-
2
-
-
84874578903
-
Generative models for labeling multi-object configurations in images
-
Springer Berlin
-
Amit, Y., & Trouvé, A. (2007). Generative models for labeling multi-object configurations in images. In J. Ponce, et al. (Ed.), Toward category-level object recognition. Berlin: Springer.
-
(2007)
Toward Category-level Object Recognition
-
-
Amit, Y.1
Trouvé, A.2
Ponce, J.3
-
3
-
-
0041876117
-
Matching words and pictures
-
Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D. M., & Jordan, M. I. (2003). Matching words and pictures. Journal of Machine Learning Research, 3, 1107-1135.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1107-1135
-
-
Barnard, K.1
Duygulu, P.2
Forsyth, D.3
De Freitas, N.4
Blei, D.M.5
Jordan, M.I.6
-
4
-
-
0036538619
-
Shape matching and object recognition using shape contexts
-
4
-
Belongie, S., Malik, J., & Puzicha, J. (2002). Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4), 509-522.
-
(2002)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.24
, pp. 509-522
-
-
Belongie, S.1
Malik, J.2
Puzicha, J.3
-
5
-
-
84898937050
-
Compositionality, MDL priors, and object recognition
-
MIT Press Cambridge
-
Bienenstock, E., Geman, S., & Potter, D. (1997). Compositionality, MDL priors, and object recognition. In Neural information processing systems 9 (pp. 838-844). Cambridge: MIT Press.
-
(1997)
Neural Information Processing Systems 9
, pp. 838-844
-
-
Bienenstock, E.1
Geman, S.2
Potter, D.3
-
6
-
-
0141607824
-
Latent Dirichlet allocation
-
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
7
-
-
0042004575
-
Class-specific, top-down segmentation
-
Borenstein, E., & Ullman, S. (2002). Class-specific, top-down segmentation. In European conference on computer vision (Vol. 2, pp. 109-122).
-
(2002)
European Conference on Computer Vision
, vol.2
, pp. 109-122
-
-
Borenstein, E.1
Ullman, S.2
-
10
-
-
0002205556
-
Rao-Blackwellisation of sampling schemes
-
1
-
Casella, G., & Robert, C. P. (1996). Rao-Blackwellisation of sampling schemes. Biometrika, 83(1), 81-94.
-
(1996)
Biometrika
, vol.83
, pp. 81-94
-
-
Casella, G.1
Robert, C.P.2
-
12
-
-
2142671856
-
An ANOVA model for dependent random measures
-
465
-
De Iorio, M., Müller, P., Rosner, G. L., & MacEachern, S. N. (2004). An ANOVA model for dependent random measures. Journal of the American Statistical Association, 99(465), 205-215.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 205-215
-
-
De Iorio, M.1
Müller, P.2
Rosner, G.L.3
MacEachern, S.N.4
-
13
-
-
0023710206
-
Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
-
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics, 44, 837-845.
-
(1988)
Biometrics
, vol.44
, pp. 837-845
-
-
Delong, E.R.1
Delong, D.M.2
Clarke-Pearson, D.L.3
-
16
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
Fei-Fei, L., Fergus, R., & Perona, P. (2004). Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. In CVPR workshop on generative model based vision.
-
(2004)
CVPR Workshop on Generative Model Based Vision
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
17
-
-
33745839880
-
Learning object categories from Google's image search
-
Fergus, R., Fei-Fei, L., Perona, P., & Zisserman, A. (2005). Learning object categories from Google's image search. In International conference on computer vision (Vol. 2, pp. 1816-1823).
-
(2005)
International Conference on Computer Vision
, vol.2
, pp. 1816-1823
-
-
Fergus, R.1
Fei-Fei, L.2
Perona, P.3
Zisserman, A.4
-
21
-
-
24644441776
-
Bayesian nonparametric spatial modeling with Dirichlet process mixing
-
471
-
Gelfand, A. E., Kottas, A., & MacEachern, S. N. (2005). Bayesian nonparametric spatial modeling with Dirichlet process mixing. Journal of the American Statistical Association, 100(471), 1021-1035.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 1021-1035
-
-
Gelfand, A.E.1
Kottas, A.2
MacEachern, S.N.3
-
22
-
-
0004012196
-
-
Chapman & Hall London
-
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian data analysis. London: Chapman & Hall.
-
(2004)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
24
-
-
5044223520
-
Multiscale conditional random fields for image labeling
-
He, X., Zemel, R. S., & Carreira-Perpiñán, M. A. (2004). Multiscale conditional random fields for image labeling. In IEEE conference on computer vision and pattern recognition (Vol. 2, pp. 695-702).
-
(2004)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 695-702
-
-
He, X.1
Zemel, R.S.2
Carreira-Perpiñán, M.A.3
-
28
-
-
0036661094
-
Dirichlet prior sieves in finite normal mixtures
-
Ishwaran, H., & Zarepour, M. (2002). Dirichlet prior sieves in finite normal mixtures. Statistica Sinica, 12, 941-963.
-
(2002)
Statistica Sinica
, vol.12
, pp. 941-963
-
-
Ishwaran, H.1
Zarepour, M.2
-
31
-
-
4043129651
-
Graphical models
-
1
-
Jordan, M. I. (2004). Graphical models. Statistical Science, 19(1), 140-155.
-
(2004)
Statistical Science
, vol.19
, pp. 140-155
-
-
Jordan, M.I.1
-
34
-
-
5044231640
-
Learning methods for generic object recognition with invariance to pose and lighting
-
LeCun, Y., Huang, F. J., & Bottou, L. (2004). Learning methods for generic object recognition with invariance to pose and lighting. In IEEE conference on computer vision and pattern recognition (Vol. 2, pp. 97-104).
-
(2004)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 97-104
-
-
Lecun, Y.1
Huang, F.J.2
Bottou, L.3
-
37
-
-
84860624328
-
Efficient unsupervised learning for localization and detection in object categories
-
MIT Press Cambridge
-
Loeff, N., Arora, H., Sorokin, A., & Forsyth, D. (2006). Efficient unsupervised learning for localization and detection in object categories. In Neural information processing systems 18 (pp. 811-818). Cambridge: MIT Press.
-
(2006)
Neural Information Processing Systems 18
, pp. 811-818
-
-
Loeff, N.1
Arora, H.2
Sorokin, A.3
Forsyth, D.4
-
38
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
2
-
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91-110.
-
(2004)
International Journal of Computer Vision
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
39
-
-
3543023776
-
Dependent nonparametric processes
-
American Statistical Association Alexandria
-
MacEachern, S. N. (1999). Dependent nonparametric processes. In Proceedings section on Bayesian statistical science (pp. 50-55). Alexandria: American Statistical Association.
-
(1999)
Proceedings Section on Bayesian Statistical Science
, pp. 50-55
-
-
MacEachern, S.N.1
-
40
-
-
0041416425
-
Robust wide baseline stereo from maximally stable extremal regions
-
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2002). Robust wide baseline stereo from maximally stable extremal regions. In British machine vision conference (pp. 384-393).
-
(2002)
British Machine Vision Conference
, pp. 384-393
-
-
Matas, J.1
Chum, O.2
Urban, M.3
Pajdla, T.4
-
43
-
-
84880739933
-
BLOG: Probabilistic models with unknown objects
-
Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D. L., & Kolobov, A. (2005). BLOG: Probabilistic models with unknown objects. In International joint conference on artificial intelligence 19 (pp. 1352-1359)
-
(2005)
International Joint Conference on Artificial Intelligence
, vol.19
, pp. 1352-1359
-
-
Milch, B.1
Marthi, B.2
Russell, S.3
Sontag, D.4
Ong, D.L.5
Kolobov, A.6
-
45
-
-
0033712893
-
Learning from one example through shared densities on transforms
-
Miller, E. G., Matsakis, N. E., & Viola, P. A. (2000). Learning from one example through shared densities on transforms. In IEEE conference on computer vision and pattern recognition (Vol. 1, pp. 464-471).
-
(2000)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.1
, pp. 464-471
-
-
Miller, E.G.1
Matsakis, N.E.2
Viola, P.A.3
-
46
-
-
84860603224
-
Using the forest to see the trees: A graphical model relating features, objects, and scenes
-
MIT Press Cambridge
-
Murphy, K., Torralba, A., & Freeman, W. T. (2004). Using the forest to see the trees: A graphical model relating features, objects, and scenes. In Neural information processing systems 16. Cambridge: MIT Press.
-
(2004)
Neural Information Processing Systems 16
-
-
Murphy, K.1
Torralba, A.2
Freeman, W.T.3
-
47
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
2
-
Neal, R. M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9(2), 249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 249-265
-
-
Neal, R.M.1
-
48
-
-
0242641721
-
-
Technical Report 621, U.C. Berkeley Department of Statistics, August 2002
-
Pitman, J. (2002). Combinatorial stochastic processes. Technical Report 621, U.C. Berkeley Department of Statistics, August 2002.
-
(2002)
Combinatorial Stochastic Processes
-
-
Pitman, J.1
-
49
-
-
39749092868
-
-
Working Paper 2006-19, Duke Institute of Statistics and Decision Sciences
-
Rodriguez, A., Dunson, D. B., & Gelfand, A. E. (2006). The nested Dirichlet process. Working Paper 2006-19, Duke Institute of Statistics and Decision Sciences.
-
(2006)
The Nested Dirichlet Process
-
-
Rodriguez, A.1
Dunson, D.B.2
Gelfand, A.E.3
-
50
-
-
33745451385
-
The author-topic model for authors and documents
-
AUAI Press Corvallis
-
Rosen-Zvi, M., Griffiths, T., Steyvers, M., & Smyth, P. (2004). The author-topic model for authors and documents. In Uncertainty in artificial intelligence 20 (pp. 487-494). Corvallis: AUAI Press.
-
(2004)
Uncertainty in Artificial Intelligence 20
, pp. 487-494
-
-
Rosen-Zvi, M.1
Griffiths, T.2
Steyvers, M.3
Smyth, P.4
-
51
-
-
33745835982
-
-
Technical Report 2005-025, MIT AI Lab
-
Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2005). LabelMe: A database and web-based tool for image annotation. Technical Report 2005-025, MIT AI Lab.
-
(2005)
LabelMe: A Database and Web-based Tool for Image Annotation
-
-
Russell, B.C.1
Torralba, A.2
Murphy, K.P.3
Freeman, W.T.4
-
52
-
-
0042021603
-
Multidimensional scaling, tree-fitting, and clustering
-
Shepard, R. N. (1980). Multidimensional scaling, tree-fitting, and clustering. Science, 210, 390-398.
-
(1980)
Science
, vol.210
, pp. 390-398
-
-
Shepard, R.N.1
-
53
-
-
0005031076
-
Transformation invariance in pattern recognition: Tangent distance and tangent propagation
-
Springer Berlin
-
Simard, P. Y., LeCun, Y. A., Denker, J. S., & Victorri, B. (1998). Transformation invariance in pattern recognition: Tangent distance and tangent propagation. In B. O. Genevieve & K. R. Müller (Eds.), Neural networks: tricks of the trade (pp. 239-274). Berlin: Springer.
-
(1998)
Neural Networks: Tricks of the Trade
, pp. 239-274
-
-
Simard, P.Y.1
Lecun, Y.A.2
Denker, J.S.3
Victorri, B.4
Genevieve, B.O.5
Müller, K.R.6
-
54
-
-
33845564356
-
Spatial random tree grammars for modeling hierarchal structure in images
-
submitted
-
Siskind, J. M., Sherman, J., Pollak, I., Harper, M. P., & Bouman, C. A. (2004, submitted). Spatial random tree grammars for modeling hierarchal structure in images. IEEE Transactions on Pattern Analysis and Machine Intelligence.
-
(2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence
-
-
Siskind, J.M.1
Sherman, J.2
Pollak, I.3
Harper, M.P.4
Bouman, C.A.5
-
55
-
-
33745938597
-
Discovering objects and their location in images
-
Sivic, J., Russell, B. C., Efros, A. A., Zisserman, A., & Freeman, W. T. (2005). Discovering objects and their location in images. In International conference on computer vision (Vol. 1, pp. 370-377).
-
(2005)
International Conference on Computer Vision
, vol.1
, pp. 370-377
-
-
Sivic, J.1
Russell, B.C.2
Efros, A.A.3
Zisserman, A.4
Freeman, W.T.5
-
58
-
-
33745918022
-
Learning hierarchical models of scenes, objects, and parts
-
Sudderth, E. B., Torralba, A., Freeman, W. T., & Willsky, A. S. (2005). Learning hierarchical models of scenes, objects, and parts. In International conference on computer vision (Vol. 2, pp. 1331-1338).
-
(2005)
International Conference on Computer Vision
, vol.2
, pp. 1331-1338
-
-
Sudderth, E.B.1
Torralba, A.2
Freeman, W.T.3
Willsky, A.S.4
-
59
-
-
33845580696
-
Depth from familiar objects: A hierarchical model for 3D scenes
-
Sudderth, E. B., Torralba, A., Freeman, W. T., & Willsky, A. S. (2006a). Depth from familiar objects: A hierarchical model for 3D scenes. In IEEE conference on computer vision and pattern recognition (Vol. 2, pp. 2410-2417).
-
(2006)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 2410-2417
-
-
Sudderth, E.B.1
Torralba, A.2
Freeman, W.T.3
Willsky, A.S.4
-
60
-
-
80053149752
-
Describing visual scenes using transformed Dirichlet processes
-
MIT Press Cambridge
-
Sudderth, E. B., Torralba, A., Freeman, W. T., & Willsky, A. S. (2006b). Describing visual scenes using transformed Dirichlet processes. In Neural information processing systems 18 (pp. 1297-1304). Cambridge: MIT Press.
-
(2006)
Neural Information Processing Systems 18
, pp. 1297-1304
-
-
Sudderth, E.B.1
Torralba, A.2
Freeman, W.T.3
Willsky, A.S.4
-
61
-
-
33749249312
-
Hierarchical Dirichlet processes
-
476
-
Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2006). Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476), 1566-1581.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 1566-1581
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
-
62
-
-
0017506560
-
Experiments in interpretation-guided segmentation
-
Tenenbaum, J. M., & Barrow, H. G. (1977). Experiments in interpretation-guided segmentation. Artificial Intelligence, 8, 241-274.
-
(1977)
Artificial Intelligence
, vol.8
, pp. 241-274
-
-
Tenenbaum, J.M.1
Barrow, H.G.2
-
64
-
-
5044224293
-
Sharing features: Efficient boosting procedures for multiclass object detection
-
Torralba, A., Murphy, K. P., & Freeman, W. T. (2004). Sharing features: Efficient boosting procedures for multiclass object detection. In IEEE conference on computer vision and pattern recognition (Vol. 2, pp. 762-769).
-
(2004)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 762-769
-
-
Torralba, A.1
Murphy, K.P.2
Freeman, W.T.3
-
65
-
-
17444392134
-
Image parsing: Unifying segmentation, detection, and recognition
-
2
-
Tu, Z., Chen, X., Yuille, A. L., & Zhu, S. C. (2005). Image parsing: Unifying segmentation, detection, and recognition. International Journal of Computer Vision, 63(2), 113-140.
-
(2005)
International Journal of Computer Vision
, vol.63
, pp. 113-140
-
-
Tu, Z.1
Chen, X.2
Yuille, A.L.3
Zhu, S.C.4
-
66
-
-
0036307392
-
Visual features of intermediate complexity and their use in classification
-
7
-
Ullman, S., Vidal-Naquet, M., & Sali, E. (2002). Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 5(7), 682-687.
-
(2002)
Nature Neuroscience
, vol.5
, pp. 682-687
-
-
Ullman, S.1
Vidal-Naquet, M.2
Sali, E.3
|