Metric graph reconstruction from noisy data

By Mridul Aanjaneya, Frédéric Chazal, Daniel Chen, Marc Glisse, Leonidas J. Guibas, Dmitriy Morozov. International Symposium on Computational Geometry, 2011

659 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/012127917d71609ae3048da72e42c970482d2835

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In Computational Theory and Mathematics

In Computer Vision and Pattern Recognition

Citations in the corpus

Asymptotic theory for density ridges (2014, methodology): “Metric graph reconstruction [Aanjaneya et al. (2012), Lecci, Rinaldo and Wasserman (2014)], a method based on computational geometry, is another method for modeling ridge structure in a point cloud. This method tends to work best when the data are highly concentrated along filamentary structures and”
Lifelong Learning CRF for Supervised Aspect Extraction (2017, background): “, 2014), topic modeling (Mei et al., 2007; Titov and McDonald, 2008; Li et al., 2010; Brody and Elhadad, 2010; Wang et al., 2010; Moghaddam and Ester, 2011; Mukherjee and Liu, 2012; Lin and He, 2009; Zhao et al., 2010; Jo and Oh, 2011; Fang and Huang, 2012; Wang et al., 2016), word alignment (Liu et”
Large Scale Sentiment Analysis on Twitter with Spark (2016, background): “Sentiment is defined as ”A thought, view, or attitude, especially one based mainly on emotion instead of reason”1 and describes someone’s mood or judge towards a specific entity.”
Weakly Supervised Joint Sentiment-Topic Detection from Text (2012, methodology): “document sentiments, we propose a joint sentiment-topic model [9] by adding an additional sentiment layer between the document and the topic layers.”
Semantic Sentiment Analysis of Twitter (2012, methodology): “The sentiment-topic features are extracted from tweets using the weakly-supervised joint sentiment-topic (JST) mode that we developed earlier [7].”
A Complete Characterization of the 1-Dimensional Intrinsic Cech Persistence Diagrams for Metric Graphs (2017, methodology): “edges or loops) glued together, as described in [1, 9].”
Automated Rule Selection for Aspect Extraction in Opinion Mining (2015, background): “Topic modeling often only gives some rough topics in a document corpus rather than precise aspects as a topical term does not necessarily mean an aspect [Lin and He, 2009; Lu et al., 2009; Zhao et al., 2010a; Jo and Oh, 2011; Fang and Huang, 2012].”
Analysis of user comments: An approach for software requirements evolution (2013, background): “To address the joint problem of discovering the topics in reviews and the sentiments toward those topics, recent work has applied a combination of topic modeling and sentiment analysis to reviews of electronic devices and restaurants [15] as well as movies [16].”