Results 261 to 270 of about 142,675 (313)
Some of the next articles are maybe not open access.

Computer Vision Aided Codebook Design for MIMO Communications Systems

IEEE Transactions on Wireless Communications, 2023
mmWave communications systems usually rely on analog or hybrid analog/digital architectures and thus need a predefined codebook to perform beamforming.
Jiawei Chen   +5 more
semanticscholar   +1 more source

Deep Reinforcement Learning Based Beamforming Codebook Design for RIS-aided mmWave Systems

Consumer Communications and Networking Conference, 2023
Reconfigurable intelligent surfaces (RISs) are envisioned to play a pivotal role in future wireless systems with the capability of enhancing propagation environments by intelligently reflecting the signals toward the target receivers.
Asmaa R. Abdallah   +3 more
semanticscholar   +1 more source

Revisiting Multi-Codebook Quantization

IEEE Transactions on Image Processing, 2023
Multi-Codebook Quantization (MCQ) is a generalized version of existing codebook-based quantizations for Approximate Nearest Neighbor (ANN) search. Specifically, MCQ picks one codeword for each sub-codebook independently and takes the sum of picked codewords to approximate the original vector.
Xiaosu Zhu   +4 more
openaire   +2 more sources

PsyCorona Codebook

2020
As part of the PsyCorona initiative (https://psycorona.org/) we provide here the survey codebook as well as translations into 30 languages. The Pdf folder contains Pdfs of each wave in English. The excel sheet contains the translations into 30 languages.
Vázquez, Alexandra   +99 more
openaire   +1 more source

UniCodec: Unified Audio Codec with Single Domain-Adaptive Codebook

Annual Meeting of the Association for Computational Linguistics
The emergence of audio language models is empowered by neural audio codecs, which establish critical mappings between continuous waveforms and discrete tokens compatible with language model paradigms.
Yidi Jiang   +8 more
semanticscholar   +1 more source

Smartphone Inertial Sensors for Human Locomotion Activity Recognition based on Template Matching and Codebook Generation

ComTech, 2021
In the recent past, recognition of human locomotion activities has become a growing research area. Health monitoring, detection of a crowd’s behavior and indoor-localization are some examples of the fields that benefit from the diversity of this research
Usman Azmat, Ahmad Jalal
semanticscholar   +1 more source

Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks

IEEE Transactions on Image Processing, 2015
The bag-of-visual-words model plays a very important role for visual applications. Local features are first extracted and then encoded to get the histogram-based image representation. To encode local features, a proper codebook is needed. Usually, the codebook has to be generated for each data set which means the codebook is data set dependent. Besides,
Zhang, Chunjie   +5 more
openaire   +3 more sources

Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%

Neural Information Processing Systems
In the realm of image quantization exemplified by VQGAN, the process encodes images into discrete tokens drawn from a codebook with a predefined size.
Lei Zhu   +3 more
semanticscholar   +1 more source

Dual Codebook Design for Intelligent Omni-Surface Aided Communications

IEEE Transactions on Wireless Communications, 2022
Recently, the intelligent omni-surface (IOS) has been proposed as a novel instance of metasurface to achieve full-dimensional communications by jointly engineering its reflective and refractive properties.
Yutong Zhang   +5 more
semanticscholar   +1 more source

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval

European Conference on Computer Vision
Most existing Low-light Image Enhancement (LLIE) methods either directly map Low-Light (LL) to Normal-Light (NL) images or use semantic or illumination maps as guides.
Han Zhou   +6 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy