Classifying natural-language spatial relation terms with random forest algorithm
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2016.1212356
Abstract: ABSTRACT The exponential growth of natural language text data in social media has contributed a rich data source for geographic information. However, incorporating such data source for GIS analysis faces tremendous challenges as existing GIS… read more here.
Keywords: natural language; topology; nlsr terms; language spatial ... See more keywords
Temporal-Spatial-Relation Former for Multi-Person Motion Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3582624
Abstract: Multi-person motion detection remains a challenging problem due to the highly complex spatiotemporal dynamics it involves. Effective motion forecasting requires capturing both the internal joint movement patterns of individuals and the interactions among multiple individuals.… read more here.
Keywords: person motion; multi person; person; spatial relation ... See more keywords
Robust and Hierarchical Spatial Relation Analysis for Traffic Forecasting
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DOI: 10.1109/tits.2022.3217054
Abstract: How to model the complex spatial-temporal relation in traffic data is an important problem for precisely predicting the future status of a city traffic system. Existing traffic forecasting methods rarely consider the traffic state trend,… read more here.
Keywords: spatial relation; traffic forecasting; traffic; robust hierarchical ... See more keywords
Spatial relation learning in complementary scenarios with deep neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.844753
Abstract: A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts, it needs to learn relations… read more here.
Keywords: spatial relation; relation learning; scenarios deep; learning complementary ... See more keywords
Spatial Relation Awareness Module for Phase Unwrapping
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DOI: 10.3390/photonics11020175
Abstract: Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π,π]. Various methods have been proposed for phase unwrapping. In particular, methods using convolutional neural networks (CNNs)… read more here.
Keywords: phase unwrapping; spatial relation; relation awareness; awareness module ... See more keywords