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09/14/2023
Structure-Preserving Transformers for Sequences of SPD Matrices
In recent years, Transformer-based auto-attention mechanisms have been s...
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07/24/2023
Maximal Independent Sets for Pooling in Graph Neural Networks
Convolutional Neural Networks (CNNs) have enabled major advances in imag...
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08/02/2022
Maximal Independent Vertex Set applied to Graph Pooling
Convolutional neural networks (CNN) have enabled major advances in image...
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11/29/2021
A new Sinkhorn algorithm with Deletion and Insertion operations
This technical report is devoted to the continuous estimation of an epsi...
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07/05/2019
Improved local search for graph edit distance
Graph Edit Distance (GED) measures the dissimilarity between two graphs ...
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06/29/2019
Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning
The graph edit distance (GED) is a flexible distance measure which is wi...
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06/26/2019
Generalized Median Graph via Iterative Alternate Minimizations
Computing a graph prototype may constitute a core element for clustering...
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05/20/2019
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks
In this paper, we propose a new hand gesture recognition method based on...
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04/29/2019
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
This paper proposes a new neural network based on SPD manifold learning ...
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06/15/2009
Combinatorial pyramids and discrete geometry for energy-minimizing segmentation
This paper defines the basis of a new hierarchical framework for segment...
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10/20/2008
Hierarchical Bag of Paths for Kernel Based Shape Classification
Graph kernels methods are based on an implicit embedding of graphs withi...
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12/12/2007
Hierarchy construction schemes within the Scale set framework
Segmentation algorithms based on an energy minimisation framework often ...
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01/24/2007
