Risultati della ricerca - decoding (algorithm OR (algorithmics OR Algorithmssics))

Bayesian Recursive Information Optical Imaging: A Ghost Imaging Scheme Based on Bayesian Filtering di Du, Long-Kun, Hu, Chenyu, Liu, Shuang, Deng, Chenjin, Wang, Chaoran, Bo, Zunwang, Chen, Mingliang, Liu, Wei-Tao, Han, Shensheng

Sommario: “... in an encoded form and subsequently decoded via processing algorithms, which is quite in line...”
Testo

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth di Kögler, Kevin, Shevchenko, Alexander, Hassani, Hamed, Mondelli, Marco

Sommario: “.... Namely, the performance of the algorithm is the same as if it was compressing a Gaussian source...”
Testo

Trainable Joint Channel Estimation, Detection and Decoding for MIMO URLLC Systems di Sun, Yi, Shen, Hong, Li, Bingqing, Xu, Wei, Zhu, Pengcheng, Hu, Nan, Zhao, Chunming

Sommario: “..., and decoding (JCDD) for MIMO URLLC systems encoded by short low-density parity-check (LDPC) codes. Specifically...”
Testo

Cross-Scan Mamba with Masked Training for Robust Spectral Imaging di Tian, Wenzhe, Zeng, Haijin, Zhao, Yin-Ping, Chen, Yongyong, Wang, Zhen, Li, Xuelong

Sommario: “...Snapshot Compressive Imaging (SCI) enables fast spectral imaging but requires effective decoding...”
Testo

First Order Stochastic Optimization with Oblivious Noise di Diakonikolas, Ilias, Karmalkar, Sushrut, Park, Jongho, Tzamos, Christos

Sommario: “... of inliers $α$ is less than $1/2$. Our main result is an efficient list-decodable learner that recovers a...”
Testo

Online Optimization for Learning to Communicate over Time-Correlated Channels di Wu, Zheshun, Li, Junfan, Xu, Zenglin, Sun, Sumei, Liu, Jie

Sommario: “... on two specific tasks: optimizing channel decoders for time-correlated fading channels and selecting...”
Testo

Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens di Chen, Bolin, Yin, Shanzhi, Zhang, Zihan, Chen, Jie, Liao, Ru-Ling, Zhu, Lingyu, Wang, Shiqi, Ye, Yan

Sommario: “... communication. However, these GFVC algorithms are sometimes faced with unstable reconstruction quality...”
Testo

Enhancing LMMSE Performance with Modest Complexity Increase via Neural Network Equalizers di Rozenfeld, Vadim, Raphaeli, Dan, Bialer, Oded

Sommario: “...The BCJR algorithm is renowned for its optimal equalization, minimizing bit error rate (BER) over...”
Testo

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention di Yuan, Jingyang, Gao, Huazuo, Dai, Damai, Luo, Junyu, Zhao, Liang, Zhang, Zhengyan, Xie, Zhenda, Wei, Y. X., Wang, Lean, Xiao, Zhiping, Wang, Yuqing, Ruan, Chong, Zhang, Ming, Liang, Wenfeng, Zeng, Wangding

Sommario: “... NSA, a Natively trainable Sparse Attention mechanism that integrates algorithmic innovations...”
Testo

SPEX: Scaling Feature Interaction Explanations for LLMs di Kang, Justin Singh, Butler, Landon, Agarwal, Abhineet, Erginbas, Yigit Efe, Pedarsani, Ramtin, Ramchandran, Kannan, Yu, Bin

Sommario: “... channel decoding algorithm to efficiently identify important interactions. We perform experiments across...”
Testo

SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning di Qiu, Luyi, Till, Tristan, Guo, Xiaobao, Kong, Adams Wai-Kin

Sommario: “... Learning framework that leverages novel algorithms and the Med-SAM foundation model to enhance information...”
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ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability di Sun, Jianwen, Feng, Yukang, Li, Chuanhao, Zhang, Fanrui, Li, Zizhen, Ai, Jiaxin, Zhou, Sizhuo, Dai, Yu, Zhang, Shenglin, Zhang, Kaipeng

Sommario: “... encoder-decoder architecture with a forward-switching mechanism is introduced to unify embedding space...”
Testo

SWIPT in Cell-Free Massive MIMO Using Stacked Intelligent Metasurfaces di Hua, Thien Duc, Mohammadi, Mohammadali, Ngo, Hien Quoc, Matthaiou, Michail

Sommario: “...-decoding receivers (IRs) and the average sum of harvested energy (sum-HE) at the energy-harvesting...”
Testo

StainPIDR: A Pathological Image Decouplingand Reconstruction Method for Stain Normalization Based on Color Vector Quantization and Structure Restaining di Chen, Zheng

Sommario: “... color features, and decoding the stained structure features to normalized pathological images. We assume...”
Testo

GRACE: Designing Generative Face Video Codec via Agile Hardware-Centric Workflow di Wan, Rui, Zheng, Qi, Zhang, Ruoyu, Chen, Bu, Liu, Jiaming, Li, Min, Jing, Minge, Zhou, Jinjia, Fan, Yibo

Sommario: “... compression. However, deploying its intricate decoder on resource and power-constrained edge devices presents...”
Testo

Differentiable Filtering for Learning Hidden Markov Models di Chen, Reginald Zhiyan, Chang, Heng-Sheng, Mehta, Prashant G.

Sommario: “... their parameters from observations remains challenging. Classical methods like the Baum-Welch algorithm...”
Testo

Structure Theorems (and Fast Algorithms) for List Recovery of Subspace-Design Codes di Goyal, Rohan, Guruswami, Venkatesan

Sommario: “... that is also polynomial in $1/ε$. In contrast to such limitations, we show, extending algorithmic advances...”
Testo

In-situ benchmarking of fault-tolerant quantum circuits. I. Clifford circuits di Xiao, Xiao, Hangleiter, Dominik, Bluvstein, Dolev, Lukin, Mikhail D., Gullans, Michael J.

Sommario: “...Benchmarking physical devices and verifying logical algorithms are important tasks for scalable...”
Testo

Accelerating De Novo Genome Assembly via Quantum-Assisted Graph Optimization with Bitstring Recovery di Pamidimukkala, Jaya Vasavi, Sahu, Himanshu, Kannan, Ashwini, Ananthanarayanan, Janani, Dasgupta, Kalyan, Senapati, Sanjib

Sommario: “...Genome sequencing is essential to decode genetic information, identify organisms, understand...”
Testo

Quantized Precoding for Maximizing Sum Rate in MU-MIMO Systems with Constrained Fronthaul di Khorsandmanesh, Yasaman, Kosasih, Alva, Björnson, Emil, Jaldén, Joakim

Sommario: “... is reformulated as an integer least-squares problem and solved using a novel sphere decoding (SD) algorithm...”
Testo