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   Articles with "sequential data" as a keyword



Multi-kernel Gaussian process latent variable regression model for high-dimensional sequential data modeling

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.07.082

Abstract: Abstract Modeling sequential data has been a hot research field for decades. One of the most challenge problems in this field is modeling real-world high-dimensional sequential data with limited training samples. This is mainly due… read more here.

Keywords: high dimensional; sequential data; model; gaussian process ... See more keywords

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.11.066

Abstract: Recurrent Neural Networks (RNN) are a type of statistical model designed to handle sequential data. The model reads a sequence one symbol at a time. Each symbol is processed based on information collected from the… read more here.

Keywords: machine learning; recurrent weighted; sequential data; weighted average ... See more keywords
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Support structure representation learning for sequential data clustering

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recommendations! Published in 2022 at "Pattern Recognition"

DOI: 10.1016/j.patcog.2021.108326

Abstract: Abstract Sequential data clustering is a challenging task in data mining (e.g., motion recognition and video segmentation). For good performance in dealing with complex local correlation and high-dimensional structure of sequential data, representation based methods… read more here.

Keywords: sequential data; structure representation; subspace clustering; data clustering ... See more keywords

Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3226029

Abstract: Automatic pseudo-labeling is a powerful tool to tap into large amounts of sequential unlabeled data. It is especially appealing in safety-critical applications of autonomous driving, where performance requirements are extreme, datasets are large, and manual… read more here.

Keywords: sequential data; pseudo labeling; teachers concordance; concordance pseudo ... See more keywords

New graphical models for sequential data and the improved state estimations by data-conditioned driving noises

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recommendations! Published in 2024 at "EURASIP Journal on Advances in Signal Processing"

DOI: 10.1186/s13634-024-01145-z

Abstract: A prevalent problem in statistical signal processing, applied statistics, and time series analysis arises from the attempt to identify the hidden state of Markov process based on a set of available noisy observations. In the… read more here.

Keywords: data improved; models sequential; new graphical; sequential data ... See more keywords

Data-stitching algorithm based on elasticity.

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recommendations! Published in 2022 at "Applied optics"

DOI: 10.1364/ao.466327

Abstract: Data-stitching algorithms are widely used to combine multiple sequential data or extend the working area of measurement systems. However, stitched data by the least squares method have inconsistency at the intersections due to their measurement… read more here.

Keywords: sequential data; stitching algorithm; algorithm based; based elasticity ... See more keywords

Sequential Data Fusion Techniques for the Authentication of the P.G.I. Senise (“Crusco”) Bell Pepper

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recommendations! Published in 2021 at "Applied Sciences"

DOI: 10.3390/app11041709

Abstract: Bell pepper is the common name of the berry obtained from some varieties of the Capsicum annuum species. This agro-food is appreciated all over the world and represents one of the key ingredients of several… read more here.

Keywords: data fusion; senise bell; bell pepper; sequential data ... See more keywords

InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data

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recommendations! Published in 2025 at "Entropy"

DOI: 10.3390/e27040357

Abstract: Despite the widespread use of information measures in analyzing probabilistic systems, effective visualization tools for understanding complex dependencies in sequential data are scarce. In this work, we introduce the information matrix (InfoMat), a novel and… read more here.

Keywords: information; infomat; information theory; sequential data ... See more keywords