Výsledky vyhledávání - Loss-conditional autoencoder*

Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders.

Autoři: Sebai, D. Shah, A. Ulah

Zdroj: Signal, Image & Video Processing; Feb2023, Vol. 17 Issue 1, p285-293, 9p

A Novel Conditional Adversarial Domain Adaptation Network for EEG Cross-Subject Emotion Recognition.

Autoři: Huang, He Si, Xiaopeng Han, Yumeng a další

Zdroj: IEEE Transactions on Affective Computing; Oct-Dec2025, Vol. 16 Issue 4, p2905-2917, 13p

MRI Boundary-Aware Segmentation of Multiple Sclerosis Lesions Using a Novel Mahalanobis Distance Map.

Autoři: Ulloa-Poblete, Gustavo Veloz, Alejandro Sánchez, Sebastián a další

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10629, 20p

Témata: MAGNETIC resonance imaging, MULTIPLE sclerosis, SURFACE texture, THRESHOLDING algorithms, DEEP learning

End-to-End Variable-Rate Learning-Based Depth Compression Guided by Deep Correlation Features.

Autoři: Sebai, Dorsaf Sehli, Maryem Ghorbel, Faouzi

Zdroj: Journal of Signal Processing Systems for Signal, Image & Video Technology; Jan2024, Vol. 96 Issue 1, p81-97, 17p

Survey on Tabular Data Privacy and Synthetic Data Generation in Industry 4.0.

Autoři: Koubeissy, Hadi Amine, Amir Kamradt, Marc a další

Zdroj: Applied Intelligence; Aug2025, Vol. 55 Issue 13, p1-27, 27p

Divergence Parametric Smoothing in Image Compression Algorithms.

Autoři: Gashnikov, M. V.

Zdroj: Optical Memory & Neural Networks; Jun2024, Vol. 33 Issue 2, p97-101, 5p

Discriminative fault diagnosis transfer learning network under joint mechanism.

Autoři: Yang, Yuxuan Jing, Jiarui Zhang, Jian a další

Zdroj: Scientific Reports; 3/14/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: FAULT diagnosis, DIAGNOSIS, CLASSIFICATION, CORALS

Generative AI model privacy: a survey.

Autoři: Liu, Yihao Huang, Jinhe Li, Yanjie a další

Zdroj: Artificial Intelligence Review; Jan2025, Vol. 58 Issue 1, p1-47, 47p

Prediction of Potato Rot Level by Using Electronic Nose Based on Data Augmentation and Channel Attention Conditional Convolutional Neural Networks.

Autoři: Mai, Jiayu Lin, Haonan Hong, Xuezhen a další

Zdroj: Chemosensors; Dec2024, Vol. 12 Issue 12, p275, 24p

Témata: MACHINE learning, GENERATIVE adversarial networks, ELECTRONIC noses, ELECTRONIC systems, DATA augmentation, DEEP learning, POTATOES

Production quality prediction of cross-specification products using dynamic deep transfer learning network.

Autoři: Wang, Pei Wang, Tao Yang, Sheng a další

Zdroj: Journal of Intelligent Manufacturing; Aug2024, Vol. 35 Issue 6, p2567-2592, 26p

Témata: TECHNICAL specifications, DATA distribution, PREDICTION models, FORECASTING, NEW product development, DEEP learning, SUPERVISED learning

Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets.

Autoři: Groth, Andreas Chavez, Erik

Zdroj: Climate Dynamics; Jun2024, Vol. 62 Issue 6, p5259-5282, 24p

Témata: EL Nino, SOUTHERN oscillation, ATMOSPHERIC models, LA Nina, INDEX numbers (Economics), PROBABILISTIC generative models

Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network.

Autoři: Wu, Rouhui Ren, Yizhu Tan, Mengying a další

Zdroj: Building Simulation; Mar2024, Vol. 17 Issue 3, p371-386, 16p

Stratified learning: A general‐purpose statistical method for improved learning under covariate shift.

Autoři: Autenrieth, Maximilian van Dyk, David A. Trotta, Roberto a další

Zdroj: Statistical Analysis & Data Mining; Feb2024, Vol. 17 Issue 1, p1-16, 16p

Témata: STATISTICAL learning, SUPERVISED learning, ASTRONOMICAL surveys, CAUSAL inference, GALACTIC redshift

Korporace: SLOAN Digital Sky Survey

Enhancement of Few-shot Image Classification Using Eigenimages.

Autoři: Ko, Jonghyun Chung, Wonzoo

Zdroj: International Journal of Control, Automation & Systems; Dec2023, Vol. 21 Issue 12, p4088-4097, 10p

Image synthesis: a review of methods, datasets, evaluation metrics, and future outlook.

Autoři: Baraheem, Samah Saeed Le, Trung-Nghia Nguyen, Tam V.

Zdroj: Artificial Intelligence Review; Oct2023, Vol. 56 Issue 10, p10813-10865, 53p

Témata: COMPUTER vision, VISUAL fields, GENERATIVE adversarial networks, ECOLOGICAL assessment, SCIENTIFIC community

Learning multiscale pipeline gated fusion for underwater image enhancement.

Autoři: Liu, Xu Lin, Sen Tao, Zhiyong

Zdroj: Multimedia Tools & Applications; Sep2023, Vol. 82 Issue 21, p32281-32304, 24p

Témata: IMAGE intensifiers, IMAGE fusion, MULTIMEDIA systems, CHROMATICITY, FEATURE extraction, CELL fusion

A Novel Cluster Matching-Based Improved Kernel Fisher Criterion for Image Classification in Unsupervised Domain Adaptation.

Autoři: Khan, Siraj Asim, Muhammad Chelloug, Samia Allaoua a další

Zdroj: Symmetry (20738994); Jun2023, Vol. 15 Issue 6, p1163, 18p

Témata: IMAGE recognition (Computer vision), K-means clustering, IMAGE analysis, MACHINE learning, CLUSTER sampling

Online Power System Event Detection via Bidirectional Generative Adversarial Networks.

Autoři: Cheng, Yuanbin Yu, Nanpeng Foggo, Brandon a další

Zdroj: IEEE Transactions on Power Systems; Nov2022, Vol. 37 Issue 6, p4807-4818, 12p

Témata: GENERATIVE adversarial networks, MACHINE learning, DEEP learning, SUPERVISED learning, PHASOR measurement, ENTROPY

People: KAFKA, Franz, 1883-1924

Learning Sequence Representations by Non-local Recurrent Neural Memory.

Autoři: Pei, Wenjie Feng, Xin Fu, Canmiao a další

Zdroj: International Journal of Computer Vision; Oct2022, Vol. 130 Issue 10, p2532-2552, 21p

Témata: SUPERVISED learning, RECURRENT neural networks, MEMORY, ARTIFICIAL neural networks

Overview of Text-to-Image Generation Methods Based on Deep Learning. (English)

Autoři: WANG Yuhao HE Yu WANG Zhu

Zdroj: Journal of Computer Engineering & Applications; 5/15/2022, Vol. 58 Issue 10, p50-67, 18p

Témata: DEEP learning, CONVOLUTIONAL neural networks, NATURAL languages