Résultats de la recherche - coding (algorithmics OR (algorithmics OR (algorithm OR Algorithmsssssics)))

Iterative Neural Rollback Chase-Pyndiah Decoding par Artemasov, Dmitry, Nesterenkov, Oleg, Andreev, Kirill, Rybin, Pavel, Frolov, Alexey

Table des matières: “…, where error-correcting codes such as turbo product codes (TPC) and staircase codes are widely employed…”
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Advances in List Decoding of Polynomial Codes par Kumar, Mrinal, Ron-Zewi, Noga

Table des matières: “…Error-correcting codes are a method for representing data, so that one can recover the original…”
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Tuned Compositional Feature Replays for Efficient Stream Learning par Talbot, Morgan B., Zawar, Rushikesh, Badkundri, Rohil, Zhang, Mengmi, Kreiman, Gabriel

Table des matières: “… new continual learning algorithm, Compositional Replay Using Memory Blocks (CRUMB), which mitigates…”
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Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI par Bosma, Joeran S., Saha, Anindo, Hosseinzadeh, Matin, Slootweg, Ilse, de Rooij, Maarten, Huisman, Henkjan

Table des matières: “… the feasibility of our training procedure. Source code is publicly available at github.com/DIAGNijmegen/Report…”
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Almost Ramanujan Expanders from Arbitrary Expanders via Operator Amplification par Jeronimo, Fernando Granha, Mittal, Tushant, Roy, Sourya, Wigderson, Avi

Table des matières: “…We give an efficient algorithm that transforms any bounded degree expander graph into another…”
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Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey par Ghosh, Aritra, Urry, C. Megan, Mishra, Aayush, Perreault-Levasseur, Laurence, Natarajan, Priyamvada, Sanders, David B., Nagai, Daisuke, Tian, Chuan, Cappelluti, Nico, Kartaltepe, Jeyhan S., Powell, Meredith C., Rau, Amrit, Treister, Ezequiel

Table des matières: “… learning algorithms to future large imaging surveys, such as the Rubin-Legacy Survey of Space and Time…”
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Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes par Ratnarajah, Anton, Manocha, Dinesh

Table des matières: “… effects generated using an interactive geometric sound propagation algorithm and captured real acoustic…”
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Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering par Xi, Lin, Chen, Weihai, Wu, Xingming, Liu, Zhong, Li, Zhengguo

Table des matières: “…. In this work, a novel contrastive motion clustering algorithm with an optical flow as its input is proposed…”
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Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network par Mondal, Joyanta Jyoti, Islam, Md. Farhadul, Islam, Raima, Rhidi, Nowsin Kabir, Newaz, Sarfaraz, Manab, Meem Arafat, Islam, A. B. M. Alim Al, Noor, Jannatun

Table des matières: “… on PM2.5 concentration data obtained from the local US consulate, calculated using the NowCast algorithm…”
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TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes par Cao, Xiaoyan, Zheng, Yiyao, Yao, Yao, Qin, Huapeng, Cao, Xiaoyu, Guo, Shihui

Table des matières: “…Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing…”
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Gradual Domain Adaptation: Theory and Algorithms par He, Yifei, Wang, Haoxiang, Li, Bo, Zhao, Han

Table des matières: “…. In this work, we first theoretically analyze gradual self-training, a popular GDA algorithm, and provide a…”
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Acoustics-based Active Control of Unsteady Flow Dynamics using Reinforcement Learning Driven Synthetic Jets par Rout, Siddharth, Phan, Khai, Lin, Chao-An

Table des matières: “… in bluff-body flows. The codes for the algorithm can be found here: https://github.com/Siddharth-Rout…”
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Minuet: Accelerating 3D Sparse Convolutions on GPUs par Yang, Jiacheng, Giannoula, Christina, Wu, Jun, Elhoushi, Mostafa, Gleeson, James, Pekhimenko, Gennady

Table des matières: “… in the Map step with a novel segmented sorting double-traversed binary search algorithm that highly utilizes…”
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SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning par Luo, Jianlan, Hu, Zheyuan, Xu, Charles, Tan, You Liang, Berg, Jacob, Sharma, Archit, Schaal, Stefan, Finn, Chelsea, Gupta, Abhishek, Levine, Sergey

Table des matières: “… details of these algorithms are often just as important (if not more so) for performance as the choice…”
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Median and Small Parsimony Problems on RNA trees par Marchand, Bertrand, Anselmetti, Yoann, Lafond, Manuel, Ouangraoua, Aïda

Table des matières: “…Motivation: Non-coding RNAs (ncRNAs) express their functions by adopting molecular structures…”
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Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching par Uvaydov, Daniel, Zhang, Milin, Robinson, Clifton Paul, D'Oro, Salvatore, Melodia, Tommaso, Restuccia, Francesco

Table des matières: “… computer vision algorithm, we add non-local blocks to combine the spatial features of signals, and thus…”
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AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability par Yang, Siwei, Zhao, Bingchen, Xie, Cihang

Table des matières: “… of large language models (LLMs) in algorithmic contexts, such as depth-first search (DFS). The key feature…”
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Insights into mobile health application market via a content analysis of marketplace data with machine learning par Aydin, Gokhan, Silahtaroglu, Gokhan

Table des matières: “… app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial…”
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MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task par Li, Yanjie, Liu, Jingyi, Li, Weijun, Yu, Lina, Wu, Min, Li, Wenqiang, Hao, Meilan, Wei, Su, Deng, Yusong

Table des matières: “…, and Genetic Programming (GP) and Reinforcement Learning algorithms were used to solve it. However, GP…”
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Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off par Madhabhavi, Bhavani A, Karevvanavar, Gangadhar, Bhat, Rajshekhar V, Pappas, Nikolaos

Table des matières: “… or equal to that of the Markov chain-based algorithm for the same $\bar{c}$. The improved performance comes…”
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