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41#
發(fā)表于 2025-3-28 17:58:26 | 只看該作者
https://doi.org/10.1007/978-3-476-05002-1ffer an explicit encoding of the orientation of edges around vertices. This paper describes the construction scheme of a Combinatorial Pyramid. We also provide a constructive definition of the notions of reduction windows and receptive fields within the Combinatorial Pyramid framework.
42#
發(fā)表于 2025-3-28 20:04:48 | 只看該作者
43#
發(fā)表于 2025-3-29 01:47:09 | 只看該作者
Construction of Combinatorial Pyramidsffer an explicit encoding of the orientation of edges around vertices. This paper describes the construction scheme of a Combinatorial Pyramid. We also provide a constructive definition of the notions of reduction windows and receptive fields within the Combinatorial Pyramid framework.
44#
發(fā)表于 2025-3-29 07:04:09 | 只看該作者
Graph Matching Using Spectral Seriation and String Edit Distanceh for edit cost is the negative logarithm of the a posteriori sequence alignment probability. To compute the string alignment probability we provide models of the edge compatibility error and the probability of individual node correspondences.
45#
發(fā)表于 2025-3-29 09:41:36 | 只看該作者
46#
發(fā)表于 2025-3-29 11:37:26 | 只看該作者
Tree Edit Distance from Information Theory node in the archetype the probability that the node is present in a sample. A minimum descriptor length formulation is then used to estimate the structure and parameters of this tree model as well as the node-correspondences between trees in the sample-set and the tree model.
47#
發(fā)表于 2025-3-29 18:37:29 | 只看該作者
48#
發(fā)表于 2025-3-29 22:07:47 | 只看該作者
Orthonormal Kernel Kronecker Product Graph Mdatching KPGM formulation which avoided explicit compatibility calculations, the OKKPGM algorithm obtains an estimate to the Kronecker Match Matrix (KMM) using kernel function evaluations. A permutation sub-matrix (match matrix), is then inferred from the KMM using a summation procedure.
49#
發(fā)表于 2025-3-30 01:16:53 | 只看該作者
Comparison of Distance Measures for Graph-Based Clustering of Documents is evaluated using five different graph distance measures under three clustering performance indices. The experiments are performed on two separate document collections. The results show the graph-based approach performs as well as vector-based methods or even better when using normalized graph distance measures.
50#
發(fā)表于 2025-3-30 07:53:21 | 只看該作者
Some Experiments on Clustering a Set of Stringsntly used in well known statistical estimation and particularly with the minimum volume ellipsoid estimator. This concept is illustrated on several examples and particularly in clustering a set of shapes coded as strings using the Freeman code.
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