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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
0909
Spatial relations between patches.
Regional categorization; Undirected graphical model;
Pseudo-likelihood; Probability inference; Parameter estimation; ROC
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BibRef
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Li, B.M.[Bao-Min],
Unsupervised learning of spatial structures shared among images,
VC(27), No. 2, February 2011, pp. 175-180.
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BibRef
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Krishnamurthy, P.[Preethi],
Spatio-temporal object relationships in image sequences using adjacency
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1205
BibRef
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Exploring neighborhood and spatial information for improving scene
classification,
PRL(46), No. 1, 2014, pp. 83-88.
Elsevier DOI
1407
Image descriptor
BibRef
Çeliktutan, O.[Oya],
Wolf, C.[Christian],
Sankur, B.[Bülent],
Lombardi, E.[Eric],
Fast Exact Hyper-graph Matching with Dynamic Programming for
Spatio-temporal Data,
JMIV(51), No. 1, January 2015, pp. 1-21.
Springer DOI
1503
BibRef
Dammak, M.[Mouna],
Mejdoub, M.[Mahmoud],
Ben Amar, C.[Chokri],
Histogram of dense subgraphs for image representation,
IET-IPR(9), No. 3, 2015, pp. 184-191.
DOI Link
1504
Model spatial info.
feature extraction
BibRef
Chang, J.Y.[Ju Yong],
Lee, K.M.[Kyoung Mu],
Large margin learning of hierarchical semantic similarity for image
classification,
CVIU(132), No. 1, 2015, pp. 3-11.
Elsevier DOI
1502
Image classification
BibRef
Myeong, H.[Heesoo],
Chang, J.Y.[Ju Yong],
Lee, K.M.[Kyoung Mu],
Learning object relationships via graph-based context model,
CVPR12(2727-2734).
IEEE DOI
1208
BibRef
Myeong, H.[Heesoo],
Lee, K.M.[Kyoung Mu],
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene
Segmentation,
CVPR13(3073-3080)
IEEE DOI
1309
BibRef
Cho, M.S.[Min-Su],
Lee, K.M.[Kyoung Mu],
Mode-seeking on graphs via random walks,
CVPR12(606-613).
IEEE DOI
1208
BibRef
Lee, J.M.[Jung-Min],
Cho, M.S.[Min-Su],
Lee, K.M.[Kyoung Mu],
Hyper-graph matching via reweighted random walks,
CVPR11(1633-1640).
IEEE DOI
1106
BibRef
Earlier: A2, A1, A3:
Reweighted Random Walks for Graph Matching,
ECCV10(V: 492-505).
Springer DOI
1009
BibRef
Zhu, J.[Jun],
Wu, T.F.[Tian-Fu],
Zhu, S.C.[Song-Chun],
Yang, X.K.[Xiao-Kang],
Zhang, W.J.[Wen-Jun],
A Reconfigurable Tangram Model for Scene Representation and
Categorization,
IP(25), No. 1, January 2016, pp. 150-166.
IEEE DOI
1601
BibRef
Earlier:
Learning reconfigurable scene representation by tangram model,
WACV12(449-456).
IEEE DOI
1203
Clustering algorithms.
spatial configuration and appearance model.
Compositional shape dictionary, with elements (tans) based on task.
BibRef
Lee, C.S.[Chan-Su],
Elgammal, A.E.[Ahmed E.],
Torki, M.[Marwan],
Learning representations from multiple manifolds,
PR(50), No. 1, 2016, pp. 74-87.
Elsevier DOI
1512
BibRef
Earlier: A3, A2, A1:
Learning a Joint Manifold Representation from Multiple Data Sets,
ICPR10(1068-1071).
IEEE DOI
1008
Manifold learning
BibRef
El-Gaaly, T.[Tarek],
Torki, M.[Marwan],
Elgammal, A.M.[Ahmed M.],
Spatial-Visual Label Propagation for Local Feature Classification,
ICPR14(3422-3427)
IEEE DOI
1412
Equations
BibRef
Torki, M.[Marwan],
Elgammal, A.M.[Ahmed M.],
Regression from local features for viewpoint and pose estimation,
ICCV11(2603-2610).
IEEE DOI
1201
BibRef
Earlier:
Putting local features on a manifold,
CVPR10(1743-1750).
IEEE DOI
1006
Capture both feature similarity and spatial arrangement.
For learning.
BibRef
Torki, M.[Marwan],
Elgammal, A.M.[Ahmed M.],
One-shot multi-set non-rigid feature-spatial matching,
CVPR10(3058-3065).
IEEE DOI
1006
BibRef
Chakraborty, I.[Ishani],
Elgammal, A.M.[Ahmed M.],
Object Localization by Propagating Connectivity via Superfeatures,
ICPR10(3069-3072).
IEEE DOI
1008
BibRef
Earlier:
Object localization using affine invariant substructure constraints,
ICPR08(1-5).
IEEE DOI
0812
BibRef
Zhong, Y.F.[Yan-Fei],
Wu, S.Q.[Si-Qi],
Zhao, B.[Bei],
Scene Semantic Understanding Based on the Spatial Context Relations
of Multiple Objects,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Cui, W.[Wei],
Wang, F.[Fei],
He, X.[Xin],
Zhang, D.Y.[Dong-You],
Xu, X.X.[Xu-Xiang],
Yao, M.[Meng],
Wang, Z.[Ziwei],
Huang, J.[Jiejun],
Multi-Scale Semantic Segmentation and Spatial Relationship
Recognition of Remote Sensing Images Based on an Attention Model,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
Objects and spatial relations.
BibRef
Clément, M.[Michaël],
Kurtz, C.[Camille],
Wendling, L.[Laurent],
Fuzzy directional enlacement landscapes for the evaluation of complex
spatial relations,
PR(101), 2020, pp. 107185.
Elsevier DOI
2003
Evaluation of spatial relations, Fuzzy directional landscapes,
Enlacement, Surrounding
BibRef
Zhou, H.[Hao],
Zhang, C.Y.[Chong-Yang],
Zhao, M.M.[Mu-Ming],
Luo, Y.[Yan],
Hu, C.P.[Chuan-Ping],
Improving Visual Relationship Detection With Two-Stage Correlation
Exploitation,
CirSysVideo(31), No. 7, July 2021, pp. 2751-2763.
IEEE DOI
2107
Visualization, Correlation, Proposals, Semantics, Task analysis,
Explosions, Object detection, Visual relationship detection,
label distribution
BibRef
Ma, R.X.[Rui-Xin],
Li, Z.[Zeyang],
Guo, F.Q.[Fang-Qing],
Zhao, L.[Liang],
Hybrid attention mechanism for few-shot relational learning of
knowledge graphs,
IET-CV(15), No. 8, 2021, pp. 561-572.
DOI Link
2110
attention mechanism, few-shot, knowledge graph reasoning, one-shot
BibRef
Xu, J.[Jun],
Pan, X.[Xin],
Zhao, J.[Jian],
Fu, H.[Haohai],
Virtual Reality-Based Fuzzy Spatial Relation Knowledge Extraction
Method for Observer-Centered Vague Location Descriptions,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Tajrobehkar, M.[Mitra],
Tang, K.[Kaihua],
Zhang, H.W.[Han-Wang],
Lim, J.H.[Joo-Hwee],
Align R-CNN: A Pairwise Head Network for Visual Relationship
Detection,
MultMed(24), 2022, pp. 1266-1276.
IEEE DOI
2204
Feature extraction, Visualization, Task analysis,
Predictive models, Semantics, Context modeling, Data mining,
visual attention
BibRef
Zhang, H.W.[Han-Wang],
Kyaw, Z.L.[Zaw-Lin],
Chang, S.F.[Shih-Fu],
Chua, T.S.[Tat-Seng],
Visual Translation Embedding Network for Visual Relation Detection,
CVPR17(3107-3115)
IEEE DOI
1711
Computational modeling, Feature extraction,
Knowledge based systems, Knowledge transfer, Object detection, Visualization
BibRef
Zhang, H.W.[Han-Wang],
Kyaw, Z.L.[Zaw-Lin],
Yu, J.,
Chang, S.F.[Shih-Fu],
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel
Pairwise R-FCN,
ICCV17(4243-4251)
IEEE DOI
1802
computational complexity, convolution,
feature selection, image classification,
Visualization
BibRef
Leng, L.[Liang],
Wang, F.Y.[Feng-Yan],
Wang, M.C.[Ming-Chang],
Yang, G.D.[Guo-Dong],
Niu, X.F.[Xue-Feng],
Zhang, X.[Xuqing],
A Generalized 9-Intersection Model for Topological Relations between
Regions with Holes,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Wu, T.[Tao],
Ma, H.Y.[Hong-Yu],
Wang, C.[Chao],
Qiao, S.J.[Shao-Jie],
Zhang, L.[Liang],
Yu, S.[Shui],
Heterogeneous Representation Learning and Matching for Few-Shot
Relation Prediction,
PR(131), 2022, pp. 108830.
Elsevier DOI
2208
Code, Relations.
WWW Link. Knowledge graphs, Few-shot learning, Relation prediction,
Representation learning, Convolutional network
BibRef
Cheng, J.[Jun],
Wang, L.[Lei],
Wu, J.J.[Jia-Ji],
Hu, X.P.[Xi-Ping],
Jeon, G.G.[Gwang-Gil],
Tao, D.C.[Da-Cheng],
Zhou, M.C.[Meng-Chu],
Visual Relationship Detection: A Survey,
Cyber(52), No. 8, August 2022, pp. 8453-8466.
IEEE DOI
2208
Visualization, Task analysis, Deep learning, Cognition,
Object detection, Training, Semantics, Deep learning, detection,
visual relation
BibRef
Zhang, Y.[Yi],
Shen, J.D.[Jun-Dong],
Yu, C.[Cheng],
Wang, C.J.[Chong-Jun],
Views Meet Labels: Personalized Relation Refinement Network for
Multiview Multilabel Learning,
MultMedMag(29), No. 2, April 2022, pp. 104-113.
IEEE DOI
2208
Feature extraction, Adaptation models, Transformers, Data mining, Semantics
BibRef
Liu, Z.X.[Zhi-Xuan],
Zheng, W.S.[Wei-Shi],
Learning multimodal relationship interaction for visual relationship
detection,
PR(132), 2022, pp. 108848.
Elsevier DOI
2209
Visual relationship detection, Scene graph generation,
Relationship context, Multimodal relationship interaction
BibRef
Cui, Y.[Yu],
Farazi, M.[Moshiur],
VReBERT: A Simple and Flexible Transformer for Visual Relationship
Detection,
ICPR22(4079-4086)
IEEE DOI
2212
Training, Visualization, Semantics, Predictive models, Linguistics,
Transformers, Feature extraction
BibRef
Chen, J.[Jun],
Agarwal, A.[Aniket],
Abdelkarim, S.[Sherif],
Zhu, D.[Deyao],
Elhoseiny, M.[Mohamed],
RelTransformer: A Transformer-Based Long-Tail Visual Relationship
Recognition,
CVPR22(19485-19495)
IEEE DOI
2210
Representation learning, Visualization, Vocabulary,
Image recognition, Tail, Benchmark testing, Transformers,
Transfer/low-shot/long-tail learning
BibRef
Abdelkarim, S.[Sherif],
Agarwal, A.[Aniket],
Achlioptas, P.[Panos],
Chen, J.[Jun],
Huang, J.J.[Jia-Ji],
Li, B.Y.[Bo-Yang],
Church, K.[Kenneth],
Elhoseiny, M.[Mohamed],
Exploring Long Tail Visual Relationship Recognition with Large
Vocabulary,
ICCV21(15901-15910)
IEEE DOI
2203
Visualization, Adaptation models, Vocabulary, Rabbits,
Computational modeling, Genomics,
Vision applications and systems
BibRef
Zhang, H.G.[Hui-Gang],
Wang, L.[Liuan],
Sun, J.[Jun],
Knowledge-Based Reasoning Network for Object Detection,
ICIP21(1579-1583)
IEEE DOI
2201
Knowledge engineering, Visualization, Knowledge based systems,
Semantics, Detectors, Object detection, Benchmark testing,
COCO detection benchmark
BibRef
Li, Z.[Zeng],
Liu, Y.F.[Yi-Fan],
Liu, J.D.[Jing-Dong],
Yuan, Y.[Ye],
Raza, A.[Asif],
Huo, H.[Hong],
Fang, T.[Tao],
Object Relationship Graph Reasoning for Object Detection of Remote
Sensing Images,
ICIVC21(43-48)
IEEE DOI
2112
Deep learning, Semantics, Object detection, Feature extraction,
Cognition, Sensors, Proposals, deep learning, remote sensing,
graph reasoning
BibRef
Tripathi, A.[Anurag],
Srivastava, S.[Siddharth],
Lall, B.[Brejesh],
Chaudhury, S.[Santanu],
Using Scene Graphs for Detecting Visual Relationships,
ICPR21(10074-10081)
IEEE DOI
2105
Visualization, Semantics, Pipelines, Genomics, Feature extraction,
Graph neural networks
BibRef
Deléarde, R.[Robin],
Kurtz, C.[Camille],
Dejean, P.[Philippe],
Wendling, L.[Laurent],
Force Banner for the recognition of spatial relations,
ICPR21(6065-6072)
IEEE DOI
2105
Visualization, Image recognition, Shape, Force, Predictive models,
Complexity theory
BibRef
Plesse, F.[François],
Ginsca, A.[Alexandru],
Delezoide, B.[Bertrand],
Prêteux, F.[Françoise],
Focusing Visual Relation Detection on Relevant Relations with Prior
Potentials,
WACV20(2969-2978)
IEEE DOI
2006
Visualization, Feature extraction, Genomics, Bioinformatics,
Predictive models, Task analysis
BibRef
de M. Estevão Filho, R.[Roberto],
Gomes, J.G.R.C.[José Gabriel R.C.],
de O. Nunes, L.[Leonardo],
Visual Relationship Classification With Negative-Sample Mining,
ICIP20(2251-2255)
IEEE DOI
2011
How parts of the scene are related.
Visualization, Feature extraction, Task analysis, Encoding, Training,
Object detection, Detectors, deep convolutional neural networks,
machine learning
BibRef
Hu, H.,
Zhang, Z.,
Xie, Z.,
Lin, S.,
Local Relation Networks for Image Recognition,
ICCV19(3463-3472)
IEEE DOI
2004
data visualisation, feature extraction,
image classification, image matching, image representation, Adaptation models
BibRef
Nigam, I.[Ishan],
Tokmakov, P.[Pavel],
Ramanan, D.[Deva],
Towards Latent Attribute Discovery From Triplet Similarities,
ICCV19(402-410)
IEEE DOI
2004
learning (artificial intelligence),
triplet similarity comparisons, LSNs, Semantics
BibRef
Krishna, R.[Ranjay],
Chen, V.[Vincent],
Varma, P.[Paroma],
Bernstein, M.[Michael],
Ré, C.[Christopher],
Fei-Fei, L.[Li],
Scene Graph Prediction With Limited Labels,
ICCV19(2580-2590)
IEEE DOI
2004
BibRef
And: A2, A3, A1, A4, A5, A6:
SGRL19(1772-1782)
IEEE DOI
2004
Visual relationships.
Visualization, Complexity theory, Feature extraction, Genomics,
Bioinformatics, Training, Data models, weak supervision,
visual knowledge base.
computational complexity, graph theory,
knowledge based systems, learning (artificial intelligence), Data models
BibRef
Peyre, J.,
Sivic, J.,
Laptev, I.,
Schmid, C.,
Detecting Unseen Visual Relations Using Analogies,
ICCV19(1981-1990)
IEEE DOI
2004
image recognition, image representation, image retrieval,
learning (artificial intelligence), unseen visual relations,
Vocabulary
BibRef
Hu, R.,
Rohrbach, A.,
Darrell, T.J.,
Saenko, K.,
Language-Conditioned Graph Networks for Relational Reasoning,
ICCV19(10293-10302)
IEEE DOI
2004
Code, Graph Representation.
WWW Link. feature extraction, graph theory, image representation,
inference mechanisms, iterative methods, message passing,
Knowledge discovery
BibRef
Dorda, D.[Daniel],
Nabi, M.[Moin],
SynthRel0: Towards a Diagnostic Dataset for Relational Representation
Learning,
SGRL19(1765-1771)
IEEE DOI
2004
approximation theory, data analysis, entropy,
graph theory, learning (artificial intelligence), SynthRel0,
diagnostic dataset
BibRef
Dornadula, A.[Apoorva],
Narcomey, A.[Austin],
Krishna, R.[Ranjay],
Bernstein, M.[Michael],
Li, F.F.[Fei-Fei],
Visual Relationships as Functions:
Enabling Few-Shot Scene Graph Prediction,
SGRL19(1730-1739)
IEEE DOI
2004
convolutional neural nets, data visualisation, graph theory,
image classification, image representation,
image understanding
BibRef
Qi, M.S.[Meng-Shi],
Li, W.J.[Wei-Jian],
Yang, Z.Y.[Zheng-Yuan],
Wang, Y.H.[Yun-Hong],
Luo, J.B.[Jie-Bo],
Attentive Relational Networks for Mapping Images to Scene Graphs,
CVPR19(3952-3961).
IEEE DOI
2002
BibRef
Gkanatsios, N.[Nikolaos],
Pitsikalis, V.[Vassilis],
Koutras, P.[Petros],
Zlatintsi, A.[Athanasia],
Maragos, P.[Petros],
Deeply Supervised Multimodal Attentional Translation Embeddings for
Visual Relationship Detection,
ICIP19(1840-1844)
IEEE DOI
1910
BibRef
And:
Showcasing Deeply Supervised Multimodal Attentional Translation
Embeddings: a Demo for Visual Relationship Detection,
ICIP19(2456-2456)
IEEE DOI
1910
Visual Relationship Detection, Attention, Multiple Modalities,
Translation Embeddings, Deep Supervision.
Web Demo, Online Predictions, Video Streaming
BibRef
Gay, P.[Paul],
Stuart, J.[James],
del Bue, a.[alessio],
Visual Graphs from Motion (VGfM):
Scene Understanding with Object Geometry Reasoning,
ACCV18(III:330-346).
Springer DOI
1906
BibRef
Kim, D.,
Yoo, Y.,
Kim, J.,
Lee, S.,
Kwak, N.,
Dynamic Graph Generation Network:
Generating Relational Knowledge from Diagrams,
CVPR18(4167-4175)
IEEE DOI
1812
Visualization, Image edge detection, Recurrent neural networks,
Knowledge engineering, Layout, Detectors
BibRef
Dai, B.,
Zhang, Y.,
Lin, D.,
Detecting Visual Relationships with Deep Relational Networks,
CVPR17(3298-3308)
IEEE DOI
1711
Detectors, Feature extraction, Genomics,
Machine learning, Visualization
BibRef
Zhang, Z.[Zhang],
Huang, K.Q.[Kai-Qi],
Tan, T.N.[Tie-Niu],
Yang, P.P.[Pei-Pei],
Li, J.[Jun],
ReD-SFA:
Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,
CVPR16(752-760)
IEEE DOI
1612
Construct relation graph
BibRef
Ding, N.[Nan],
Deng, J.[Jia],
Murphy, K.P.[Kevin P.],
Neven, H.[Hartmut],
Probabilistic Label Relation Graphs with Ising Models,
ICCV15(1161-1169)
IEEE DOI
1602
Animals
BibRef
Gupta, R.K.[Raj Kumar],
Pandey, M.[Megha],
Chia, A.Y.S.[Alex Y.S.],
Learning Discriminative Visual N-grams from Mid-level Image Features,
BMVC15(xx-yy).
DOI Link
1601
mid-level elements, spatial configurations and co-occurrence relations.
BibRef
Zou, Z.J.[Zi-Jun],
Koga, H.[Hisashi],
Spatially Aware Enhancement of BoVW-Based Image Retrieval Exploiting a
Saliency Map,
CAIP15(II:73-84).
Springer DOI
1511
BibRef
Ionescu, R.T.[Radu Tudor],
Popescu, M.[Marius],
Have a SNAK. Encoding Spatial Information with the Spatial
Non-alignment Kernel,
CIAP15(I:97-108).
Springer DOI
1511
Embed spatial information in a kernel.
BibRef
Varadarajan, K.M.[Karthik Mahesh],
Vincze, M.[Markus],
4D Space-Time Mereotopogeometry-Part Connectivity Calculus for Visual
Object Representation,
ICPR14(4316-4321)
IEEE DOI
1412
Pattern recognition. Relations between regions.
BibRef
Cai, X.[Xiao],
Wang, H.[Hua],
Huang, H.[Heng],
Ding, C.[Chris],
Simultaneous Image Classification and Annotation via Biased Random Walk
on Tri-relational Graph,
ECCV12(VI: 823-836).
Springer DOI
1210
BibRef
Zhang, L.M.[Lu-Ming],
Song, M.L.[Ming-Li],
Sun, L.[Li],
Liu, X.[Xiao],
Wang, Y.T.[Yin-Ting],
Tao, D.C.[Da-Cheng],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
Spatial graphlet matching kernel for recognizing aerial image
categories,
ICPR12(2813-2816).
WWW Link.
1302
BibRef
Wang, H.[Hua],
Huang, H.[Heng],
Ding, C.[Chris],
Image annotation using bi-relational graph of images and semantic
labels,
CVPR11(793-800).
IEEE DOI
1106
BibRef
Earlier:
Image Categorization Using Directed Graphs,
ECCV10(III: 762-775).
Springer DOI
1009
BibRef
Earlier:
Image annotation using multi-label correlated Green's function,
ICCV09(2029-2034).
IEEE DOI
0909
BibRef
Morales-González, A.[Annette],
García-Reyes, E.[Edel],
Assessing the Role of Spatial Relations for the Object Recognition Task,
CIARP10(549-556).
Springer DOI
1011
Use Spatial relations.
BibRef
Zheng, Y.B.[Ying-Bin],
Lu, H.[Hong],
Jin, C.[Cheng],
Xue, X.Y.[Xiang-Yang],
Incorporating Spatial Correlogram into Bag-of-Features Model for Scene
Categorization,
ACCV09(I: 333-342).
Springer DOI
0909
Add spatial information. Bag of features, histogram of features in image.
Add: distance distribution of pairwise interest regions.
BibRef
Zhang, Z.M.[Zi-Ming],
Li, Z.N.[Ze-Nian],
Drew, M.S.[Mark S.],
Feature correspondence with constrained global spatial structures,
ICIP09(177-180).
IEEE DOI
0911
BibRef
Tauber, Z.[Zinovi],
Li, Z.N.[Ze-Nian],
Drew, M.S.[Mark S.],
Spatial Topology Graphs for Feature-Minimal Correspondence,
CRV07(432-439).
IEEE DOI
0705
BibRef
Marszaek, M.[Marcin],
Schmid, C.[Cordelia],
Spatial Weighting for Bag-of-Features,
CVPR06(II: 2118-2125).
IEEE DOI
0606
Image is an orderless collection of features.
BibRef
Lazebnik, S.[Svetlana],
Schmid, C.[Cordelia],
Ponce, J.[Jean],
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing
Natural Scene Categories,
CVPR06(II: 2169-2178).
IEEE DOI
PDF File.
0606
Award, Longuet-Higgins. (after 10 years).
For data:
See also University of Illinois Datasets.
BibRef
Aksoy, S.[Selim],
Modeling of Remote Sensing Image Content Using Attributed Relational
Graphs,
SSPR06(475-483).
Springer DOI
0608
BibRef
Han, D.I.[Dong-Il],
You, B.J.[Bum-Jae],
Kim, Y.S.[Yong Se],
Suh, I.H.[Il Hong],
A Generic Shape Matching with Anchoring of Knowledge Primitives of
Object Ontology,
ICIAR05(473-480).
Springer DOI
0509
Assemblies of functional features and spatial relations.
BibRef
Feng, J.,
Boyce, J.F.,
Object Recognition Using Relational Clique and Cycle Mappings,
ICPR88(I: 313-315).
IEEE DOI
BibRef
8800
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Matching, Neural Networks, Hopfield Networks .