Suchergebnisse - learning-based coding

ElectrodeNet - A Deep Learning Based Sound Coding Strategy for Cochlear Implants von Huang, Enoch Hsin-Ho, Chao, Rong, Tsao, Yu, Wu, Chao-Min

“… ElectrodeNet, a deep learning based sound coding strategy for the cochlear implant (CI …”
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Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array von Xiao, Lei, Han, Yubing, Zhang, Shurui

“… Recently, a novel low‐cost coding digital receiving array based on machine learning (ML‐CDRA …”
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Deep learning based repetition coding for MIMO VLC systems: Deep learning based repetition coding for MIMO VLC systems von Salama, Wessam M., Aly, Moustafa H., Amer, Eman S.

“… Both homogeneous and heterogeneous non-Lambertian MIMO arrangements are examined. To assess the spatial convergence execution, a low-intricacy Redundancy Coding (RC …”
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Deep-Learning-Based Lossless Image Coding von Schiopu, Ionut, Munteanu, Adrian

“… This paper proposes a novel approach for lossless image compression. The proposed coding approach employs a deep-learning-based method to compute the prediction …”
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Machine Learning-Based Coding Unit Depth Decisions for Flexible Complexity Allocation in High Efficiency Video Coding von Yun Zhang, Kwong, Sam, Xu Wang, Hui Yuan, Zhaoqing Pan, Long Xu

“… In this paper, we propose a machine learning-based fast coding unit (CU) depth decision method for High Efficiency Video Coding (HEVC …”
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Supervised Learning Based on Temporal Coding in Spiking Neural Networks von Mostafa, Hesham

“… We show that in a feedforward spiking network that uses a temporal coding scheme where information is encoded in spike times instead of spike rates, the network input-output relation is differentiable almost everywhere …”
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Toward Semantic Communications: Deep Learning-Based Image Semantic Coding von Huang, Danlan, Gao, Feifei, Tao, Xiaoming, Du, Qiyuan, Lu, Jianhua

“… We propose an reinforcement learning based adaptive semantic coding (RL-ASC) approach that encodes images beyond pixel level …”
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RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet von Shahzad, Ali, Rashid, Haider, Amir, Kim, Hyung Seok

“… ). This paper proposes a learning-based RLNC framework called RS-RLNC that utilizes network and receiver feedback to optimally select between block-RLNC and sliding-RLNC to improve overall network performance …”
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Machine learning based video coding optimizations: A survey von Zhang, Yun, Kwong, Sam, Wang, Shiqi

“… Video coding by compressing videos into a much smaller size is one of the key solutions …”
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments von Essaid, Billel, Kheddar, Hamza, Batel, Noureddine, Chowdhury, Muhammad E. H.

“… Automatic speech recognition (ASR) and speech enhancement are essential tools in modern life, aiding not only in machine interaction but also in supporting …”
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Reinforcement learning based coding unit early termination algorithm for high efficiency video coding von Li, Na, Zhang, Yun, Zhu, Linwei, Luo, Wenhan, Kwong, Sam

“… •A CU early termination algorithm independent of depths is derived for whole CTU. In this paper, we propose a Reinforcement Learning (RL) based Coding Unit (CU …”
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Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem for JPEG Coding Standards von Guarda, Andre F. R., Rodrigues, Nuno M. M., Pereira, Fernando

“… Despite its novelty, learning-based coding for images and point clouds is already outperforming some of the best long-standing conventional codecs …”
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Improving Learning-Based Semantic Coding Efficiency for Image Transmission via Shared Semantic-Aware Codebook von Zhang, Hongwei, Tao, Meixia, Sun, Yaping, Letaief, Khaled B.

“… The trendy semantic coding framework, namely, learning-based joint source-channel coding (JSCC), lies on data-driven principles, with its efficacy depending on the employed neural networks …”
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Learning-Based Rate Control for Learning-Based Point Cloud Geometry Coding von Ruivo, Manuel, Guarda, Andre F. R., Pereira, Fernando

“… More recently, learning-based coding approaches started to be considered also for point cloud coding …”
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On the stability of point cloud machine learning based coding von Prazeres, Joao, Rodrigues, Rafael, Pereira, Manuela, Pinheiro, Antonio M. G.

“… This paper analyses the performance of two of the most well known deep learning-based point cloud coding solutions, considering the training conditions …”
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Reinforcement Learning Based Network Coding for Drone-Aided Secure Wireless Communications von Xiao, Liang, Li, Hongyan, Yu, Shi, Zhang, Yi, Wang, Li-Chun, Ma, Shaodan

“… In this paper, we present a reinforcement learning (RL) based random linear network coding scheme for drone-aided cellular systems to address eavesdropping …”
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Deep Reinforcement Learning-Based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks von Zhang, Lin, Tan, Junjie, Liang, Ying-Chang, Feng, Gang, Niyato, Dusit

“… ) and make it difficult for the PR to select a proper modulation and/or coding scheme (MCS). To deal with this issue, we exploit deep reinforcement learning …”
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An Overview of the JPEG AI Learning-Based Image Coding Standard von Esenlik, Semih, Wu, Yaojun, Zhang, Zhaobin, Wang, Ye-Kui, Zhang, Kai, Zhang, Li, Ascenso, Joao, Liu, Shan

“… JPEG AI is an emerging learning-based image coding standard developed by Joint Photographic Experts Group (JPEG …”
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Advanced Learning-Based Coding Tools for ECM: Intra Prediction and In-Loop Filtering von Zhao, Yanchen, Fu, Jiaye, Li, Zhaoyu, Wang, Qizhe, Huang, Zhimeng, Zhang, Jiaqi, Jia, Chuanmin, Ma, Siwei

“… Neural Network (NN)-based video coding technologies have emerged as a promising alternative to traditional methods, demonstrating significant advantages amidst the rapid advancements in video coding technology …”
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Learning based Coding for Medical Image Compression von Saudagar, Abdul Khader Jilani

“… The area of Image processing has emerged with different coding approaches, and applications which are ranging from fundamental image compression model to high quality applications …”
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