Results 151 to 160 of about 18,574 (304)

A Method of Vector Quantizer Design for Large Images.

, 1996
Shinichiro Kamiya, Ryuji Hamabe
openalex   +2 more sources

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization [PDF]

Vage Egiazarian, Denis Kuznedelev, Anton Voronov, Ruslan Svirschevski, Michael Goin, Д. В. Павлов, Dan Alistarh, Dmitry Baranchuk   +7 more
openalex   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Designing flexible protein structures and sampling protein conformations with a unified model using vector quantization and diffusion. [PDF]

Natl Sci Rev
Liu Y, Chen L, Chen Q, Liu H.
europepmc   +1 more source

Multi‐Scale Transformer for Image Restoration

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi, Youwei Pan, Chun Zhao, Yuqing Liu, Shaobo Zhang, Heng Zhang, Yang Wen   +6 more
wiley   +1 more source

Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks. [PDF]

Adv Sci (Weinh)
Huang C, Shao J, Peng B, Guo Q, Li P, Sun J, Wang Y.   +6 more
europepmc   +1 more source

A Learning Vector Quantization Algorithm For Probabilistic Models

, 2015
Jaakko Hollmén, Volker Tresp, Olli Simula   +2 more
openalex   +1 more source

Klasifikasi berita menggunakan Metode Learning Vector Quantization [PDF]

, 2020
Nuzulul Huda
openalex  

Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev, Vikas Palakonda, Il‐Min Kim, Sunghwan Moon, Jae‐Mo Kang   +4 more
wiley   +1 more source