An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification
Granular Computing is a powerful information processing paradigm for synthesizing advanced pattern recognition systems in non-conventional domains. In this article, a novel procedure for the automatic synthesis of suitable information granules is proposed. The procedure leverages a joint sensitivity...
Main Authors: | Alessio Martino, Antonello Rizzi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9328762/ |
Similar Items
-
Fuzzy Multilevel Graph Embedding for Recognition, Indexing and Retrieval of Graphic Document Images
by: Muhammad Muzzamil Luqman
Published: (2014-06-01) -
Representing Graphs as Bag of Vertices and Partitions for Graph Classification
by: Mansurul Bhuiyan, et al.
Published: (2018-06-01) -
Extraction et reconnaissance de primitives dans les façades de Paris à l'aide d'appariement de graphes
by: Haugeard, Jean-emmanuel
Published: (2010) -
(Hyper)Graph Embedding and Classification via Simplicial Complexes
by: Alessio Martino, et al.
Published: (2019-10-01) -
Vector Space Embedding of Graphs via Statistics of Labelling Information
by: Gibert Domingo, Jaume
Published: (2012)