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   Articles with "sequence processing" as a keyword



Sequence processing with quantum-inspired tensor networks

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84295-2

Abstract: We introduce efficient tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression. Inductive bias is introduced via network architecture as motivated by correlation and compositional structure in… read more here.

Keywords: quantum; quantum inspired; tensor; sequence processing ... See more keywords

SPDE: A Multi-functional Software for Sequence Processing and Data Extraction.

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recommendations! Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab235

Abstract: SUMMARY Sequence Processing and Data Extraction (SPDE) has eight modules comprising 100 basic functions ranging from sequence extraction, format conversion to data reorganization and mining, and all of these functions can be completed by point-and-click… read more here.

Keywords: extraction; data extraction; sequence; processing data ... See more keywords

A Neurologically Inspired Sequence Processing Model for Mobile Robot Place Recognition

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recommendations! Published in 2019 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2019.2927096

Abstract: Visual place recognition is the problem of camera-based localization of a robot given a database of images of known places, potentially under severe appearance changes (e.g., different weather or illumination). Typically, the current query images… read more here.

Keywords: sequence processing; mobile robot; place recognition; place ... See more keywords

Weird-Net: Weighted Relative Distance Attention for Efficient and Robust Sequence Processing

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recommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2024.3513912

Abstract: Sequence processing is a fundamental research area in artificial intelligence (AI) that encompasses various tasks and applications. Existing models—such as recurrent neural networks (RNNs) and transformers—have drawbacks such as slow computation, high complexity, and overfitting.… read more here.

Keywords: weighted relative; relative distance; weird net; sequence processing ... See more keywords