13.3.2 General Structure and Graph Representation and Matching

Winston, P.H.,
Learning Structural Descriptions from Examples,
PsychCV75(157-209). Chapter 5. BibRef 7500
And: Ph.D.Thesis (EE), BibRef MAC-TR-76, September, 1970. BibRef
And: MIT AI-TR-231, 1970.
WWW Version. Learning. Matching network descriptions. Winston built on the work of Guzman( See also Computer Recognition of Three-Dimensional Objects in a Visual Scene. ) by using recognized blocks-world objects in a learning system. Three-dimensional structures are represented using semantic networks with elementary objects as a node and relations or descriptions given by the arcs. Object descriptions are learned by giving the system well selected examples that cause specializations or generalizations of the description. This work avoids the very real problem of extracting these descriptions from images, but provides a good introduction to the issues of high level computer vision. BibRef

Winston, P.H.,
Scene Understanding Systems,
FPR72(569-574), 1972. BibRef 7200

Winston, P.H.,
Learning and Reasoning by Analogy,
CACM(23), No. 12, December 1980, pp. 689-703. BibRef 8012
Earlier: MIT AI Memo-520, April 1979. BibRef

Winston, P.H.,
Learning New Principles from Precedents and Exercises,
AI(19), No. 3, November 1982, pp. 321-350.
WWW Version. Continuing learning, less on vision. BibRef 8211

Winston, P.H., Binford, T.O., Katz, B., and Lowry, M.,
Learning Physical Descriptions from Functional Definitions, Examples, and Precedents,
RR-IS84(xx). BibRef 8400
Earlier:
Learning Physical Descriptions from Functional Descriptions,
AAAI-83(433-439). BibRef

Evans, T.G.,
A Heuristic Program to Solve Geometry-Analogy Problems,
SJCC1964, AFIPS, Vol. 25, pp. 5-16. BibRef 6400
And: RCV87(444-455). Analogy. Graph descriptions of 2-D pictures. BibRef

Pavlidis, T.,
Representation of Figures by Labeled Graphs,
PR(4), No. 1, January 1972, pp. 5-17.
WWW Version. BibRef 7201

Fischler, M.A., and Elschlager, R.A.[Robert A.],
The Representation and Matching of Pictorial Structures,
TC(22), No. 1, January, 1973, pp. 67-92. BibRef 7301
And: CMetImAly77(31-56). Deformable Template. Early good paper using springs between nodes in the graph. BibRef

Fischler, M.A.,
On the Representation of Natural Scenes,
CVS78(47-52). BibRef 7800
Earlier:
Robot Vision: Sketching Natural Scenes,
ARPA96(879-890). Similar in concept to intrinsic images. Do not need exact data. BibRef

Firschein, O., and Fischler, M.A.,
Describing and Abstracting Pictorial Structures,
PR(3), No. 4, November 1971, pp. 421-434.
WWW Version. BibRef 7111

Firschein, O., Fischler, M.A.,
A study in descriptive representation of pictorial data,
PR(4), No. 4, December 1972, pp. 361-366.
WWW Version. 0309
Attempt at general descriptions for general analysis. BibRef

Ram, G.,
Analysis of Images Specified by Graphlike Descriptions,
CGIP(5), 1976, pp. 137-148. BibRef 7600

Cohen, B.L.,
A Powerful and Efficient Structural Pattern Recognition System,
AI(9), No. 3, December 1977, pp. 223-255.
WWW Version. BibRef 7712

Giustini, R.G., Levine, M.D., Malowany, A.S.,
Picture Generation Using Semantic Nets,
CGIP(7), No. 1, February 1978, pp. 1-29.
WWW Version. BibRef 7802

Itai, A., Rodeh, M., Tanimoto, S.L.,
Some Matching Problems for Bipartite Graphs,
JACM(25), 1978, pp. 517-525. BibRef 7800

Funt, B.V.,
Problem Solving with Diagrammatic Representations,
AI(13), No. 3, May 1980, pp. 201-230.
WWW Version. BibRef 8005
Earlier:
Whisper: A Problem-Solving System Utilizing Diagrams and a Parallel Processing Retina,
IJCAI77(459-464). BibRef

Levine, M.D., Ting, D.,
Intermediate Level Picture Interpretation Using Complete Two-Dimensional Models,
CGIP(16), No. 3, July 1981, pp. 185-209.
WWW Version. BibRef 8107

Kodratoff, Y.[Yves],
Generation and semantics of patterns in a discrete space,
CGIP(5), No. 4, December 1976, pp. 447-458.
WWW Version. 0501
BibRef

Kodratoff, Y., Lemerle-Loisel, R.,
Learning Complex Structural Descriptions from Examples,
CVGIP(27), No. 3, September 1984, pp. 266-290.
WWW Version. BibRef 8409
Earlier: IJCAI81(141-143). BibRef

Krose, B.J.A.,
A Structure Description of Visual Information,
PRL(3), 1985, pp. 41-50. BibRef 8500

Werman, M., Peleg, S., Melter, R., and Kong, T.Y.,
Bipartite Graph Matching for Points on a Line or a Circle,
Algorithms(7), 1986, pp. 277-284. BibRef 8600

Niemann, H., Sagerer, G.F., Schroder, S., and Kummert, F.,
ERNEST: A Semantic Network System for Pattern Understanding,
PAMI(12), No. 9, September 1990, pp. 883-905.
IEEE Abstract.
IEEE DOI Link Discusses the graph structure for matching and how to use a general graph matching system. A lot is fairly standard, except that it is general. BibRef 9009

Bauckhage, C.[Christian], Kummert, F.[Franz], Sagerer, G.F.[Gerhard F.],
A Structural Framework for Assembly Modeling and Recognition,
CAIP03(49-56).
WWW Version. 0311
BibRef

Hanheide, M., Bauckhage, C., Sagerer, G.F.,
Memory consistency validation in a cognitive vision system,
ICPR04(II: 459-462).
IEEE DOI Link 0409
BibRef

Niemann, H., Sagerer, G.F., Eichhorn, W.,
Control Strategies in a Hierarchical Knowledge Structure,
PRAI(2), 1988, pp. 557-572. BibRef 8800

Niemann, H.,
A Homogeneous Architecture for Knowledge Based Image Understanding Systems,
CAIA85(88-93). BibRef 8500

Goel, A., Bylander, T.,
Computational feasibility of structured matching,
PAMI(11), No. 12, December 1989, pp. 1312-1316.
IEEE Abstract.
IEEE DOI Link 0401
BibRef

Suganuma, Y.[Yoshinori],
Learning Structures of Visual Patterns from Single Instances,
AI(50), No. 1, June 1991, pp. 1-36.
WWW Version. BibRef 9106

Blake, R.E.,
Partitioning Graph Matching with Constraints,
PR(27), No. 3, March 1994, pp. 439-446.
WWW Version. BibRef 9403

Caelli, T.M.[Terry M.], Kosinov, S.[Serhiy],
An Eigenspace Projection Clustering Method for Inexact Graph Matching,
PAMI(26), No. 4, April 2004, pp. 515-519.
IEEE Abstract. 0403
Spectral approach for graph matching. BibRef

Caelli, T.M.[Terry M.], Caetano, T.S.[Tiberio S.],
Graphical models for graph matching: Approximate models and optimal algorithms,
PRL(26), No. 3, February 2005, pp. 339-346.
WWW Version. 0501
See also Graphical Models and Point Pattern Matching. BibRef

Caetano, T.S., Caelli, T.M., Barone, D.A.C.,
Graphical models for graph matching,
CVPR04(II: 466-473).
IEEE Abstract. 0408
Probabilistic approach for graph matching. BibRef

Lu, J.F.[Jian-Feng], Caelli, T.M., Yang, J.Y.[Jing-Yu],
A graph decomposition approach to least squares attributed graph matching,
ICPR04(II: 471-474).
IEEE DOI Link 0409
BibRef

Caetano, T.S.[Tibério S.], McAuley, J.J.[Julian J.], Cheng, L.[Li], Le, Q.V.[Quoc V.], Smola, A.J.[Alex J.],
Learning Graph Matching,
PAMI(31), No. 6, June 2009, pp. 1048-1058.
IEEE DOI Link 0904
BibRef
Earlier: A1, A3, A4, A5, Only: ICCV07(1-8).
IEEE DOI Link 0710
Graph matching for point matching. See also Graph Rigidity, Cyclic Belief Propagation, and Point Pattern Matching. BibRef

McAuley, J.J.[Julian J.], de Campos, T.[Teofilo], Caetano, T.S.[Tiberio S.],
Unified graph matching in Euclidean spaces,
CVPR10(1871-1878).
IEEE DOI Link 1006
BibRef

McAuley, J.J.[Julian J.], Ramisa, A.[Arnau], Caetano, T.S.[Tibério S.],
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study,
EMMCVPR11(355-368).
Springer DOI Link 1107
BibRef

Chen, L.B.[Long-Bin], McAuley, J.J.[Julian J.], Feris, R.S.[Rogerio S.], Caetano, T.S.[Tiberio S.], Turk, M.[Matthew],
Shape classification through structured learning of matching measures,
CVPR09(365-372).
IEEE DOI Link 0906
BibRef

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 Link 0202
BibRef

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

de Piero, F.W., Trivedi, M.M., Serbin, S.,
Graph Matching Using a Direct Classification of Node Attendance,
PR(29), No. 6, June 1996, pp. 1031-1048.
WWW Version. 9606
BibRef

Tang, Y.C., Lee, C.S.G.,
Optimal Strategic Recognition of Objects Based on Candidate Discriminating Graph with Coordinated Sensors,
SMC(22), 1992, pp. 647-661. BibRef 9200

Cross, A.D.J., Wilson, R.C., Hancock, E.R.,
Inexact Graph Matching Using Genetic Search,
PR(30), No. 6, June 1997, pp. 953-970.
WWW Version. 9706
BibRef
Earlier:
Genetic Search for Structural Matching,
ECCV96(I:514-525).
Springer DOI Link BibRef

Cross, A.D.J.[Andrew D.J.], Hancock, E.R.[Edwin R.],
Graph Matching with a Dual-Step EM Algorithm,
PAMI(20), No. 11, November 1998, pp. 1236-1253.
IEEE Abstract.
IEEE DOI Link 9811
BibRef
Earlier:
Perspective matching using the EM algorithm,
CIAP97(I: 406-413).
WWW Version. 9709
BibRef

Wilson, R.C.[Richard C.], Cross, A.D.J.[Andrew D.J.], Hancock, E.R.[Edwin R.],
Structural Matching with Active Triangulations,
CVIU(72), No. 1, October 1998, pp. 21-38.
WWW Version. BibRef 9810

Torsello, A.[Andrea], Hancock, E.R.[Edwin R.],
Learning Shape-Classes Using a Mixture of Tree-Unions,
PAMI(28), No. 6, June 2006, pp. 954-967.
IEEE DOI Link 0605
BibRef
Earlier:
Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length,
ECCV04(Vol III: 13-25).
WWW Version. 0405
BibRef
Earlier:
Graph Clustering with Tree-Unions,
CAIP03(451-459).
WWW Version. 0311
BibRef
Earlier:
Shape-space from tree-union,
ICPR02(I: 188-191).
IEEE DOI Link 0211
edit operations produce the trees. See also Skeletal Measure of 2D Shape Similarity, A. BibRef

Torsello, A.[Andrea], Hancock, E.R.[Edwin R.],
Graph embedding using tree edit-union,
PR(40), No. 5, May 2007, pp. 1393-1405.
WWW Version. 0702
2D shape; Skeleton; Tree-union; Embedding See also Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering. BibRef

Torsello, A.[Andrea],
An importance sampling approach to learning structural representations of shape,
CVPR08(1-7).
IEEE DOI Link 0806
BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
A generative model for graph matching and embedding,
CVIU(113), No. 7, July 2009, pp. 777-789.
Elsevier DOI Link
WWW Version. 0905
BibRef
And: A1, A3, A2:
Quantitative Evaluation on Heat Kernel Permutation Invariants,
SSPR08(217-226).
Springer DOI Link 0812
BibRef
Earlier: A1, A3, A2:
Object recognition using graph spectral invariants,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And: A2, A3, A1:
Characterising Graphs using the Heat Kernel,
BMVC05(xx-yy).
HTML Version. 0509
BibRef
Earlier: A2, A3, A1:
Graph Clustering using Symmetric Polynomials and Local Linear Embedding,
BMVC03(xx-yy).
HTML Version. 0409
Graph embedding; Shape analysis; Generative model; Heat-kernel analysis BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
Graph characteristics from the heat kernel trace,
PR(42), No. 11, November 2009, pp. 2589-2606.
Elsevier DOI Link
WWW Version. 0907
Heat kernel trace; Graph invariants; Image clustering and recognition BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
Geometric characterization and clustering of graphs using heat kernel embeddings,
IVC(28), No. 6, June 2010, pp. 1003-1021.
Elsevier DOI Link
WWW Version. 1003
Graph spectra; Kernel methods; Graph embedding; Differential geometry; Graph clustering BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.],
A Spectral Generative Model for Graph Structure,
SSPR06(173-181).
Springer DOI Link 0608
BibRef
Earlier:
Geometric Characterisation of Graphs,
CIAP05(471-478).
Springer DOI Link 0509
BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.],
Clustering Shapes Using Heat Content Invariants,
ICIP05(I: 1169-1172).
IEEE DOI Link 0512
BibRef
Earlier:
Graph Clustering Using Heat Content Invariants,
IbPRIA05(II:123).
Springer DOI Link 0509
BibRef

Xiao, B.[Bai], Hancock, E.R.[Edwin R.],
Trace Formula Analysis of Graphs,
SSPR06(306-313).
Springer DOI Link 0608
BibRef

Xiao, B.[Bai], Yu, H.[Hang], Hancock, E.R.[Edwin R.],
Graph Matching Using Manifold Embedding,
ICIAR04(I: 352-359).
WWW Version. 0409
BibRef
And:
Graph matching using spectral embedding and alignment,
ICPR04(III: 398-401).
IEEE DOI Link 0409
BibRef
And:
Graph Matching using Spectral Embedding and Semidefinite Programming,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Luo, B.[Bin], Wilson, R.C., Hancock, E.R.,
Graph manifolds from spectral polynomials,
ICPR04(III: 402-405).
IEEE DOI Link 0409
BibRef

Sagerer, G.F.[Gerhard F.], Niemann, H.[Heinrich],
Semantic Networks for Understanding Scenes,
Plenum1997. ISBN 0-306-45704-0. 512 pp. Segmentation, Knowledge representation, Judgment, Control, Acquisition of Knowledge, Explanation and User Interface, Applications. BibRef 9700

Niemann, H.,
Hierarchical Graphs in Pattern Analysis,
ICPR80(213-216). BibRef 8000

Bunke, H., Sagerer, G.F.,
Use and Representation of Knowledge in Image Understanding Based on Semantic Networks,
ICPR84(1135-1137). BibRef 8400

Finch, A.M.[Andrew M.], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Symbolic graph matching with the EM algorithm,
PR(31), No. 11, November 1998, pp. 1777-1790.
WWW Version. BibRef 9811

Williams, M.L.[Mark L.], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Deterministic search for relational graph matching,
PR(32), No. 7, July 1999, pp. 1255-1271.
WWW Version. BibRef 9907

Jiang, X.Y.[Xiao-Yi], Bunke, H.[Horst],
Optimal quadratic-time isomorphism of ordered graphs,
PR(32), No. 7, July 1999, pp. 1273-1283.
WWW Version. BibRef 9907

Pelillo, M.[Marcello], Siddiqi, K.[Kaleem], Zucker, S.W.[Steven W.],
Matching Hierarchical Structures Using Association Graphs,
PAMI(21), No. 11, November 1999, pp. 1105-1120.
IEEE Abstract.
IEEE DOI Link 9912
BibRef
Earlier: ECCV98(II: 3).
WWW Version. BibRef
And:
Attributed tree matching and maximum weight cliques,
CIAP99(1154-1159).
IEEE DOI Link 9909
When trees are hierarchical find maximal cliques may not work. Recast the matching problem as a quadratic program. BibRef

Pelillo, M.[Marcello], Siddiqi, K.[Kaleem], Zucker, S.W.[Steven W.],
Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics,
VF01(583 ff.).
HTML Version. 0209
BibRef

Pelillo, M.[Marcello],
Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics,
PAMI(24), No. 11, November 2002, pp. 1535-1541.
IEEE Abstract. 0211
BibRef
Earlier: EMMCVPR01(423-437).
Springer DOI Link 0205
BibRef

Pelillo, M.[Marcello],
Replicator Equations, Maximal Cliques, and Graph Isomorphism,
NeuroComp(11), No. 9, 1999, pp. 1933-1955. Replicator Equations. BibRef 9900

Pelillo, M.[Marcello],
A Unifying Framework for Relational Structure Matching,
ICPR98(Vol II: 1316-1319).
IEEE DOI Link 9808
BibRef

Torsello, A.[Andrea], Hidovic-Rowe, D.[Dzena], Pelillo, M.[Marcello],
Polynomial-Time Metrics for Attributed Trees,
PAMI(27), No. 7, July 2005, pp. 1087-1099.
IEEE Abstract. 0506
BibRef
Earlier:
A Polynomial-Time Metric for Attributed Trees,
ECCV04(Vol IV: 414-427).
WWW Version. 0405
BibRef
And:
Four metrics for efficiently comparing attributed trees,
ICPR04(II: 467-470).
IEEE DOI Link 0409
Four distance measures centered around the notion of a maximal similarity common subtree. BibRef

Torsello, A.[Andrea], Albarelli, A.[Andrea], Pelillo, M.[Marcello],
Matching Relational Structures using the Edge-Association Graph,
CIAP07(775-780).
IEEE DOI Link 0709
BibRef

Erdem, A.[Aykut], Pelillo, M.[Marcello],
Graph Transduction as a Non-cooperative Game,
GbRPR11(195-204).
Springer DOI Link 1105
BibRef

van Wyk, M.A.[Michaël A.], Durrani, T.S.[Tariq S.], van Wyk, B.J.[Barend J.],
A RKHS Interpolator-Based Graph Matching Algorithm,
PAMI(24), No. 7, July 2002, pp. 988-995.
IEEE Abstract. 0207
Graph matching for lines from aerial images. BibRef

Toudjeu, I.T.[Ignace Tchangou], van Wyk, B.J.[Barend Jacobus], van Wyk, M.A.[Michaël Antonie], van den Bergh, F.[Frans],
Global Image Feature Extraction Using Slope Pattern Spectra,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef

van Wyk, M.A.[Michaël A.], Durrani, T.S.[Tariq S.],
A Framework for Multi-Scale and Hybrid RKHS-Based Approximators,
TSP(48), No. 12, 2000, pp. 3559-3568.
IEEE Top Reference. BibRef 0001

Park, B.G.[Bo Gun], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk], Lee, J.H.[Jin Hak],
Recognition of partially occluded objects using probabilistic ARG-based matching,
CVIU(90), No. 3, June 2003, pp. 217-241.
WWW Version. 0307
Attributed Relational Graph BibRef

Park, B.G.[Bo Gun], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
A Novel Stochastic Attributed Relational Graph Matching Based on Relation Vector Space Analysis,
ACIVS06(978-989).
Springer DOI Link 0609
BibRef

Lee, J.M.[Jung-Min], Cho, M.[Minsu], Lee, K.M.[Kyoung Mu],
Hyper-graph matching via reweighted random walks,
CVPR11(1633-1640).
IEEE DOI Link 1106
BibRef
Earlier: A2, A1, A3:
Reweighted Random Walks for Graph Matching,
ECCV10(V: 492-505).
Springer DOI Link 1009
BibRef

van Wyk, B.J., van Wyk, M.A.,
Kronecker product graph matching,
PR(36), No. 9, September 2003, pp. 2019-2030.
WWW Version. 0307
BibRef

Sangineto, E.[Enver],
An abstract representation of geometric knowledge for object classification,
PRL(24), No. 9-10, June 2003, pp. 1241-1250.
WWW Version. 0304
Efficient algorithm for constraint satisfaction. BibRef

He, L.[Lei], Han, C.Y.[Chia Y.], Everding, B.[Bryan], Wee, W.G.[William G.],
Graph matching for object recognition and recovery,
PR(37), No. 7, July 2004, pp. 1557-1560.
WWW Version. 0405
BibRef

Lopresti, D.P., Wilfong, G.,
A fast technique for comparing graph representations with applications to performance evaluation,
IJDAR(6), No. 4, April 2004, pp. 219-229.
Springer DOI Link 0406
Document analysis application. BibRef

Gori, M., Maggini, M., Sarti, L.,
Exact and Approximate Graph Matching Using Random Walks,
PAMI(27), No. 7, July 2005, pp. 1100-1111.
IEEE Abstract. 0506
BibRef
Earlier:
Graph matching using random walks,
ICPR04(III: 394-397).
IEEE DOI Link 0409
BibRef

Frey, B.J.[Brendan J.], Jojic, N.[Nebojsa],
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models,
PAMI(27), No. 9, September 2005, pp. 1392-1416.
IEEE DOI Link 0508
Graph models of the image. BibRef

Todorovic, S.[Sinisa], Nechyba, M.C.[Michael C.],
Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions,
PAMI(27), No. 11, November 2005, pp. 1762-1777.
IEEE DOI Link 0510
BibRef
Earlier:
Detection of artificial structures in natural-scene images using dynamic trees,
ICPR04(I: 35-39).
IEEE DOI Link 0409
Segment the image for matching. Captures relations (components). BibRef

Todorovic, S.[Sinisa], Nechyba, M.C.[Michael C.],
Interpretation of complex scenes using dynamic tree-structure Bayesian networks,
CVIU(106), No. 1, April 2007, pp. 71-84.
WWW Version. 0704
BibRef
And:
Interpretation of Complex Scenes Using Generative Dynamic-Structure Models,
GenModel04(184).
IEEE DOI Link 0406
BibRef
Earlier:
Multiresolution linear discriminant analysis: efficient extraction of geometrical structures in images,
ICIP03(I: 1029-1032).
IEEE Abstract. 0312
Generative models; Bayesian networks; Dynamic trees; Variational inference; Image segmentation; Object recognition BibRef

Todorovic, S.[Sinisa], Ahuja, N.[Narendra],
Region-Based Hierarchical Image Matching,
IJCV(78), No. 1, June 2008, pp. 47-66.
Springer DOI Link 0803
BibRef
Earlier:
Extracting Subimages of an Unknown Category from a Set of Images,
CVPR06(I: 927-934).
IEEE DOI Link 0606
BibRef
And: A2, A1:
Learning the Taxonomy and Models of Categories Present in Arbitrary Images,
ICCV07(1-8).
IEEE DOI Link 0710
Identify properties of the object, learn a model, segment. BibRef

Payet, N.[Nadia], Todorovic, S.[Sinisa],
From contours to 3D object detection and pose estimation,
ICCV11(983-990).
IEEE DOI Link 1201
BibRef

Payet, N.[Nadia], Todorovic, S.[Sinisa],
Scene shape from texture of objects,
CVPR11(2017-2024).
IEEE DOI Link 1106
BibRef
Earlier:
From a Set of Shapes to Object Discovery,
ECCV10(V: 57-70).
Springer DOI Link 1009
BibRef

Payet, N.[Nadia], Todorovic, S.[Sinisa],
Matching Hierarchies of Deformable Shapes,
GbRPR09(1-10).
Springer DOI Link 0905
BibRef

Todorovic, S.[Sinisa], Ahuja, N.[Narendra],
Scale-Invariant Region-Based Hierarchical Image Matching,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Ahuja, N.[Narendra], Todorovic, S.[Sinisa],
Connected Segmentation Tree: A joint representation of region layout and hierarchy,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Todorovic, S.[Sinisa], Ahuja, N.[Narendra],
Unsupervised Category Modeling, Recognition, and Segmentation in Images,
PAMI(30), No. 12, December 2008, pp. 2158-2174.
IEEE DOI Link 0811
BibRef
Earlier:
Learning subcategory relevances for category recognition,
CVPR08(1-8).
IEEE DOI Link 0806
Solve the problem of finding the common objects in the set of images, learning the structure of the objects, finding the objects in new images. Tree-representation of the images. BibRef

Naik, S.K.[Sarif Kumar], Murthy, C.A.,
Distinct Multicolored Region Descriptors for Object Recognition,
PAMI(29), No. 7, July 2007, pp. 1291-1296.
IEEE DOI Link 0706
Color features of regions for recognition. BibRef

Kohli, P.[Pushmeet], Ladický, L.[Lubor], Torr, P.H.S.[Philip H.S.],
Robust Higher Order Potentials for Enforcing Label Consistency,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI Link 0903
BibRef
Earlier: CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Alahari, K.[Karteek], Russell, C.[Chris], Torr, P.H.S.[Philip H. S.],
Efficient piecewise learning for conditional random fields,
CVPR10(895-901).
IEEE DOI Link 1006
BibRef

Kohli, P.[Pushmeet], Kumar, M.P.[M. Pawan], Torr, P.H.S.[Philip H.S.],
P3 and Beyond: Move Making Algorithms for Solving Higher Order Functions,
PAMI(31), No. 9, September 2009, pp. 1645-1656.
IEEE DOI Link 0907
BibRef
Earlier:
P3 and Beyond: Solving Energies with Higher Order Cliques,
CVPR07(1-8).
IEEE DOI Link 0706
Energy minimization for texture segmentation. Extend class for computing in polynomial time. BibRef

Zheng, K.J.[Kai-Jie], Peng, J.G.[Ji-Gen], Ying, S.H.[Shi-Hui],
A New Approach to Weighted Graph Matching,
IEICE(E92-D), No. 8, August 2009, pp. 1580-1583.
WWW Version. 0909
BibRef

Xie, Z.[Zhao], Gao, J.[Jun], Wu, X.D.[Xin-Dong],
Regional category parsing in undirected graphical models,
PRL(30), No. 14, 15 October 2009, pp. 1264-1272,.
Elsevier DOI Link
WWW Version. 0909
Spatial relations between patches. Regional categorization; Undirected graphical model; Pseudo-likelihood; Probability inference; Parameter estimation; ROC curve BibRef

Zaslavskiy, M.[Mikhail], Bach, F.[Francis], Vert, J.P.[Jean-Philippe],
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PAMI(31), No. 12, December 2009, pp. 2227-2242.
IEEE DOI Link 0911
BibRef
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A Path Following Algorithm for Graph Matching,
ICISP08(329-337).
Springer DOI Link 0807
Weighted graph matching BibRef

Harchaoui, Z.[Zaid], Bach, F.[Francis],
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CVPR07(1-8).
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Cheng, B., Yang, J., Yan, S., Fu, Y., Huang, T.S.,
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IP(19), No. 4, April 2010, pp. 858-866.
IEEE DOI Link 1003
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Lin, L.[Liang], Liu, X.B.[Xiao-Bai], Zhu, S.C.[Song-Chun],
Layered Graph Matching with Composite Cluster Sampling,
PAMI(32), No. 8, August 2010, pp. 1426-1442.
IEEE DOI Link 1007
Integrate graph partitioning and matching. Find unknown number of corresponding graph structures in two images. BibRef

Lin, L.[Liang], Zeng, K.[Kun], Liu, X.B.[Xiao-Bai], Zhu, S.C.[Song-Chun],
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CVPR09(1351-1358).
IEEE DOI Link 0906
BibRef

Chertok, M.[Michael], Keller, Y.[Yosi],
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PAMI(32), No. 12, December 2010, pp. 2205-2215.
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Huang, Y.[Yuchi], Liu, Q.S.[Qing-Shan], Lv, F.J.[Feng-Jun], Gong, Y.H.[Yi-Hong], Metaxas, D.N.[Dimitris N.],
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PAMI(33), No. 6, June 2011, pp. 1266-1273.
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Demirci, M.F.[M. Fatih], Osmanlioglu, Y.[Yusuf], Shokoufandeh, A.[Ali], Dickinson, S.[Sven],
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CVIU(115), No. 7, July 2011, pp. 976-983.
Elsevier DOI Link
WWW Version. 1106
BibRef
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Many-to-Many Matching under the L1 Norm,
CIAP09(787-796).
Springer DOI Link 0909
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GbRPR11(62-71).
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CVIU(115), No. 7, July 2011, pp. 962-975.
Elsevier DOI Link
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Graph embedding; Riemannian geometry; Relational matching BibRef

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Image Categorization Using Directed Graphs,
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Image annotation using multi-label correlated Green's function,
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IEEE DOI Link 0909
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CIVR10(414-421).
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Springer DOI Link 0909
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ICIP09(445-448).
IEEE DOI Link 0911
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Lin, L.[Liang], Zhu, S.C.[Song-Chun], Wang, Y.T.[Yong-Tian],
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Fazl-Ersi, E.[Ehsan], Zelek, J.S.[John S.],
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Declercq, A.[Arnaud], Piater, J.H.[Justus H.],
On-line Simultaneous Learning and Tracking of Visual Feature Graphs,
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Aksoy, S.[Selim],
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Han, D.I.[Dong-Il], You, B.J.[Bum-Jae], Kim, Y.S.[Yong Se], Suh, I.H.[Il Hong],
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Bart, E.[Evgeniy], Ullman, S.[Shimon],
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Jiang, H.[Hui], Ngo, C.W.[Chong-Wah],
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Lee, R.L., Marrs, A., Webb, A., Webber, H.,
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El Badawy, O., Kamel, M.,
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ICPR04(III: 111-114).
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El Badawy, O., Kamel, M.,
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Peura, M.[Markus],
Flexible Heuristic Matching of Attribute Trees,
SCIA01(O-Th1). 0206
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Attribute Trees In Image Analysis: Heuristic Matching and Learning Techniques,
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Esposito, F., Malerba, D., Semeraro, G.,
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ICPR84(883-885). BibRef 8400

Khan, N.A., Jain, R.,
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Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Subgraph Isomorphism, Common Subgraphs, Subgraph Matching .