000 | 04485nam a22006735i 4500 | ||
---|---|---|---|
001 | 978-3-031-42795-4 | ||
003 | DE-He213 | ||
005 | 20240730181600.0 | ||
007 | cr nn 008mamaa | ||
008 | 230823s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031427954 _9978-3-031-42795-4 |
||
024 | 7 |
_a10.1007/978-3-031-42795-4 _2doi |
|
050 | 4 | _aQ337.5 | |
050 | 4 | _aTK7882.P3 | |
072 | 7 |
_aUYQP _2bicssc |
|
072 | 7 |
_aCOM016000 _2bisacsh |
|
072 | 7 |
_aUYQP _2thema |
|
082 | 0 | 4 |
_a006.4 _223 |
245 | 1 | 0 |
_aGraph-Based Representations in Pattern Recognition _h[electronic resource] : _b13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6-8, 2023, Proceedings / _cedited by Mario Vento, Pasquale Foggia, Donatello Conte, Vincenzo Carletti. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
|
300 |
_aXVI, 184 p. 33 illus., 27 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14121 |
|
505 | 0 | _aGraph Kernels and Graph Algorithms -- Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification -- Minimum Spanning Set Selection in Graph Kernels -- Graph-based vs. Vector-based Classification: A Fair Comparison -- A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs -- Efficient Entropy-based Graph Kernel -- Graph Neural Networks -- GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network -- C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling -- Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression -- Graph Normalizing Flows to Pre-image Free Machine Learning for Regression -- Matching-Graphs for Building Classification Ensembles -- Maximal Independent Sets for Pooling in Graph Neural Networks -- Graph-based Representations and Applications -- Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks -- Cell segmentation of in situ transcriptomics data using signed graph partitioning -- Graph-based representation for multi-image super-resolution -- Reducing the Computational Complexity of the Eccentricity Transform -- Graph-Based Deep Learning on the Swiss River Network. | |
520 | _aThis book constitutes the refereed proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections on graph kernels and graph algorithms; graph neural networks; and graph-based representations and applications. | ||
650 | 0 |
_aPattern recognition systems. _93953 |
|
650 | 0 |
_aComputer science _xMathematics. _93866 |
|
650 | 0 |
_aDiscrete mathematics. _912873 |
|
650 | 0 |
_aComputer graphics. _94088 |
|
650 | 0 |
_aAlgorithms. _93390 |
|
650 | 0 |
_aArtificial intelligence _xData processing. _921787 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aDiscrete Mathematics in Computer Science. _931837 |
650 | 2 | 4 |
_aComputer Graphics. _94088 |
650 | 2 | 4 |
_aAlgorithms. _93390 |
650 | 2 | 4 |
_aData Science. _934092 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aVento, Mario. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9125408 |
|
700 | 1 |
_aFoggia, Pasquale. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9125409 |
|
700 | 1 |
_aConte, Donatello. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9125410 |
|
700 | 1 |
_aCarletti, Vincenzo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9125411 |
|
710 | 2 |
_aSpringerLink (Online service) _9125412 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031427947 |
776 | 0 | 8 |
_iPrinted edition: _z9783031427961 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14121 _923263 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-42795-4 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cELN | ||
999 |
_c90969 _d90969 |