Multi-kernel Gaussian process latent variable regression model for high-dimensional sequential data modeling
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Support structure representation learning for sequential data clustering
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Data-stitching algorithm based on elasticity.
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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
Sign Up to like & getrecommendations! 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