13.3.8.3 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. IEEE Top Reference. 0307Key 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. IEEE Top Reference.
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. IEEE Top Reference.
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. IEEE Top Reference.
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. IEEE Top Reference.
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. IEEE Top Reference.
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. IEEE Top Reference.
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. IEEE Top Reference.
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. 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. IEEE Top Reference.
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. IEEE Top Reference.
WWW Version. 9803 BibRef

Lam, W.,
Bayesian Network Refinement Via Machine Learning Approach,
PAMI(20), No. 3, March 1998, pp. 240-251.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9805General 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).
WWW Version. 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. IEEE Top Reference.
WWW Version. BibRef 9902

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

Pe�ña, J.M., Lozano, J.A., Larra�ñaga, 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.
WWW Version. 0609 BibRef

Pe�ña, J.M.[Jose M.], Bj�örkegren, J.[Johan], Tegn�ér, 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.
WWW Version. 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. 9709Integrate multiple hypotheses from different observers. BibRef

G�ámez, J.A.[Jos�é A.], Puerta, J.M.[Jos�é 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. IEEE Top Reference. 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).
WWW Version. 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.
WWW Version. 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. 0711Object 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.
WWW Version. 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.
WWW Version. 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 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).
WWW Version. 0609Extract 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).
WWW Version. 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. IEEE Top Reference. 0307 BibRef

Grauman, K., Shakhnarovich, G., Darrell, T.J.,
A Bayesian approach to image-based visual hull reconstruction,
CVPR03(I: 187-194).
IEEE Abstract. IEEE Top Reference. 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).
WWW Version. 0211 BibRef

Piater, J.H.[Justus H.], Grupen, R.A.[Roderic A.],
Toward Learning Visual Discrimination Strategies,
CVPR99(I: 410-415).
IEEE Abstract. IEEE Top Reference.
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).
WWW Version. 0507 BibRef

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

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

Ritter, G., Gallegos, M.T.,
A Bayesian Approach to Object Identification in Pattern Recognition,
ICPR00(Vol II: 418-421).
WWW Version.
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. IEEE Top Reference.
WWW Version. BibRef 9900

Krebs, B.[Bjoern], Wahl, F.M.,
Automatic Generation of Bayesian Nets for 3D Object Recognition,
ICPR98(Vol I: 126-128).
WWW Version. 9808Applies 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).
WWW Version. 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).
WWW Version. BibRef 9000

Syn, M.H.[Michael H.], and Prager, R.W.[Richard W.],
Bayesian Registration of Models Using FEM Eigenmodes,
Technical Report CUED/F-INFENG/TR213 Cambridge UniversityEngineering Department Cambridge England. Registration of organ images.
Postscript Version. BibRef 0000

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