Risultati della ricerca - decoding (algorithmssics OR (algorithm OR (algorithm OR algorithm)))

  1. 1161

    A Universal Systematic Method to Generate Error Patterns on Memoryless Channels di Jalaleddine, Marwan, Li, Jiajie, Abbas, Syed Mohsin, Gross, Warren J.

    Pubblicazione 2026
    Sommario: “...The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has...”
    Testo
    Preprint
  2. 1162

    Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions di Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun

    Pubblicazione 2023
    Sommario: “..., encoder-decoder architectures, graph neural networks, and metaheuristic algorithms. Our review concludes...”
    Testo
    Preprint
  3. 1163

    Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior di Shi, Chuanji, Zhang, Yingying, Wang, Jiaotuan, Guo, Xin, Zhu, Qiqi

    Pubblicazione 2024
    Sommario: “... that segments road networks at various levels, our approach diverges from semantic segmentation algorithms...”
    Testo
    Preprint
  4. 1164

    Parameter-Efficient Instance-Adaptive Neural Video Compression di Yang, Hyunmo, Oh, Seungjun, Park, Eunbyung

    Pubblicazione 2024
    Sommario: “... the encoder or decoder networks for a particular test instance video. However, fine-tuning all the model...”
    Testo
    Preprint
  5. 1165

    Anatomical Region Recognition and Real-time Bone Tracking Methods by Dynamically Decoding A-Mode Ultrasound Signals di Lan, Bangyu, Stramigioli, Stefano, Niu, Kenan

    Pubblicazione 2024
    Sommario: “... inability to directly measure joint angles requires complex algorithms for kinematic estimation. To address...”
    Testo
    Preprint
  6. 1166
  7. 1167

    Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning di Zhang, Wenjun, Wu, Qiong, Fan, Pingyi, Wang, Kezhi, Cheng, Nan, Chen, Wen, Letaief, Khaled B.

    Pubblicazione 2024
    Sommario: “... in platoon systems, in which the DeepSC model and MU-DeepSC model are used to semantically encode and decode...”
    Testo
    Preprint
  8. 1168

    Variable-size Symmetry-based Graph Fourier Transforms for image compression di Gnutti, Alessandro, Guerrini, Fabrizio, Leonardi, Riccardo, Ortega, Antonio

    Pubblicazione 2024
    Sommario: “...Modern compression systems use linear transformations in their encoding and decoding processes...”
    Testo
    Preprint
  9. 1169

    Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs di Silvestre, Pedro F., Pietzuch, Peter

    Pubblicazione 2025
    Sommario: “...Deep learning (DL) algorithms are often defined in terms of temporal relationships: a tensor at one...”
    Testo
    Preprint
  10. 1170

    Deep Learning-based OTFS Channel Estimation and Symbol Detection with Plug-and-Play Framework di Zhang, Xiaoqi, Ni, Zhitong, Yuan, Weijie, Zhang, J. Andrew, Quek, Tony Q. S.

    Pubblicazione 2025
    Sommario: “... channel estimation accuracy and increases the complexity of symbol detection. Traditional algorithms...”
    Testo
    Preprint
  11. 1171

    FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization di Wang, Aotao, Shao, Haikuo, Ma, Shaobo, Wang, Zhongfeng

    Pubblicazione 2025
    Sommario: “..., this paper presents FastMamba, a dedicated accelerator on FPGA with hardware-algorithm co-design to promote...”
    Testo
    Preprint
  12. 1172

    Ordered Leaf Attachment (OLA) Vectors can Identify Reticulation Events even in Multifurcated Trees di Markin, Alexey, Anderson, Tavis K.

    Pubblicazione 2025
    Sommario: “... leaf. Both encoding and decoding of trees run in linear time and depend on a fixed ordering...”
    Testo
    Preprint
  13. 1173

    Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders di Jiang, Junqi, Leofante, Francesco, Rago, Antonio, Toni, Francesca

    Pubblicazione 2025
    Sommario: “... by algorithmic decisions. A key challenge is generating CEs that are robust against various perturbation types...”
    Testo
    Preprint
  14. 1174
  15. 1175

    Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization di Long, Luo, Cartis, Coralia, Shustin, Paz Fink

    Pubblicazione 2025
    Sommario: “... on deep metric loss for structured latent manifolds and VAE retraining to adapt the encoder-decoder...”
    Testo
    Preprint
  16. 1176

    GCFX: Generative Counterfactual Explanations for Deep Graph Models at the Model Level di Hu, Jinlong, Liu, Jiacheng

    Pubblicazione 2026
    Sommario: “... by leveraging an enhanced deep graph generation framework and a global summarization algorithm. GCFX features...”
    Testo
    Preprint
  17. 1177

    Competitive Non-Clairvoyant KV-Cache Scheduling for LLM Inference di Feng, Yiding, Yang, Zonghan, Zhang, Yuhao

    Pubblicazione 2026
    Sommario: “... (KV) cache, where a job's memory footprint grows linearly with the number of decoded tokens...”
    Testo
    Preprint
  18. 1178

    Dynamic Delayed Tree Expansion For Improved Multi-Path Speculative Decoding di Thomas, Rahul, Kitanovski, Teo, Goldblum, Micah, Pal, Arka

    Pubblicazione 2026
    Sommario: “...Multi-path speculative decoding accelerates lossless sampling from a target model by using a...”
    Testo
    Preprint
  19. 1179

    Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration di Zhong, Shuzhang, Huang, Haochen, Qiu, Shengxuan, Zuo, Pengfei, Wang, Runsheng, Li, Meng

    Pubblicazione 2026
    Sommario: “... it across diverse ToT algorithms and LLMs. Extensive experiments show that SPEX achieves $1.2 \sim 3 \times...”
    Testo
    Preprint
  20. 1180

    Enhancing Grayscale and Color Image Security: A Hybrid Encryption Method Utilizing 3D Henon Map and 3D Arnold Cat Map di RN Ramakant Parida, Binod Kumar Singh, Chittaranjan Pradhan

    Pubblicazione 2026
    Sommario: “... for image encryption by combining two chaotic map algorithms, which presented in this work. The two...”
    Testo
    Artículo Open Access