13.3.8.11 Graph Clustering, Cilque Generation

Chapter Contents (Back)
Graph Clustering.

Rizzi, S.[Stefano],
Genetic operators for hierarchical graph clustering,
PRL(19), No. 14, December 1998, pp. 1293-1300. BibRef 9812

Bunke, H.,
Inexact Graph Matching for Structural Pattern Recognition,
PRL(1), No. 4, 1983, pp. 245-253. BibRef 8300

Günter, S.[Simon], Bunke, H.[Horst],
Self-organizing map for clustering in the graph domain,
PRL(23), No. 4, February 2002, pp. 405-417.
Elsevier DOI 0202
BibRef

Günter, S.[Simon], Bunke, H.[Horst],
Validation indices for graph clustering,
PRL(24), No. 8, May 2003, pp. 1107-1113.
WWW Link. 0304
BibRef

Zanghi, H.[Hugo], Ambroise, C.[Christophe], Miele, V.[Vincent],
Fast online graph clustering via Erdos-Renyi mixture,
PR(41), No. 12, December 2008, pp. 3592-3599.
WWW Link. 0810
EM algorithm; Graph clustering; Online BibRef

Zanghi, H.[Hugo], Volant, S.[Stevenn], Ambroise, C.[Christophe],
Clustering based on random graph model embedding vertex features,
PRL(31), No. 9, 1 July 2010, pp. 830-836.
Elsevier DOI 1004
Variational EM algoritm; Graph clustering; Vertex features BibRef

Rota Bulò, S.[Samuel], Pelillo, M.[Marcello],
A Game-Theoretic Approach to Hypergraph Clustering,
PAMI(35), No. 6, June 2013, pp. 1312-1327.
IEEE DOI 1305
Extract coherent groups using high-order (not pairwise) similarities. BibRef

Kontschieder, P.[Peter], Rota Bulo, S.[Samuel], Pelillo, M.[Marcello], Bischof, H.[Horst],
Structured Labels in Random Forests for Semantic Labelling and Object Detection,
PAMI(36), No. 10, October 2014, pp. 2104-2116.
IEEE DOI 1410
BibRef
Earlier: A2, A1, A3, A4:
Structured Local Predictors for image labelling,
CVPR12(3530-3537).
IEEE DOI 1208
BibRef
Earlier: A1, A2, A4, A3:
Structured class-labels in random forests for semantic image labelling,
ICCV11(2190-2197).
IEEE DOI 1201
Structural information in Random Forest framework. BibRef

Wu, J., Pan, S., Zhu, X., Cai, Z.,
Boosting for Multi-Graph Classification,
Cyber(45), No. 3, March 2015, pp. 430-443.
IEEE DOI 1502
Algorithm design and analysis BibRef

Pan, S., Wu, J., Zhu, X., Zhang, C.,
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification,
Cyber(45), No. 5, May 2015, pp. 940-954.
IEEE DOI 1505
Accuracy BibRef

Tahaei, M.S.[Maedeh S.], Hashemi, S.N.[Seyed Naser],
Graph Characterization by Counting Sink Star Subgraphs,
JMIV(57), No. 3, March 2017, pp. 439-454.
Springer DOI 1702
BibRef

Pelillo, M.[Marcello], Elezi, I.[Ismail], Fiorucci, M.[Marco],
Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition,
PRL(87), No. 1, 2017, pp. 4-11.
Elsevier DOI 1703
Graph-theoretic methods BibRef


Tan, M.[Mingkui], Shi, Q.[Qinfeng], van den Hengel, A.J.[Anton J.], Shen, C.H.[Chun-Hua], Gao, J.B.[Jun-Bin], Hu, F.Y.[Fu-Yuan], Zhang, Z.[Zhen],
Learning graph structure for multi-label image classification via clique generation,
CVPR15(4100-4109)
IEEE DOI 1510
BibRef

Donoser, M.[Michael],
Replicator Graph Clustering,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Embedding Clustering .


Last update:Sep 18, 2017 at 11:34:11