Spatial Structured Prediction Models: Applications, Challenges, and Techniques
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2975584
Abstract: Spatial structure patterns are prevalent in many real-world data and applications. For example, in biochemistry, the geometric topology of a molecular surface indicates protein functions; in hydrology, irregular geographic terrains and topography on the Earth’s… read more here.
Keywords: topology; prediction models; model; prediction ... See more keywords
A Hidden Markov Contour Tree Model for Spatial Structured Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3002887
Abstract: Spatial structured models are predictive models that capture dependency structure between samples based on their locations in the space. Learning such models plays an important role in many geoscience applications such as water surface mapping,… read more here.
Keywords: markov contour; hidden markov; dependency structure; spatial structured ... See more keywords