Multimedia big data analytics: A survey
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 …
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 …
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 …
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
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 …
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
Human activity recognition in videos with convolutional neural network (CNN) features has
received increasing attention in multimedia understanding. Taking videos as a sequence of …
received increasing attention in multimedia understanding. Taking videos as a sequence of …
Relational autoencoder for feature extraction
Feature extraction becomes increasingly important as data grows high dimensional.
Autoencoder as a neural network based feature extraction method achieves great success …
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
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 …
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
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 …
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
Constructing surrogate models for uncertainty quantification (UQ) on complex partial
differential equations (PDEs) having inherently high-dimensional O (10 n), n≥ 2, stochastic …
differential equations (PDEs) having inherently high-dimensional O (10 n), n≥ 2, stochastic …
Imbalanced source-free domain adaptation
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 …
well-labeled source domain to an unlabeled target domain only when data from both …
Unsupervised topic hypergraph hashing for efficient mobile image retrieval
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 …
promising techniques to support efficient mobile image retrieval, due to its low data …