Multimedia big data analytics: A survey

S Pouyanfar, Y Yang, SC Chen, ML Shyu… - ACM computing surveys …, 2018 - dl.acm.org
With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an …

E Coronado, T Kiyokawa, GAG Ricardez… - Journal of Manufacturing …, 2022 - Elsevier
Industry 5.0 constitutes a change of paradigm where the increase of economic benefits
caused by a never-ending increment of production is no longer the only priority. Instead …

Overview and comparative study of dimensionality reduction techniques for high dimensional data

S Ayesha, MK Hanif, R Talib - Information Fusion, 2020 - Elsevier
The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Beyond frame-level CNN: saliency-aware 3-D CNN with LSTM for video action recognition

X Wang, L Gao, J Song, H Shen - IEEE signal processing …, 2016 - ieeexplore.ieee.org
Human activity recognition in videos with convolutional neural network (CNN) features has
received increasing attention in multimedia understanding. Taking videos as a sequence of …

Relational autoencoder for feature extraction

Q Meng, D Catchpoole, D Skillicom… - 2017 International joint …, 2017 - ieeexplore.ieee.org
Feature extraction becomes increasingly important as data grows high dimensional.
Autoencoder as a neural network based feature extraction method achieves great success …

[HTML][HTML] Machine learning models for predicting physical properties in asphalt road construction: A systematic review

J Leukel, L Scheurer, V Sugumaran - Construction and Building Materials, 2024 - Elsevier
Prediction models using machine learning assume an important role in supporting decisions
in asphalt road construction, such as the scheduling of tasks and the control of compaction …

Unsupervised visual hashing with semantic assistant for content-based image retrieval

L Zhu, J Shen, L Xie, Z Cheng - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
As an emerging technology to support scalable content-based image retrieval (CBIR),
hashing has recently received great attention and became a very active research domain. In …

A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems

K Kontolati, D Loukrezis, DG Giovanis… - Journal of …, 2022 - Elsevier
Constructing surrogate models for uncertainty quantification (UQ) on complex partial
differential equations (PDEs) having inherently high-dimensional O (10 n), n≥ 2, stochastic …

Imbalanced source-free domain adaptation

X Li, J Li, L Zhu, G Wang, Z Huang - Proceedings of the 29th ACM …, 2021 - dl.acm.org
Conventional Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a
well-labeled source domain to an unlabeled target domain only when data from both …

Unsupervised topic hypergraph hashing for efficient mobile image retrieval

L Zhu, J Shen, L Xie, Z Cheng - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Hashing compresses high-dimensional features into compact binary codes. It is one of the
promising techniques to support efficient mobile image retrieval, due to its low data …