-
1
-
-
12844249589
-
Learning to detect objects in images via a sparse, part-based representation
-
S. Agarwal A. Awan D. Roth 2004 Learning to detect objects in images via a sparse, part-based representation PAMI 26 11 1475 1490
-
(2004)
PAMI
, vol.26
, Issue.11
, pp. 1475-1490
-
-
Agarwal, S.1
Awan, A.2
Roth, D.3
-
2
-
-
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. The Journal of Machine Learning Research, 3.
-
(2003)
The Journal of Machine Learning Research
, pp. 3
-
-
Barnard, K.1
Duygulu, P.2
Forsyth, D.3
De Freitas, N.4
Blei, D.M.5
Jordan, M.I.6
-
6
-
-
0035875343
-
GeneMarkS: A self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions
-
10.1093/nar/29.12.2607
-
J. Besemer A. Lomsadze M. Borodovsky 2001 GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions Nucleic Acids Research 29 12 2607 10.1093/nar/29.12.2607
-
(2001)
Nucleic Acids Research
, vol.29
, Issue.12
, pp. 2607
-
-
Besemer, J.1
Lomsadze, A.2
Borodovsky, M.3
-
11
-
-
84947441494
-
Blobworld: A system for region-based image indexing and retrieval
-
Carson, C., Thomas, M., Belongie, S., Hellerstein, J.M., & Malik, J. (1999). Blobworld: A system for region-based image indexing and retrieval. In Third international conference on visual information systems (pp. 509-516).
-
(1999)
Third International Conference on Visual Information Systems
, pp. 509-516
-
-
Carson, C.1
Thomas, M.2
Belongie, S.3
Hellerstein, J.M.4
Malik, J.5
-
13
-
-
70449605468
-
Toward scalable dataset construction: An active learning approach
-
Collins, B., Deng, J., Li, K., & Fei-Fei, L. (2008). Toward scalable dataset construction: An active learning approach. In Proc. ECCV.
-
(2008)
Proc. ECCV
-
-
Collins, B.1
Deng, J.2
Li, K.3
Fei-Fei, L.4
-
14
-
-
24644524200
-
Visual categorization with bags of keypoints
-
ECCV
-
Csurka, G., Bray, C., Dance, C., & Fan, L. (2004). Visual categorization with bags of keypoints. In Workshop on statistical learning in computer vision, ECCV (pp. 1-22).
-
(2004)
Workshop on Statistical Learning in Computer Vision
, pp. 1-22
-
-
Csurka, G.1
Bray, C.2
Dance, C.3
Fan, L.4
-
17
-
-
0344983284
-
A Bayesian approach to unsupervised one-Shot learning of object categories
-
Nice, France
-
Fei-Fei, L., Fergus, R., & Perona, P. (2003). A Bayesian approach to unsupervised one-Shot learning of object categories. In Proceedings of the 9th international conference on computer vision (pp. 1134-1141). Nice, France.
-
(2003)
Proceedings of the 9th International Conference on Computer Vision
, pp. 1134-1141
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
18
-
-
33745118277
-
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 Workshop on generative-model based vision.
-
(2004)
Workshop on Generative-model Based Vision
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
20
-
-
50649088830
-
Recognizing and learning object categories
-
Fei-Fei, L., Fergus, R., & Torralba, A. (2007). Recognizing and learning object categories. Short course CVPR. http://people.csail.mit.edu/ torralba/shortCourseRLOC/index.html.
-
(2007)
Short Course CVPR
-
-
Fei-Fei, L.1
Fergus, R.2
Torralba, A.3
-
26
-
-
33745839880
-
Learning object categories from Google image search
-
Fergus, R., Fei-Fei, L., Perona, P., & Zisserman, A. (2005b). Learning object categories from Google image search. In Computer vision, 2005. ICCV 2005. Tenth IEEE international conference.
-
(2005)
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference
-
-
Fergus, R.1
Fei-Fei, L.2
Perona, P.3
Zisserman, A.4
-
27
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
0255.62037 10.1214/aos/1176342360 350949
-
T. S. Ferguson 1973 A Bayesian analysis of some nonparametric problems The Annals of Statistics 1 2 209 230 0255.62037 10.1214/aos/1176342360 350949
-
(1973)
The Annals of Statistics
, vol.1
, Issue.2
, pp. 209-230
-
-
Ferguson, T.S.1
-
29
-
-
84983110889
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Springer Berlin
-
Freund, Y., & Schapire, R. E. (1995). A decision-theoretic generalization of on-line learning and an application to boosting. In Computational learning theory: Second European conference, EuroCOLT'95, proceedings (p. 23). Barcelona, Spain, 13-15 March 1995. Berlin: Springer.
-
(1995)
Computational Learning Theory: Second European Conference, EuroCOLT'95, Proceedings Barcelona, Spain 13-15 March 1995
, pp. 23
-
-
Freund, Y.1
Schapire, R.E.2
-
31
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
34
-
-
0030214261
-
Image retrieval using color and shape
-
DOI 10.1016/0031-3203(95)00160-3
-
A. K. Jain A. Vailaya 1996 Image retrieval using color and shape Pattern Recognition 29 8 1233 1244 10.1016/0031-3203(95)00160-3 (Pubitemid 126405513)
-
(1996)
Pattern Recognition
, vol.29
, Issue.8
, pp. 1233-1244
-
-
Jain, A.K.1
Vailaya, A.2
-
36
-
-
0035507681
-
Saliency, scale and image description
-
DOI 10.1023/A:1012460413855
-
T. Kadir M. Brady 2001 Scale, saliency and image description International Journal of Computer Vision 45 2 83 105 0987.68597 10.1023/A:1012460413855 (Pubitemid 33125858)
-
(2001)
International Journal of Computer Vision
, vol.45
, Issue.2
, pp. 83-105
-
-
Kadir, T.1
Brady, M.2
-
37
-
-
5044222632
-
Sequential learning with reusable parts for object detection
-
Johns Hopkins University
-
Krempp, S., Geman, D., & Amit, Y. (2002). Sequential learning with reusable parts for object detection (Technical report). Johns Hopkins University.
-
(2002)
Technical Report
-
-
Krempp, S.1
Geman, D.2
Amit, Y.3
-
38
-
-
5044231640
-
Learning methods for generic object recognition with invariance to pose and lighting
-
LeCun, Y., Huang, F., & Bottou, L. (2004). Learning methods for generic object recognition with invariance to pose and lighting. In Proc. CVPR.
-
(2004)
Proc. CVPR
-
-
Lecun, Y.1
Huang, F.2
Bottou, L.3
-
39
-
-
33646014576
-
Combined object categorization and segmentation with an implicit shape model
-
Prague, Czech Republic
-
Leibe, B., & Schiele, B. (2004). Combined object categorization and segmentation with an implicit shape model. In Proc. workshop on statistical learning in computer vision, Prague, Czech Republic.
-
(2004)
Proc. Workshop on Statistical Learning in Computer Vision
-
-
Leibe, B.1
Schiele, B.2
-
44
-
-
84976702763
-
WordNet: A lexical database for English
-
10.1145/219717.219748
-
G. A. Miller 1995 WordNet: A lexical database for English Communications of the ACM 38 11 39 10.1145/219717.219748
-
(1995)
Communications of the ACM
, vol.38
, Issue.11
, pp. 39
-
-
Miller, G.A.1
-
45
-
-
0002788893
-
A view of the em algorithm that justifies incremental, sparse and other variants
-
M.I. Jordan (eds). Kluwer Academic Norwell
-
Neal, R., & Hinton, G. (1998). A view of the EM algorithm that justifies incremental, sparse and other variants. In M.I. Jordan (Ed.), Learning in graphical models (pp. 355-368). Norwell: Kluwer Academic.
-
(1998)
Learning in Graphical Models
, pp. 355-368
-
-
Neal, R.1
-
47
-
-
77951296501
-
Obj cut
-
IEEE Computer Society Los Alamitos
-
Pawan Kumar, M., Torr, P.H.S., & Zisserman, A. (2005). Obj cut. In Proceedings of the 2005 IEEE computer society conference on computer vision and pattern recognition (Vol. 1, pp. 18-25). Washington, DC, USA, 2005. Los Alamitos: IEEE Computer Society.
-
(2005)
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Washington, DC, USA 2005
, vol.1
, pp. 18-25
-
-
Pawan Kumar, M.1
Torr, P.H.S.2
Zisserman, A.3
-
49
-
-
33745835982
-
-
Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2005) Labelme: a database and web-based tool for image annotation.
-
(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
-
50
-
-
50649094964
-
Harvesting image databases from the web
-
Computer vision, 2007. ICCV 2007
-
Schroff, F., Criminisi, A., & Zisserman, A. (2007). Harvesting image databases from the web. In Computer vision, 2007. ICCV 2007. IEEE 11th international conference.
-
(2007)
IEEE 11th International Conference
-
-
Schroff, F.1
Criminisi, A.2
Zisserman, A.3
-
51
-
-
0000720609
-
A constructive definition of Dirichlet priors
-
0823.62007 1309433
-
J. Sethuraman 1994 A constructive definition of Dirichlet priors Statistica Sinica 4 2 639 650 0823.62007 1309433
-
(1994)
Statistica Sinica
, vol.4
, Issue.2
, pp. 639-650
-
-
Sethuraman, J.1
-
52
-
-
33845565390
-
Discovering object categories in image collections
-
Sivic, J., Russell, B. C., Efros, A., Zisserman, A., & Freeman, W. T. (2005). Discovering object categories in image collections. In Proc. international conference on computer vision.
-
(2005)
Proc. International Conference on Computer Vision
-
-
Sivic, J.1
Russell, B.C.2
Efros, A.3
Zisserman, A.4
Freeman, W.T.5
-
55
-
-
33745918022
-
Learning hierarchical models of scenes, objects, and parts
-
Sudderth, E., Torralba, A., Freeman, W. T., & Willsky, A. (2005b). Learning hierarchical models of scenes, objects, and parts. In Proc. international conference on computer vision.
-
(2005)
Proc. International Conference on Computer Vision
-
-
Sudderth, E.1
Torralba, A.2
Freeman, W.T.3
Willsky, A.4
-
56
-
-
33749249312
-
Hierarchical Dirichlet processes
-
Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2006). Hierarchical Dirichlet processes. Journal of the American Statistical Association.
-
(2006)
Journal of the American Statistical Association
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
-
58
-
-
0033698725
-
Unsupervised learning of models for recognition
-
Weber, M., Welling, M., & Perona, P. (2000). Unsupervised learning of models for recognition. In Proc. European conference on computer vision (Vol. 2, pp. 101-108).
-
(2000)
Proc. European Conference on Computer Vision
, vol.2
, pp. 101-108
-
-
Weber, M.1
Welling, M.2
Perona, P.3
-
60
-
-
34548709821
-
Introduction to a large scale general purpose groundtruth dataset: Methodology, annotation tool, and benchmarks
-
Yao, Z.-Y., Yang, X., & Zhu, S.C. (2007). Introduction to a large scale general purpose groundtruth dataset: methodology, annotation tool, and benchmarks. In 6th int. conf. on EMMCVPR.
-
(2007)
6th Int. Conf. on EMMCVPR
-
-
Yao, Z.-Y.1
Yang, X.2
Zhu, S.C.3
-
61
-
-
0036529784
-
Unifying keywords and visual contents in image retrieval
-
DOI 10.1109/93.998050
-
X. S. Zhou T. S. Huang 2002 Unifying keywords and visual contents in image retrieval Multimedia, IEEE 9 2 23 33 10.1109/93.998050 1915179 (Pubitemid 34550448)
-
(2002)
IEEE Multimedia
, vol.9
, Issue.2
, pp. 23-33
-
-
Zhou, X.S.1
Huang, T.S.2
-
62
-
-
77951175098
-
Semi-supervised learning literature survey
-
University of Wisconsin-Madison
-
Zhu, X. (2006). Semi-supervised learning literature survey. Computer Science, University of Wisconsin-Madison.
-
(2006)
Computer Science
-
-
Zhu, X.1
|