policy context-based meta-RL. Inspired by contrastive methods in unsupervised representation learning, we propose a new method to learn the task representation based on the mutual information between transition tuples in a trajectory and the task embedding. We also propose a new estimation for task similarity based on Q-function, which ca

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Dakwale, Praveen, and Christof Monz. "Convolutional over Recurrent Encoder for Neural Machine Translation." Prague Bulletin of Mathematical Linguistics 108, no. 1 (2017): 37–48. http://dx.doi.org/10.1515/pralin-2017-0007.

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AbstractNeural machine translation is a recently proposed approach which has shown competitive results to traditional MT approaches. Standard neural MT is an end-to-end neural network where the source sentence is encoded by a recurrent neural network (RNN) called encoder and the target words are predicted using another RNN known as decoder. Recently, various models have been proposed which replace the RNN encoder with a convolutional neural network (CNN). In this paper, we propose to augment the standard RNN encoder in NMT with additional convolutional layers in order to capture wider context

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Yun, Hyeongu, Yongkeun Hwang, and Kyomin Jung. "Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9498–506. http://dx.doi.org/10.1609/aaai.v34i05.6494.

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Fully Attentional Networks (FAN) like Transformer (Vaswani et al. 2017) has shown superior results in Neural Machine Translation (NMT) tasks and has become a solid baseline for translation tasks. More recent studies also have reported experimental results that additional contextual sentences improve translation qualities of NMT models (Voita et al. 2018; Müller et al. 2018; Zhang et al. 2018). However, those studies have exploited multiple context sentences as a single long concatenated sentence, that may cause the models to suffer from inefficient computational complexities and long-range dep

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Dissertations / Theses on the topic "Context Encoder"

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Damecharla, Hima Bindu. "FPGA IMPLEMENTATION OF A PARALLEL EBCOT TIER-1 ENCODER THAT PRESERVES ENCODING EFFICIENCY." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1149703842.

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Leufvén, Johan. "Integration of user generated content with an IPTV middleware." Thesis, Linköping University, Linköping University, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55029.

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<p>IPTV is a growing form of distribution for TV and media. Reports show that the market will grow from the current 20-30 million subscribers to almost 100 million 2012. IPTV extends the traditional TV viewing with new services like renting movies from your TV. It could also be seen as a bridge between the traditional broadcast approach and the new on demand approach the users are used to from internet.</p><p>Since there are many actors in the IPTV market that all deliver the same basic functionality, companies must deliver better products that separate them from the competitors. This can be d

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May, Richard John. "Perceptual content loss in bit rate constrained IFS encoded speech." Thesis, University of Portsmouth, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396323.

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Hsu, William. "Using knowledge encoded in graphical disease models to support context-sensitive visualization of medical data." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1925776141&sid=13&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Anegekuh, Louis. "Video content-based QoE prediction for HEVC encoded videos delivered over IP networks." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3377.

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The recently released High Efficiency Video Coding (HEVC) standard, which halves the transmission bandwidth requirement of encoded video for almost the same quality when compared to H.264/AVC, and the availability of increased network bandwidth (e.g. from 2 Mbps for 3G networks to almost 100 Mbps for 4G/LTE) have led to the proliferation of video streaming services. Based on these major innovations, the prevalence and diversity of video application are set to increase over the coming years. However, the popularity and success of current and future video applications will depend on the perceive

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Sasko, Dominik. "Segmentace lézí roztroušené sklerózy pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442379.

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Hlavným zámerom tejto diplomovej práce bola automatická segmentácia lézií sklerózy multiplex na snímkoch MRI. V rámci práce boli otestované najnovšie metódy segmentácie s využitím hlbokých neurónových sietí a porovnané prístupy inicializácie váh sietí pomocou preneseného učenia (transfer learning) a samoriadeného učenia (self-supervised learning). Samotný problém automatickej segmentácie lézií sklerózy multiplex je veľmi náročný, a to primárne kvôli vysokej nevyváženosti datasetu (skeny mozgov zvyčajne obsahujú len malé množstvo poškodeného tkaniva). Ďalšou výzvou je manuálna anotácia týchto l

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和基, 塩谷, and Kazuki Shiotani. "Olfactory cortex ventral tenia tecta neurons encode the distinct context-dependent behavioral states of goal-directed behaviors." Thesis, 櫻井芳雄, 2003. http://id.nii.ac.jp/1707/00028191/.

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和基, 塩谷, and Kazuki Shiotani. "Olfactory cortex ventral tenia tecta neurons encode the distinct context-dependent behavioral states of goal-directed behaviors." Thesis, 櫻井芳雄, 2021. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13158521/?lang=0.

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Munoz, Joshua. "Application of Multifunctional Doppler LIDAR for Non-contact Track Speed, Distance, and Curvature Assessment." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/77876.

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The primary focus of this research is evaluation of feasibility, applicability, and accuracy of Doppler Light Detection And Ranging (LIDAR) sensors as non-contact means for measuring track speed, distance traveled, and curvature. Speed histories, currently measured with a rotary, wheel-mounted encoder, serve a number of useful purposes, one significant use involving derailment investigations. Distance calculation provides a spatial reference system for operators to locate track sections of interest. Railroad curves, using an IMU to measure curvature, are monitored to maintain track infrastr

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Sultana, Tania. "L'influence du contexte génomique sur la sélection du site d'intégration par les rétrotransposons humains L1." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4133.

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Les rétrotransposons L1 (Long INterspersed Element-1) sont des éléments génétiques mobiles dont l'activité contribue à la dynamique du génome humain par mutagenèse insertionnelle. Les conséquences génétiques et épigénétiques d'une nouvelle insertion, et la capacité d'un L1 à être remobilisé, sont directement liées au site d’intégration dans le génome. Aussi, l’analyse des sites d’intégration des L1s est capitale pour comprendre leur impact fonctionnel - voire pathogène -, en particulier lors de la tumorigenèse ou au cours du vieillissement, et l’évolution de notre génome. Dans ce but, nous avo

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Books on the topic "Context Encoder"

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M, Dooley Jackie, ed. Encoded Archival Description: Context, theory, and case studies. Society of American Archivists, 1998.

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May, Richard John. Perceptual content loss in bit rate constrained IFS encoded speech. University of Portsmouth, 2002.

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Whybrow, Ian. Encore! Père Castor Flammarion, 2005.

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Bill, Stockting, and Queyroux Fabienne, eds. Encoding across frontiers: Proceedings of the European Conference on Encoded Archival Description and Context (EAD and EAC), Paris, France, 1-8 October, 2004. Haworth Information Press, 2005.

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1954-, Blais Hélène, Peluso Maria, Feminist Literacy Workers' Network, and Réseau des travailleuses féministes en alphabétisation., eds. Staying connected : a chance to talk again =: Restons en contact : encore une chance de se parler. Femnist Literacy Worker's Network = Réseau des travailleuses féministes en alphabétisation, 1996.

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Dooley, Jackie M. Encoded Archival Description: Context, Theory, and Case Studies. Society of American Archivists, 1998.

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Mayle, Peter. Encore Provence Consumer Contest Display Kit. Alfred A. Knopf, 1999.

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Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists. Encoded Archival Context - Corporate Bodies, Persons, and Families Tag Library Version 2.0. Society of American Archivists, 2022.

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Lepore, Ernie, and Matthew Stone. Explicit Indirection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198738831.003.0007.

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Our goal in this chapter is to contest the traditional view of indirection in utterances such as, ‘Can you pass the salt?’ by developing a very different way of characterizing the interpretations involved. We argue that the felt “indirection” of such utterances reflects the kind of meaning the utterances have, rather than the way that meaning is derived. So understood, there is no presumption that indirect meanings involve the pragmatic derivation of enriched contents froma literal interpretation; rather, we argue that indirect meanings are explicitly encoded in grammar. We build on recent wor

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Stockting, Bill. Encoding Across Frontiers: Proceedings of the European Conference on Encoded Archival Description and Context , Pa. Taylor & Francis Group, 2012.

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Book chapters on the topic "Context Encoder"

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Keya, Mumenunnessa, Abu Kaisar Mohammad Masum, Sheikh Abujar, Sharmin Akter, and Syed Akhter Hossain. "Bengali Context–Question Similarity Using Universal Sentence Encoder." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4367-2_30.

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Yahagi, Ryota, Yuya Chiba, Takashi Nose, and Akinori Ito. "Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoder." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5538-9_9.

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Samsudin, Noufal, and Hani Ragab Hassen. "Transformer-Encoder Generated Context-Aware Embeddings for Spell Correction." In Artificial Neural Networks in Pattern Recognition. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20650-4_11.

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Tian, Xiaohua, Thinh M. Le, and Yong Lian. "Efficient Architecture for Context Modeling in the CABAC Encoder." In Entropy Coders of the H.264/AVC Standard. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14703-6_5.

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Thakur, Saket, and Jyoti Srivastava. "Context-Aware Encoder with Adaptive Tuning for Neural Machine Translation." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3381-4_47.

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Qiu, Hao, Zaiwang Gu, Lei Mou, et al. "The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection." In Ophthalmic Medical Image Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32956-3_13.

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Li, Na, Haoyu Zhang, Zhihui Hu, Guang Kou, and Huadong Dai. "Automated Software Vulnerability Detection via Pre-trained Context Encoder and Self Attention." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06365-7_15.

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Stagakis, Nikolaos, Evangelia I. Zacharaki, and Konstantinos Moustakas. "Hierarchical Image Inpainting by a Deep Context Encoder Exploiting Structural Similarity and Saliency Criteria." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34995-0_42.

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Haworth, Kent M. "Archival Description: Content and Context in Search of Structure." In Encoded Archival Description on the Internet. CRC Press, 2024. https://doi.org/10.1201/9781003573166-2.

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Wodzinski, Marek. "Benchmark of Deep Encoder-Decoder Architectures for Head and Neck Tumor Segmentation in Magnetic Resonance Images: Contribution to the HNTSMRG Challenge." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83274-1_15.

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Abstract Radiation therapy is one of the most frequently applied cancer treatments worldwide, especially in the context of head and neck cancer. Today, MRI-guided radiation therapy planning is becoming increasingly popular due to good soft tissue contrast, lack of radiation dose delivered to the patient, and the capability of performing functional imaging. However, MRI-guided radiation therapy requires segmenting of the cancer both before and during radiation therapy. So far, the segmentation was often performed manually by experienced radiologists, however, recent advances in deep learning-ba

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Conference papers on the topic "Context Encoder"

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Guo, Zhiyu, and Minh Le Nguyen. "Document-Level Neural Machine Translation Using BERT as Context Encoder." In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.aacl-srw.15.

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Wang, Xianjun, Wenzhan Li, and Herui Li. "A Context-Encoder-Based Thermal Anomaly Detection Network for Dual-Sensor Surveillance." In 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA). IEEE, 2024. http://dx.doi.org/10.1109/icmlca63499.2024.10754432.

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Ma, Peijun, Cong Yao, Jiangyi Shi, and Gongzhi Zhao. "A VLSI Architecture for MQ Arithmetic Encoder Supporting Three-Context Parallel Processing." In 2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP). IEEE, 2024. https://doi.org/10.1109/icvisp64524.2024.10959159.

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Noriega-Atala, Enrique, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, and Mihai Surdeanu. "When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.219.

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Wuyts, Brecht, Seppe Vanden Broucke, and Jochen De Weerdt. "SuTraN: an Encoder-Decoder Transformer for Full-Context-Aware Suffix Prediction of Business Processes." In 2024 6th International Conference on Process Mining (ICPM). IEEE, 2024. http://dx.doi.org/10.1109/icpm63005.2024.10680671.

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Chen, Huijuan, Bingquan Chen, Junyi Tan, and Bo Jing. "Research on the Qin bamboo slip character images inpainting algorithm based on the context encoder model." In Fourth International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2024), edited by Hoshang Kolivand and Ata Jahangir Moshayedi. SPIE, 2024. http://dx.doi.org/10.1117/12.3044958.

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Xu, Hongfei, Deyi Xiong, Josef van Genabith, and Qiuhui Liu. "Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating." 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.2020/544.

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Existing Neural Machine Translation (NMT) systems are generally trained on a large amount of sentence-level parallel data, and during prediction sentences are independently translated, ignoring cross-sentence contextual information. This leads to inconsistency between translated sentences. In order to address this issue, context-aware models have been proposed. However, document-level parallel data constitutes only a small part of the parallel data available, and many approaches build context-aware models based on a pre-trained frozen sentence-level translation model in a two-step training man

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Altay, Fatih, and Senem Velipasalar. "Image Completion with Discriminator Guided Context Encoder." In 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. http://dx.doi.org/10.1109/acssc.2018.8645434.

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Liao, Liang, Ruimin Hu, Jing Xiao, and Zhongyuan Wang. "Edge-Aware Context Encoder for Image Inpainting." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462549.

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Qu, Zhenshen, Shimeng Yu, and Mengyu Fu. "Motion background modeling based on context-encoder." In 2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR). IEEE, 2016. http://dx.doi.org/10.1109/icaipr.2016.7585207.

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Reports on the topic "Context Encoder"

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Faltstrom, P., D. Crocker, and E. Fair. MIME Content Type for BinHex Encoded Files. RFC Editor, 1994. http://dx.doi.org/10.17487/rfc1741.

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Ostersetzer-Biran, Oren, and Alice Barkan. Nuclear Encoded RNA Splicing Factors in Plant Mitochondria. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7592111.bard.

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Mitochondria are the site of respiration and numerous other metabolic processes required for plant growth and development. Increased demands for metabolic energy are observed during different stages in the plants life cycle, but are particularly ample during germination and reproductive organ development. These activities are dependent upon the tight regulation of the expression and accumulation of various organellar proteins. Plant mitochondria contain their own genomes (mtDNA), which encode for a small number of genes required in organellar genome expression and respiration. Yet, the vast ma

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Chen, Yongzhou, Ammar Tahir, and Radhika Mittal. Controlling Congestion via In-Network Content Adaptation. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-018.

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Realizing that it is inherently difficult to match precisely the sending rates at the endhost with the available capacity on dynamic cellular links, we built a system, Octopus, that sends real-time data streams over cellular networks using an imprecise controller (that errs on the side of overestimating network capacity) and then drops appropriate packets in the cellular-network buffers to match the actual capacity. We designed parameterized primitives for implementing the packet-dropping logic, which the applications at the endhost can configure differently to express various content-adaptati

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Huntzinger, Hervé, and Rémy Prud'homme. Descentralización y relaciones intergubernamentales en Uruguay. Inter-American Development Bank, 2001. http://dx.doi.org/10.18235/0010337.

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Cette publication discute les caractéristiques importantes pour l'analyse des problèmes de décentralisation et de relations intergouvernementales à l'Uruguay. La décentralisation et les relations entre niveau de gouvernement s'inscrivent dans un contexte institutionnel, qui doit d'abord être présenté. Elles s'inscrivent également dans un contexte spatial, géographique, que l'on peut encore appeler régional, qui intéresse à la fois leur finalité et leurs caractéristiques, et qui doit également être analysé.

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Dubcovsky, Jorge, Tzion Fahima, Ann Blechl, and Phillip San Miguel. Validation of a candidate gene for increased grain protein content in wheat. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7695857.bard.

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High Grain Protein Content (GPC) of wheat is important for improved nutritional value and industrial quality. However, selection for this trait is limited by our poor understanding of the genes involved in the accumulation of protein in the grain. A gene with a large effect on GPC was detected on the short arm of chromosome 6B in a Triticum turgidum ssp. dicoccoides accession from Israel (DIC, hereafter). During the previous BARD project we constructed a half-million clones Bacterial Artificial Chromosome (BAC) library of tetraploid wheat including the high GPC allele from DIC and mapped the G

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Naffi, Nadia, Viviane Vallerand, and Julie Goulet-Kennedy, eds. Bootcamp numérique et IA : entre flow et vertige – l’intelligence artificielle, une affaire humaine avant tout. Observatoire international sur les impacts sociétaux de l'IA et du numérique, 2025. https://doi.org/10.61737/ebic9685.

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Le Bootcamp Numérique et IA, une initiative de la Chaire de leadership en enseignement sur les pratiques pédagogiques innovantes en contexte numérique - Banque Nationale, a été soutenu en grande partie par le chantier stratégique de l’Université Laval Les Études tout au long de la vie pour répondre à l’orientation prioritaire Transformer nos pratiques en enseignement pour être encore plus agiles à l’ère numérique. Le Bootcamp numérique et IA 2025 de l’Université Laval s’est déroulé sur deux journées consécutives, les 13 et 14 février 2025, offrant un programme intensif destiné aux conseillers

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Mörch, Carl-Maria, Pascale Lehoux, Marc-Antoine Dilhac, Catherine Régis, and Xavier Dionne. Recommandations pratiques pour une utilisation responsable de l’intelligence artificielle en santé mentale en contexte de pandémie. Observatoire international sur les impacts sociétaux de l’intelligence artificielle et du numérique, 2020. http://dx.doi.org/10.61737/mqaf7428.

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La pandémie actuelle a provoqué une onde de choc dont les conséquences se font sentir dans tous les aspects de notre vie. Alors que la santé physique a été généralement au cœur de l’attention scientifique et politique, il est devenu clair que la pandémie de COVID-19 a influé significativement sur la santé mentale de nombreux individus. Plus encore, elle aurait accentué les fragilités déjà existantes dans nos systèmes de santé mentale. Souvent moins financé ou soutenu que la santé physique, le domaine de la santé mentale pourrait-il bénéficier d’innovations en intelligence artificielle en pério

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Occhiali, Giovanni, Giulia Mascagni, Wilson Prichard, and Martin Hearson. axer les riches dans les pays à faible revenu : Pourquoi est-ce important et comment le faire ? Institute of Development Studies, 2025. https://doi.org/10.19088/ictd.2025.024.

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De nos jours, l’augmentation des tensions internationales, la montée en flèche des niveaux d’endettement ou le changement climatique sont des crises mondiales qui touchent particulièrement les pays à faible revenu (PFR).1 Qu’elles soient issues de sources nationales ou de l’aide internationale, les finances des PFR n’augmentent pas suffisamment pour répondre à leurs besoins. Leurs exigences en matière de dépenses sont plus élevées que jamais ; l’amélioration des services, l’extension de la protection sociale ou encore le soutien à l’investissement alourdissent la facture. Dans ce contexte, le

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MacDonald, Robert. Dynamique transfrontalière entre le Burundi et la Tanzanie dans le contexte des épidémies de fièvre hémorragique virale, 2025. Institute of Development Studies, 2025. https://doi.org/10.19088/sshap.2025.014.

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Cette note résume les principales considérations relatives à la dynamique transfrontalière entre la République du Burundi et la République-Unie de Tanzanie dans le contexte des épidémies de fièvre hémorragique virale (FHV) en Tanzanie et en République d'Ouganda. Le 13 janvier 2025, l'Organisation mondiale de la santé a signalé un foyer suspect de maladie à virus de Marburg (MVM) dans la région de Kagera, au nord-ouest de la Tanzanie. Le 20 janvier 2025, le gouvernement tanzanien a officiellement déclaré l'existence d'un foyer. Au 26 février 2025, on dénombrait 10 décès dus à deux cas confirmés

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de Marcellis-Warin, Nathalie, and Ingrid Peignier. BAROMÈTRE DE LA CONFIANCE DES CONSOMMATEURS QUÉBÉCOIS À L’EGARD DES ALIMENTS -2e édition-. CIRANO, 2022. http://dx.doi.org/10.54932/jgoa6889.

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La Politique bioalimentaire du gouvernement du Québec place les attentes des consommateurs et leur santé au cœur des priorités pour les prochaines années. Offrir des produits répondants aux besoins des consommateurs figure parmi les principales orientations définies pour atteindre les ambitions et les cibles de cette politique. Dans ce contexte, le Baromètre de la confiance des consommateurs québécois à l’égard des aliments du CIRANO est un outil important et très utile à la prise de décisions pour les différentes directions du ministère de l’Agriculture, des Pêcheries et de l’Alimentation du

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