13.3.8.4 Bayesian Networks, Bayes Nets

Binford, T.O., Levitt, T.S., and Mann, W.B.,
Bayesian Inference in Model-Based Machine Vision,
Uncertainty in AI(3), 1989, pp. XX-YY. Levitt, Kanal and Lemmer (Eds.), BibRef 8900 North HollandPreliminary version of the previous paper. BibRef

Binford, T.O.[Thomas O.], and Mann, W.B.[Wallace B.],
Probabilities for Bayesian Networks in Vision,
ARPA94(I:633-643). BibRef 9400

Mann, W.B., and Binford, T.O.,
An Example of 3-D Interpretation of Images Using Bayesian Networks,
DARPA92(793-801). Generalized Cylinder. Matching, 3-D. BibRef 9200

Levitt, T.S., Binford, T.O., Ettinger, G.J., and Gelband, P.,
Probability-Based Control for Computer Vision,
DARPA89(355-369). Probability. Implementation of recognition using Bayesian networks. BibRef 8900

Binford, T.O., Levitt, T.S.,
Evidential reasoning for object recognition,
PAMI(25), No. 7, July 2003, pp. 837-851.
IEEE Abstract. 0307
Key to vision is to match generic models to the scene. Object centered models with generic model classes. BibRef

Goldszmidt, M., Morris, P., Pearl, J.,
A maximum entropy approach to nonmonotonic reasoning,
PAMI(15), No. 3, March 1993, pp. 220-232.
IEEE Abstract.
WWW Version. 0401
BibRef

Dagum, P., Chavez, R.M.,
Approximating probabilistic inference in Bayesian belief networks,
PAMI(15), No. 3, March 1993, pp. 246-255.
IEEE Abstract.
WWW Version. 0401
BibRef

Olesen, K.G.,
Causal probabilistic networks with both discrete and continuous variables,
PAMI(15), No. 3, March 1993, pp. 275-279.
IEEE Abstract.
WWW Version. 0401
BibRef

Gregor, J., Thomason, M.G.,
Hybrid pattern recognition using Markov networks,
PAMI(15), No. 6, June 1993, pp. 651-656.
IEEE Abstract.
WWW Version. 0401
BibRef

Kumar, V.P., Desai, U.B.,
Image Interpretation Using Bayesian Networks,
PAMI(18), No. 1, January 1996, pp. 74-77.
IEEE Abstract.
WWW Version. Bayes Nets. See also Joint segmentation and image interpretation. BibRef 9601

Larranaga, P., Poza, M., Yurramendi, Y., Murga, R.H., Kuijpers, C.M.H.,
Structure Learning of Bayesian Networks By Genetic Algorithms: A Performance Analysis of Control Parameters,
PAMI(18), No. 9, September 1996, pp. 912-926.
IEEE Abstract.
WWW Version. Bayes Nets. Genetic Algorithms. Performance Analysis. BibRef 9609

Tsai, W.H., and Fu, K.S.,
A Pattern Deformation Model and Bayes Error-Correcting Recognition System,
SMC(9), No. 12, December 1979, pp. 745-756. Bayes Nets. BibRef 7912

Cowell, R.G.,
On Compatible Priors for Bayesian Networks,
PAMI(18), No. 9, September 1996, pp. 901-911.
IEEE Abstract.
WWW Version. Bayes Nets. Graph Structures. BibRef 9609

Carstensen, J.M.,
An Active Lattice Model in a Bayesian Framework,
CVIU(63), No. 2, March 1996, pp. 380-387. Bayes Nets.
WWW Version. BibRef 9603

Szeliski, R.S.[Richard Stephen],
Bayesian Modeling of Uncertainty in Low-Level Vision,
IJCV(5), No. 3, December 1990, pp. 271-302.
Springer DOI Link BibRef 9012
And: Hingham MA: KluwerAcademic, September 1989, ISBN 0-7923-9039-3
WWW Version. BibRef
And: CMU-CS-TR-88-169, August 1988. BibRef Ph.D.Thesis (CS), 1989. Uncertainty. BibRef

Corridoni, J.M., del Bimbo, A., Landi, L.,
3D Object Classification Using Multiobject Kohonen Networks,
PR(29), No. 6, June 1996, pp. 919-935.
WWW Version. 9606
BibRef

Fairwood, R.C., Barreau, G.,
A Belief Network for the Recognition of 3D Geometric Primitives,
CIAP91(414-421). BibRef 9100

Abdel-Mottaleb, M., Rosenfeld, A.,
Inexact Bayesian Estimation,
PR(25), No. 6, June 1992, pp. 641-646.
WWW Version. BibRef 9206

Abdel-Mottaleb, M., Rosenfeld, A.,
Qualitative Bayesian Estimation Of Digital Signals And Images,
PR(25), No. 11, November 1992, pp. 1371-1380.
WWW Version. BibRef 9211

Liau, C.J.[Churn-Jung], and Lin, B.I.P.[Bertrand I-Peng],
Possibilistic Reasoning: A Mini-Survey and Uniform Semantics,
AI(88), No. 1-2, December 1996, pp. 163-193.
WWW Version. 9701
BibRef

Kwoh, C.K.[Chee-Keong], and Gillies, D.F.[Duncan Fyfe],
Using Hidden Nodes in Bayesian Networks,
AI(88), No. 1-2, December 1996, pp. 1-38.
WWW Version. 9701
BibRef

Poole, D.[David],
Probabilistic Conflicts in a Search Algorithm for Estimating Posterior Probabilities in Bayesian Networks,
AI(88), No. 1-2, December 1996, pp. 69-100.
WWW Version. 9701
BibRef

Kleiter, G.D.[Gernot D.],
Propagating Imprecise Probabilities in Bayesian Networks,
AI(88), No. 1-2, December 1996, pp. 143-161.
WWW Version. 9701
BibRef

Zhang, N.L.W.[Nevin Lian-Wen],
Irrelevance and Parameter Learning in Bayesian Networks,
AI(88), No. 1-2, December 1996, pp. 359-373.
WWW Version. 9701
BibRef

van Engelen, R.A.,
Approximating Bayesian Belief Networks By Arc Removal,
PAMI(19), No. 8, August 1997, pp. 916-920.
IEEE Abstract.
WWW Version. 9709
BibRef

Pynadath, D.V., Wellman, M.P.,
Generalized Queries on Probabilistic Context-Free Grammars,
PAMI(20), No. 1, January 1998, pp. 65-77.
IEEE Abstract.
WWW Version. 9803
BibRef

Lam, W.,
Bayesian Network Refinement Via Machine Learning Approach,
PAMI(20), No. 3, March 1998, pp. 240-251.
IEEE Abstract.
WWW Version. 9805
General Bayesian network paper. BibRef

Nagy, G., Xu, Y.H.,
Bayesian Subsequence Matching and Segmentation,
PRL(18), No. 11-13, November 1997, pp. 1117-1124. 9806
BibRef

Williams, M.L.[Mark L.], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Multiple Graph Matching with Bayesian-Inference,
PRL(18), No. 11-13, November 1997, pp. 1275-1281. 9806
BibRef
Earlier:
Multi-sensor fusion with Bayesian inference,
CAIP97(25-32).
WWW Version. 9709
BibRef

Calder, B.R., Linnett, L.M., Carmichael, D.R.,
Bayesian Approach to Object Detection in Sidescan Sonar,
VISP(145), No. 3, June 1998, pp. 221-228. 9808
BibRef
Earlier:
Constrained Image Restoration with a Multinomial Prior,
ICIP97(I: 259-262).
IEEE DOI Link BibRef

Roberts, S.J.,
Independent Component Analysis: Source Assessment and Separation, a Bayesian Approach,
VISP(145), No. 3, June 1998, pp. 149-154. 9808
BibRef

Foresti, G.L.[Gian Luca], Pieroni, G.[Goffredo],
Exploiting Neural Trees in Range Image Understanding,
PRL(19), No. 9, 31 July 1998, pp. 869-878. BibRef 9807

Wong, M.L.[Man Leung], Lam, W.[Wai], Leung, K.S.[Kwong Sak],
Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks,
PAMI(21), No. 2, February 1999, pp. 174-178.
IEEE Abstract.
WWW Version. BibRef 9902

Peña, J.M., Lozano, J.A., Larrañaga, P.,
Learning Bayesian networks for clustering by means of constructive induction,
PRL(20), No. 11-13, November 1999, pp. 1219-1230. 0001
BibRef

Peña, J.M., Lozano, J.A., Larrañaga, P.,
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering,
PRL(21), No. 6-7, June 2000, pp. 779-786. 0006
BibRef

Santafe, G., Lozano, J.A., Larranaga, P.,
Bayesian Model Averaging of Naive Bayes for Clustering,
SMC-B(36), No. 5, October 2006, pp. 1149-1161.
IEEE DOI Link 0609
BibRef

Peña, J.M.[Jose M.], Björkegren, J.[Johan], Tegnér, J.[Jesper],
Learning dynamic Bayesian network models via cross-validation,
PRL(26), No. 14, 15 October 2005, pp. 2295-2308.
WWW Version. 0510
BibRef

Larsen, R.[Rasmus],
3-D Contextual Bayesian Classifiers,
IP(9), No. 3, March 2000, pp. 518-524.
IEEE DOI Link 0003
BibRef
Earlier:
A 3-D Contextual Bayesian Classifier,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Oswald, N.[Norbert], Levi, P.[Paul],
Cooperative object recognition,
PRL(22), No. 12, October 2001, pp. 1273-1282.
HTML Version. 0108
BibRef
Earlier:
Cooperative vision in a multi-agent architecture,
CIAP97(I: 709-716).
WWW Version. 9709
Integrate multiple hypotheses from different observers. BibRef

Gámez, J.A.[José A.], Puerta, J.M.[José M.],
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization,
PRL(23), No. 1-3, January 2002, pp. 261-277.
HTML Version. 0201
BibRef

Olesen, K.G., Madsen, A.L.,
Maximal Prime Subgraph Decomposition of Bayesian Networks,
SMC-B(32), No. 1, February 2002, pp. 21-31.
IEEE Top Reference. 0202
BibRef

Marengoni, M.[Mauricio], Hanson, A.R.[Allen R.], Zilberstein, S.[Shlomo], Riseman, E.M.,
Decision making and uncertainty management in a 3D reconstruction system,
PAMI(25), No. 7, July 2003, pp. 852-858.
IEEE Abstract. 0307
BibRef
Earlier:
And:
Cost and Information-Driven Algorithm Selection for Vision Systems,
ICIAR04(I: 519-529).
WWW Version. 0409
BibRef
Control in a 3D Reconstruction System using Selective Perception,
ICCV99(1229-1236).
IEEE DOI Link High level control of vision algorithms using Bayesian networks. BibRef

Bowden, R.[Richard],
Special Issue Introduction, Bayesian Analysis,
IVC(21), No. 9, September 2003, pp. Page 841.
WWW Version. 0308
BibRef

Bromiley, P.A., Thacker, N.A., Scott, M.L.J., Pokric, M., Lacey, A.J., Cootes, T.F.,
Bayesian and non-Bayesian probabilistic models for medical image analysis,
IVC(21), No. 9, September 2003, pp. 851-864.
WWW Version. 0308
BibRef

Cazorla, M.A., Escolano, F.,
Two bayesian methods for junction classification,
IP(12), No. 3, March 2003, pp. 317-327.
IEEE DOI Link 0301
BibRef

Knill, D.C.[David C.], Friedman, W.T.[William T.], Geisler, W.S.[Wilson S.],
Bayesian and Statistical Approaches to Vision,
JOSA-A(20), No. 7, July 2003, pp. 1232-1233.
WWW Version. 0307
BibRef

Mohammad-Djafari, A.[Ali],
Bayesian inference for inverse problems in signal and image processing and applications,
IJIST(16), No. 5, 2006, pp. 209-214.
WWW Version. 0704
BibRef

Mohammad-Djafari, A.[Ali], Féron, O.[Olivier],
Bayesian approach to change points detection in time series,
IJIST(16), No. 5, 2006, pp. 215-221.
WWW Version. 0704
BibRef

Leibe, B.[Bastian], Ettlin, A.[Alan], Schiele, B.[Bernt],
Learning semantic object parts for object categorization,
IVC(26), No. 1, 1 January 2008, pp. 15-26.
WWW Version. 0711
Object recognition; Object categorization; Part-based representations; Semantic; Bayesian networks BibRef

Robin, A., Le Hégarat-Mascle, S., Moisan, L.[Lionel],
Unsupervised Subpixelic Classification Using Coarse-Resolution Time Series and Structural Information,
GeoRS(46), No. 5, May 2008, pp. 1359-1374.
IEEE DOI Link 0804
BibRef

Kallel, A.[Abdelaziz], Le Hégarat-Mascle, S.[Sylvie], Hubert-Moy, L., Ottlé, C.,
Fusion of Vegetation Indices Using Continuous Belief Functions and Cautious-Adaptive Combination Rule,
GeoRS(46), No. 5, May 2008, pp. 1499-1513.
IEEE DOI Link 0804
BibRef

Le Hégarat-Mascle, S.[Sylvie], Kallel, A.[Abdelaziz], Descombes, X.[Xavier],
Use of Ant Colony Optimization for Finding Neighborhoods in Image Non-stationary Markov Random Field Classification,
PReMI07(279-286).
Springer DOI Link 0712
BibRef

Zhang, X.X.[Xiao-Xia], Tang, L.X.[Li-Xin],
A new hybrid ant colony optimization algorithm for the vehicle routing problem,
PRL(30), No. 9, 1 July 2009, pp. 848-855.
Elsevier DOI Link
WWW Version. 0905
Scatter search; Ant colony optimization; Cyclic transfer; Hybrid ant colony optimization algorithm BibRef

Ferreira, J.F.[João Filipe], Pinho, C.[Cátia], Dias, J.[Jorge],
Active Exploration Using Bayesian Models for Multimodal Perception,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef

Tsutsui, S.[Shigeyoshi],
Cunning Ant System for Quadratic Assignment Problem with Local Search and Parallelization,
PReMI07(269-278).
Springer DOI Link 0712
BibRef

Gao, R.X.[Ru-Xin], Wu, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun], Sang, N.[Nong],
Bayesian Inference for Layer Representation with Mixed Markov Random Field,
EMMCVPR07(213-224).
Springer DOI Link 0708
BibRef

Cruz-Ramírez, N.[Nicandro], Acosta-Mesa, H.G.[Héctor-Gabriel], Barrientos-Martínez, R.E.[Rocío-Erandi], Nava-Fernández, L.A.[Luis-Alonso],
Diagnosis of Chronic Idiopathic Inflammatory Bowel Disease Using Bayesian Networks,
CIARP06(706-715).
Springer DOI Link 0611
BibRef

Hwang, K.S.[Keum-Sung], Cho, S.B.[Sung-Bae],
Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network,
ACIVS06(1143-1150).
Springer DOI Link 0609
BibRef

Im, S.B.[Seung-Bin], Cho, S.B.[Sung-Bae],
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform,
ACIVS06(1080-1087).
Springer DOI Link 0609
Extract features, recognize with Bayesian network. BibRef

Matos, L.N.[Leonardo Nogueira], de Carvalho, J.M.[Joao Marques],
Combining global and local classifiers with Bayesian network,
ICPR06(III: 1212-1215).
WWW Version. 0609
BibRef
And: ICPR06(IV: 952).
WWW Version. 0609
BibRef

Palenichka, R.M.[Roman M.], Zaremba, M.B.[Marek B.],
Perceptual Knowledge Extraction Using Bayesian Networks of Salient Image Objects,
ICPR06(III: 1216-1219).
WWW Version. 0609
BibRef
And: ICPR06(IV: 953).
WWW Version. 0609
BibRef

Zografos, V.[Vasileios], Buxton, B.F.[Bernard F.],
Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics,
ICIAR05(407-414).
Springer DOI Link 0509
BibRef

Zhou, Y.[Yi], Gu, L.[Lie], Zhang, H.J.[Hong-Jiang],
Bayesian Tangent Shape Model: Estimating Shape and Pose Parameters Via Bayesian Inference,
CVPR03(I: 109-116).
IEEE Abstract. 0307
BibRef

Grauman, K., Shakhnarovich, G., Darrell, T.J.,
A Bayesian approach to image-based visual hull reconstruction,
CVPR03(I: 187-194).
IEEE Abstract. 0307
BibRef

Kersten, D.[Daniel],
Object Perception: Generative Image Models and Bayesian Inference,
BMCV02(207 ff.).
HTML Version. 0303
BibRef

Garg, A., Pavlovic, V., Huang, T.S.,
Bayesian networks as ensemble of classifiers,
ICPR02(II: 779-784).
IEEE DOI Link 0211
BibRef

Piater, J.H.[Justus H.], Grupen, R.A.[Roderic A.],
Toward Learning Visual Discrimination Strategies,
CVPR99(I: 410-415).
IEEE Abstract.
WWW Version. BibRef 9900
And:
Learning Visual Recognition With Bayesian Networks,
UMassCS TR 99-43, March, 1999
Postscript Version. Learning features on simple objects. BibRef

Scalzo, F.[Fabien], Piater, J.H.[Justus H.],
Unsupervised Learning of Dense Hierarchical Appearance Representation,
ICPR06(II: 395-398).
WWW Version. 0609
BibRef
Earlier:
Statistical Learning of Visual Feature Hierarchies,
LCV05(III: 44-44).
IEEE DOI Link 0507
BibRef

Jodogne, S., Scalzo, F., Piater, J.H.,
Task-Driven Learning of Spatial Combinations of Visual Features,
LCV05(III: 48-48).
IEEE DOI Link 0507
BibRef

Piater, J.H., Grupen, R.A.,
Feature Learning for Recognition with Bayesian Networks,
ICPR00(Vol I: 17-20).
IEEE DOI Link
HTML Version. 0009
BibRef

Ritter, G., Gallegos, M.T.,
A Bayesian Approach to Object Identification in Pattern Recognition,
ICPR00(Vol II: 418-421).
IEEE DOI Link
HTML Version. 0009
BibRef

Pavlovic, V.[Vladimir], Frey, B.J.[Brendan J.], Huang, T.S.[Thomas S.],
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks,
CVPR99(II: 609-615).
IEEE Abstract.
WWW Version. BibRef 9900

Krebs, B.[Bjoern], Wahl, F.M.,
Automatic Generation of Bayesian Nets for 3D Object Recognition,
ICPR98(Vol I: 126-128).
IEEE DOI Link 9808
Applies to related curve matching paper? BibRef

Krebs, B., Burkhardt, M., Wahl, F.M.,
A Bayesian network for 3d object recognition in range data,
CAIP97(361-368).
WWW Version. 9709
BibRef

Krebs, B., Burkhardt, M., Korn, B.,
Handling uncertainty in 3-D object recognition using Bayesian networks,
ECCV98(II: 782).
WWW Version. BibRef 9800

Krebs, B., Korn, B., and Burkhardt, M.,
A Task Driven 3D Object Recognition System Using Bayesian Networks,
ICCV98(527-532).
IEEE DOI Link BibRef 9800

Huang, T.[Timothy], Russell, S.[Stuart],
Object Identification in a Bayesian Context,
IJCAI97(1276-1282). BibRef 9700

Brown, C.M.[Christopher M.], Marengoni, M.[Mauricio], Kardaras, G.[George],
Bayes Nets for Selective Perception and Data Fusion,
SPIE(2368), 1994, pp. 117-127. BibRef 9400

Wu, H.L., Cameron, A.,
A Bayesian Decision Theoretic Approach for Adaptive Goal-Directed Sensing,
ICCV90(563-567).
IEEE DOI Link BibRef 9000

Syn, M.H.[Michael H.], and Prager, R.W.[Richard W.],
Bayesian Registration of Models Using FEM Eigenmodes,
Cambridge University1995. Technical Report CUED/F-INFENG/TR213 Engineering Department Cambridge England. Registration of organ images.
Postscript Version. BibRef 9500

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Edit Distance, Tree-Edit Distance .