Suchergebnisse - (coding OR decoding) (algorithm OR (algorithmics OR (algorithmssics OR Algorithmsssics)))

S2C: Learning Noise-Resistant Differences for Unsupervised Change Detection in Multimodal Remote Sensing Images von Ding, Lei, Zuo, Xibing, Hong, Danfeng, Guo, Haitao, Lu, Jun, Gong, Zhihui, Bruzzone, Lorenzo

Inhaltsangabe: “… regularization is defined to suppress insignificant changes, and an IoU-matching algorithm is developed to refine …”
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MaizeEar-SAM: Zero-Shot Maize Ear Phenotyping von Zaremehrjerdi, Hossein, Coffey, Lisa, Jubery, Talukder, Liu, Huyu, Turkus, Jon, Linders, Kyle, Schnable, James C., Schnable, Patrick S., Ganapathysubramanian, Baskar

Inhaltsangabe: “… individual kernels in RGB images of maize ears and apply a graph-based algorithm to calculate the number …”
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Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning von Yu, Yan, Zhou, Wengang, Yang, Yaodong, Lu, Wanxuan, Hou, Yingyan, Li, Houqiang

Inhaltsangabe: “… leveraging a non-gradient genetic algorithm to optimize these genotype policies. Unlike routing networks …”
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Length-Controlled Margin-Based Preference Optimization without Reference Model von Li, Gengxu, Xia, Tingyu, Chang, Yi, Wu, Yuan

Inhaltsangabe: “… Direct Preference Optimization (DPO) is a widely adopted offline algorithm for preference-based …”
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A New Framework for AGN Accretion and Jet Feedback in Numerical Simulations von Lü, Ying-He Celeste, Ricker, Paul M.

Inhaltsangabe: “… of applying the traditional Bondi formalism, we use a sink particle algorithm in which the accretion flux …”
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Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data von Guo, Siqi, Hong, Ilgee, Balmaseda, Vicente, Yu, Changlong, Qiu, Liang, Liu, Xin, Jiang, Haoming, Zhao, Tuo, Yang, Tianbao

Inhaltsangabe: “… of an answer among all possible outputs given an input; (ii) efficient algorithms to optimize …”
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LiDAR Registration with Visual Foundation Models von Vödisch, Niclas, Cioffi, Giovanni, Cannici, Marco, Burgard, Wolfram, Scaramuzza, Davide

Inhaltsangabe: “… registration algorithms, such as RANSAC or ICP, facilitates robust 6DoF alignment of LiDAR scans with 3D maps …”
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Node-to-node contact-friction problems using run-time parameter updates on a conventional force-deformation finite element von Rahman, Asifur, Mackie, Kevin R.

Inhaltsangabe: “… are updated based on contact detection, and eliminate the need for adding new source code to the finite …”
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Learning to Reduce Search Space for Generalizable Neural Routing Solver von Zhou, Changliang, Lin, Xi, Wang, Zhenkun, Zhang, Qingfu

Inhaltsangabe: “… reducing reliance on expert knowledge for algorithm design. However, scaling these methods to handle large …”
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Omnidirectional Multi-Object Tracking von Luo, Kai, Shi, Hao, Wu, Sheng, Teng, Fei, Duan, Mengfei, Huang, Chang, Wang, Yuhang, Wang, Kaiwei, Yang, Kailun

Inhaltsangabe: “… , most MOT algorithms are tailored for pinhole images with limited views, impairing their effectiveness …”
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Online Dense Point Tracking with Streaming Memory von Dong, Qiaole, Fu, Yanwei

Inhaltsangabe: “… appearance drifting without considering temporal consistency. Recent point tracking algorithms usually depend …”
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Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction von Zhang, Zongzheng, Li, Xinrun, Zou, Sizhe, Chi, Guoxuan, Li, Siqi, Qiu, Xuchong, Wang, Guoliang, Zheng, Guantian, Wang, Leichen, Zhao, Hang, Zhao, Hao

Inhaltsangabe: “… -slow neuro-symbolic lane topology extraction algorithm, named Chameleon, which alternates between a …”
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A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification von Büyüktaş, Barış, Sumbul, Gencer, Demir, Begüm

Inhaltsangabe: “… to state-of-the-art algorithms in the literature. The code of the proposed framework will be available …”
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ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning von Bickmann, Lucas, Plagwitz, Lucas, Büscher, Antonius, Eckardt, Lars, Varghese, Julian

Inhaltsangabe: “… learning model weights and intricate algorithmic steps for effective fine-tuning for own disease target …”
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Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't von Dang, Quy-Anh, Ngo, Chris

Inhaltsangabe: “… Optimization (GRPO) algorithm and curating a compact, high-quality mathematical reasoning dataset, we conducted …”
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Overview of Variable Rate Coding in JPEG AI von Jia, Panqi, Brand, Fabian, Yu, Dequan, Karabutov, Alexander, Alshina, Elena, Kaup, Andre

Inhaltsangabe: “… . This article presents an overview of the variable rate coding functionality in JPEG AI, which includes three …”
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Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow von Euclid Collaboration, Bhargava, S., Benoist, C., Gonzalez, A. H., Maturi, M., Melin, J. -B., Stanford, S. A., Munari, E., Vannier, M., Murray, C., Maurogordato, S., Biviano, A., Macias-Perez, J., Bartlett, J. G., Pacaud, F., Widmer, A., Meneghetti, M., Sartoris, B., Aguena, M., Alguero, G., Andreon, S., Bardelli, S., Baumont, L., Bolzonella, M., Cabanac, R., Cappi, A., Castignani, G., Combet, C., Comparat, J., Farrens, S., Ghaffari, Z., Giles, P. A., Giocoli, C., Girardi, M., Hatch, N. A., Ingoglia, L., Iovino, A., Mamon, G. A., Mei, S., Moscardini, L., Mourre, S., Odier, J., Pratt, G. W., Tarrío, P., Toni, G., Weller, J., Zucca, E., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baccigalupi, C., Baldi, M., Balestra, A., Battaglia, P., Bellagamba, F., Bonchi, A., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Castellano, M., Cavuoti, S., Chambers, K. C., Cimatti, A., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Cropper, M., Da Silva, A., Degaudenzi, H., De Lucia, G., Di Giorgio, A. M., Dolding, C., Dole, H., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Escoffier, S., Farina, M., Farinelli, R., Faustini, F., Ferriol, S., Finelli, F., Fosalba, P., Fotopoulou, S., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., George, K., Gillis, B., Gómez-Alvarez, P., Gracia-Carpio, J., Granett, B. R., Grazian, A., Grupp, F., Guzzo, L., Gwyn, S., Haugan, S. V. H., Hoar, J., Hoekstra, H., Holmes, W., Hormuth, F., Hornstrup, A., Hudelot, P., Ilić, S., Jahnke, K., Jhabvala, M., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kubik, B., Kuijken, K., Kümmel, M., Kunz, M., Kurki-Suonio, H., Boulc'h, Q. Le, Brun, A. M. C. Le, Mignant, D. Le, Liebing, P., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Mainetti, G., Maino, D., Maiorano, E., Mansutti, O., Marcin, S., Marggraf, O., Martinelli, M., Martinet, N., Marulli, F., Massey, R., Medinaceli, E., Melchior, M., Mellier, Y., Merlin, E., Meylan, G., Mora, A., Moresco, M., Nakajima, R., Neissner, C., Nichol, R. C., Niemi, S. -M., Nightingale, J. W., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sakr, Z., Sánchez, A. G., Sapone, D., Schewtschenko, J. A., Schneider, P., Schrabback, T., Secroun, A., Sefusatti, E., Seidel, G., Serrano, S., Simon, P., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Steinwagner, J., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toft, S., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valenziano, L., Valiviita, J., Vassallo, T., Kleijn, G. Verdoes, Veropalumbo, A., Wang, Y., Zacchei, A., Zamorani, G., Zerbi, F. M., Allevato, V., Ballardini, M., Bozzo, E., Burigana, C., Casenove, P., Di Ferdinando, D., Vigo, J. A. Escartin, Fabbian, G., Gabarra, L., Martín-Fleitas, J., Matthew, S., Mauri, N., Metcalf, R. B., Pezzotta, A., Pöntinen, M., Porciani, C., Risso, I., Scottez, V., Sereno, M., Tenti, M., Viel, M., Wiesmann, M., Akrami, Y., Andika, I. T., Anselmi, S., Archidiacono, M., Atrio-Barandela, F., Benson, K., Bergamini, P., Bertacca, D., Bethermin, M., Blanchard, A., Blot, L., Böhringer, H., Borgani, S., Brown, M. L., Bruton, S., Calabro, A., Quevedo, B. Camacho, Caro, F., Carvalho, C. S., Castro, T., Charles, Y., Cogato, F., Cooray, A. R., Costanzi, M., Cucciati, O., Davini, S., De Paolis, F., Desprez, G., Díaz-Sánchez, A., Diaz, J. J., Di Domizio, S., Diego, J. M., Dimauro, P., Duc, P. -A., Enia, A., Fang, Y., Ferrari, A. G., Ferreira, P. G., Finoguenov, A., Fontana, A., Franco, A., Ganga, K., García-Bellido, J., Gasparetto, T., Gaztanaga, E., Giacomini, F., Gianotti, F., Gozaliasl, G., Guidi, M., Gutierrez, C. M., Hall, A., Hartley, W. G., Hernández-Monteagudo, C., Hildebrandt, H., Hjorth, J., Kajava, J. J. E., Kang, Y., Kansal, V., Karagiannis, D., Kiiveri, K., Kirkpatrick, C. C., Kruk, S., Graet, J. Le, Legrand, L., Lembo, M., Lepori, F., Leroy, G., Lesci, G. F., Lesgourgues, J., Leuzzi, L., Liaudat, T. I., Liu, S. J., Loureiro, A., Maggio, G., Magliocchetti, M., Magnier, E. A., Mannucci, F., Maoli, R., Martins, C. J. A. P., Maurin, L., Migliaccio, M., Miluzio, M., Monaco, P., Montoro, A., Moretti, C., Morgante, G., Naidoo, K., Navarro-Alsina, A., Nesseris, S., Passalacqua, F., Paterson, K., Patrizii, L., Pisani, A., Potter, D., Quai, S., Radovich, M., Rocci, P. -F., Rosati, P., Sacquegna, S., Sahlén, M., Sanders, D. B., Sarpa, E., Schaye, J., Schneider, A., Schultheis, M., Sciotti, D., Sellentin, E., Smith, L. C., Tanidis, K., Testera, G., Teyssier, R., Tosi, S., Troja, A., Tucci, M., Valieri, C., Venhola, A., Vergani, D., Verza, G., Vielzeuf, P., Walton, N. A., Soubrie, E., Scott, D.

Inhaltsangabe: “… 1 (Q1) imaging data. We identify clusters using two algorithms (AMICO and PZWav) implemented …”
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Boosting MLLM Reasoning with Text-Debiased Hint-GRPO von Huang, Qihan, Dai, Weilong, Liu, Jinlong, He, Wanggui, Jiang, Hao, Song, Mingli, Chen, Jingyuan, Yao, Chang, Song, Jie

Inhaltsangabe: “… ). However, current MLLM's GRPO algorithms still struggle to handle challenging and complex multimodal …”
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Light Curve Modeling of Eclipsing Binary Systems with Delta Scuti Component von Dharmathilaka, J. A. D. M., Adassuriya, J., Jayaratne, K. P. S. C., Gutierrez, Jordi L.

Inhaltsangabe: “… -Devinney (WD) eclipsing binary modeling code. The analysis focuses on two $δ$ Scuti binary systems, KIC …”
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The Role of Magnetic Fields in the Formation of High-Mass Star-Forming Cores von Klos, Katerina Sophia, Bonnell, Ian A., Smith, Rowan J.

Inhaltsangabe: “… the 3-dimensional smoothed particle magnetohydrodynamics (SPMHD) code PHANTOM. We follow the collapse …”
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