Search Results - coding (algorithm OR (Algorithmsssic OR (Algorithmsssic OR Algorithmsssic)))

X-Shooting ULLYSES: Massive stars at low metallicity. IV. Spectral analysis methods and exemplary results for O stars by Sander, A. A. C., Bouret, J. -C., Bernini-Peron, M., Puls, J., Backs, F., Berlanas, S. R., Bestenlehner, J. M., Brands, S. A., Herrero, A., Martins, F., Maryeva, O., Pauli, D., Ramachandran, V., Crowther, P. A., Gómez-González, V. M. A., Gormaz-Matamala, A. C., Hamann, W. -R., Hillier, D. J., Kuiper, R., Larkin, C. J. K., Lefever, R. R., Mehner, A., Najarro, F., Oskinova, L. M., Schösser, E. C., Shenar, T., Todt, H., ud-Doula, A., Vink, J. S.

Table of Contents: “… Sk -69 50, and LMC O9 star Sk -66 171), we employ different atmosphere codes (CMFGEN, Fastwind, PoWR…”
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reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis by Clasen, Kai Norman, Hackel, Leonard, Burgert, Tom, Sumbul, Gencer, Demir, Begüm, Markl, Volker

Table of Contents: “…. Furthermore, we introduce a new geographical-based split assignment algorithm that significantly reduces…”
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An activity transition in FRB 20201124A: methodological rigor, detection of frequency-dependent cessation, and a geometric magnetar model by Bilous, A. V., van Leeuwen, J., Maan, Y., Pastor-Marazuela, I., Oostrum, L. C., Rajwade, K. M., Wang, Y. Y.

Table of Contents: “… algorithms. Our investigations of fluence distributions next lead us to advise against formal power-law…”
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Nonrigid Reconstruction of Freehand Ultrasound without a Tracker by Li, Qi, Shen, Ziyi, Yang, Qianye, Barratt, Dean C., Clarkson, Matthew J., Vercauteren, Tom, Hu, Yipeng

Table of Contents: “… novel co-optimisation algorithm for simultaneously estimating rigid transformations among US frames…”
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Empirical mass-loss rates and clumping properties of O-type stars in the LMC by Hawcroft, C., Mahy, L., Sana, H., Sundqvist, J. O., Abdul-Masih, M., Brands, S. A., Decin, L., deKoter, A., Puls, J.

Table of Contents: “… atmosphere modelling code FASTWIND, and reproduce the observed spectra using a genetic algorithm based…”
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Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking by Ma, Zhiyuan, Jia, Guoli, Qi, Biqing, Zhou, Bowen

Table of Contents: “… Stable Diffusion framework (namely Safe-SD) to adaptively implant the graphical watermarks (e.g., QR code…”
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Image-text matching for large-scale book collections by Llabrés, Artemis, Dey, Arka Ujjal, Karatzas, Dimosthenis, Valveny, Ernest

Table of Contents: “… outperform a fuzzy string matching baseline, and we highlight inherent limitations of the matching algorithms…”
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Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network by Sun, Kailai, Wang, Xinwei, Liu, Shaobo, Zhao, Qianchuan, Huang, Gao, Liu, Chang

Table of Contents: “…. Existing state-of-the-art (SOTA) algorithms are tested and compared on the Cchead dataset. MDFN…”
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One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation by Claasen, Paul Johannes, de Villiers, Johan Pieter

Table of Contents: “…A novel online MOT algorithm, IMM Joint Homography State Estimation (IMM-JHSE), is proposed. IMM…”
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Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments by Etukuru, Haritheja, Naka, Norihito, Hu, Zijin, Lee, Seungjae, Mehu, Julian, Edsinger, Aaron, Paxton, Chris, Chintala, Soumith, Pinto, Lerrel, Shafiullah, Nur Muhammad Mahi

Table of Contents: “… training algorithm and policy class, guidance about data scaling, necessity for diverse yet high-quality…”
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PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images by Liu, Nanqing, Xu, Xun, Su, Yongyi, Zhang, Haojie, Li, Heng-Chao

Table of Contents: “… dataset and use the Hungarian algorithm to match them with prediction prototypes, preventing the model…”
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HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing by Islam, Md Tanvir, Rahim, Nasir, Anwar, Saeed, Saqib, Muhammad, Bakshi, Sambit, Muhammad, Khan

Table of Contents: “… diverse haze types, impeding effective haze type classification and dehazing algorithm selection…”
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TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models by Zhang, Quanjun, Shang, Ye, Fang, Chunrong, Gu, Siqi, Zhou, Jianyi, Chen, Zhenyu

Table of Contents: “…: syntactic correctness, compilation correctness, test correctness, code coverage rate, and defect detection…”
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FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification by Fu, Kexue, Luo, Xiaoyuan, Qu, Linhao, Wang, Shuo, Xiong, Ying, Maglogiannis, Ilias, Gao, Longxiang, Wang, Manning

Table of Contents: “… for the widespread adoption of deep learning-based Whole Slide Images (WSI) classification algorithms in clinical…”
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V2I-Calib++: A Multi-terminal Spatial Calibration Approach in Urban Intersections for Collaborative Perception by Qu, Qianxin, Zhang, Xinyu, Cheng, Yifan, Xiong, Yijin, Xia, Chen, Peng, Qian, Song, Ziqiang, Liu, Kang, Wu, Xin, Li, Jun

Table of Contents: “… global consistency search algorithms with optimal transport theory. By this means, we can extract co…”
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Identifying General Mechanism Shifts in Linear Causal Representations by Chen, Tianyu, Bello, Kevin, Locatello, Francesco, Aragam, Bryon, Ravikumar, Pradeep

Table of Contents: “… observed data. Our algorithm lends itself very naturally to the sample setting where instead of just…”
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You are out of context! by Cobino, Giancarlo, Farci, Simone

Table of Contents: “… algorithms, and parallelization for real-time and large-scale applications. The method's effectiveness…”
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SA3DIP: Segment Any 3D Instance with Potential 3D Priors by Yang, Xi, Gu, Xu, Yin, Xingyilang, Gao, Xinbo

Table of Contents: “… geometry. Besides, the heavy reliance on SAM and hand-crafted algorithms in 2D space suffers from over…”
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HOPE: An Automatically Differentiable High-Order Non-Oscillatory Finite-Volume Shallow-Water Dynamic Core by Zhou, Lilong

Table of Contents: “…: high order accuracy, essential non-oscillation, mass conservation, and scalability. Besides, the code…”
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YOLO-CCA: A Context-Based Approach for Traffic Sign Detection by Jiang, Linfeng, Zhan, Peidong, Bai, Ting, Yu, Haoyong

Table of Contents: “… algorithm for traffic sign detection, which utilizes YOLOv7 as the baseline model. Firstly, we propose…”
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