-
2
-
-
12844249589
-
Learning to detect objects in images via a sparse, part-based representation
-
11
-
Agarwal, S., Awan, A., & Roth, D. (2004). Learning to detect objects in images via a sparse, part-based representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11), 1475-1490.
-
(2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.26
, pp. 1475-1490
-
-
Agarwal, S.1
Awan, A.2
Roth, D.3
-
6
-
-
4444235510
-
-
Support vector machines for multiple-instance learning, Vancouver, BC
-
Andrews, S., Tsochantaridis, I., & Hofmann, T. (2002b). Advances in neural information processing systems: Vol. 15. Support vector machines for multiple-instance learning, Vancouver, BC.
-
(2002)
Advances in Neural Information Processing Systems
, vol.15
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
8
-
-
0035693999
-
Clustering art
-
Hawaii
-
Barnard, K., Duygulu, P., & Forsyth, D. (2001). Clustering art. In IEEE conference on computer vision and pattern Recognition (Vol. II, pp. 434-441), Hawaii.
-
(2001)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 434-441
-
-
Barnard, K.1
Duygulu, P.2
Forsyth, D.3
-
10
-
-
0042440879
-
The effects of segmentation and feature choice in a translation model of object recognition
-
Madison, WI
-
Barnard, K., Duygulu, P., Raghavendra, K. G., Gabbur, P., & Forsyth, D. (2003b). The effects of segmentation and feature choice in a translation model of object recognition. In IEEE conference on computer vision and pattern recognition (Vol. II, pp. 675-682), Madison, WI.
-
(2003)
IEEE Conference on Computer Vision and Pattern Recognition
, vol.2
, pp. 675-682
-
-
Barnard, K.1
Duygulu, P.2
Raghavendra, K.G.3
Gabbur, P.4
Forsyth, D.5
-
11
-
-
24644502276
-
Shape matching and object recognition using low distortion correspondence
-
Berg, A. C., Berg, T. L., & Malik, J. (2005). Shape matching and object recognition using low distortion correspondence. In CVPR.
-
(2005)
CVPR
-
-
Berg, A.C.1
Berg, T.L.2
Malik, J.3
-
14
-
-
84863161940
-
Image categorization by learning and reasoning with regions
-
Chen, Y., & Wang, J. Z. (2004). Image categorization by learning and reasoning with regions. Journal of Machine Learning Research, 5, 913-939.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 913-939
-
-
Chen, Y.1
Wang, J.Z.2
-
15
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
1
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B (Methodological), 39(1), 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B (Methodological)
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
16
-
-
33745118277
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
Washington, DC
-
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. Washington, DC.
-
(2004)
Workshop on Generative-model Based Vision
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
17
-
-
33748319518
-
-
Fellbaum, C., Miller, P. G. A., Tengi, R., & Wakefield, P. (1998). WordNet-a lexical database for English. Available from http://www.cogsci. princeton.edu/~wn.
-
(1998)
WordNet-a Lexical Database for English
-
-
Fellbaum, C.1
Miller, P.G.A.2
Tengi, R.3
Wakefield, P.4
-
19
-
-
0041940256
-
Object class recognition by unsupervised scale-invariant learning
-
Madison, WI
-
Fergus, R., Perona, P., & Zisserman, A. (2003). Object class recognition by unsupervised scale-invariant learning. In IEEE conference on computer vision and pattern recognition. Madison, WI.
-
(2003)
IEEE Conference on Computer Vision and Pattern Recognition
-
-
Fergus, R.1
Perona, P.2
Zisserman, A.3
-
20
-
-
39749192331
-
-
Masters Thesis, University of Arizona, Tucson, AZ
-
Gabbur, P. (2003). Quantitative evaluation of feature sets, segmentation algorithms, and color constancy algorithms using word prediction. Masters Thesis, University of Arizona, Tucson, AZ.
-
(2003)
Quantitative Evaluation of Feature Sets, Segmentation Algorithms, and Color Constancy Algorithms Using Word Prediction
-
-
Gabbur, P.1
-
22
-
-
1542347786
-
Automatic image annotation and retrieval using cross-media relevance models
-
Jeon, J., Lavrenko, V., & Manmatha, R. (2003). Automatic image annotation and retrieval using cross-media relevance models. In SIGIR.
-
(2003)
SIGIR
-
-
Jeon, J.1
Lavrenko, V.2
Manmatha, R.3
-
23
-
-
0023173192
-
A shortest augmenting path algorithm for dense and sparse linear assignment problems
-
Jonker, R., & Volgenant, A. (1987). A shortest augmenting path algorithm for dense and sparse linear assignment problems. Computing, 38, 325-340.
-
(1987)
Computing
, vol.38
, pp. 325-340
-
-
Jonker, R.1
Volgenant, A.2
-
24
-
-
0347596963
-
Similarity-based word sense disambiguation
-
1
-
Karov, Y., & Edelman, S. (1998). Similarity-based word sense disambiguation. Computational Linguistics, 24(1), 41-59.
-
(1998)
Computational Linguistics
, vol.24
, pp. 41-59
-
-
Karov, Y.1
Edelman, S.2
-
25
-
-
24644452540
-
A model for learning the semantics of pictures
-
Lavrenko, V., Manmatha, R., & Jeon, J. (2003). A model for learning the semantics of pictures. In NIPS.
-
(2003)
NIPS
-
-
Lavrenko, V.1
Manmatha, R.2
Jeon, J.3
-
27
-
-
0004082786
-
-
PhD thesis, Massachusetts Institute of Technology
-
Maron, O. (1998). Learning from ambiguity. PhD thesis, Massachusetts Institute of Technology.
-
(1998)
Learning from Ambiguity
-
-
Maron, O.1
-
30
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
Martin, D., Fowlkes, C., Tal, D., & Malik, J. (2001). A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In International conference on computer vision (Vol. II, pp. 416-421).
-
(2001)
International Conference on Computer Vision
, vol.2
, pp. 416-421
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
32
-
-
34248833974
-
Introduction to WordNet: An on-line lexical database
-
4
-
Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. J. (1990). Introduction to WordNet: an on-line lexical database. International Journal of Lexicography, 3(4), 235-244.
-
(1990)
International Journal of Lexicography
, vol.3
, pp. 235-244
-
-
Miller, G.A.1
Beckwith, R.2
Fellbaum, C.3
Gross, D.4
Miller, K.J.5
-
35
-
-
10044258714
-
A faster algorithm for generalized multiple-instance learning
-
Miami Beach, FL
-
Tao, Q., & Scott, S. (2004). A faster algorithm for generalized multiple-instance learning. In Seventeenth annual FLAIRS conference (pp. 550-555), Miami Beach, FL.
-
(2004)
Seventeenth Annual FLAIRS Conference
, pp. 550-555
-
-
Tao, Q.1
Scott, S.2
-
36
-
-
16244377454
-
An extended kernel for generalized multiple-instance learning
-
Tao, Q., Scott, S., Vinodchandran, N. V., Osugi, T. T., & Mueller, B. (2004a). An extended kernel for generalized multiple-instance learning. In IEEE international conference on tools with artificial intelligence.
-
(2004)
IEEE International Conference on Tools with Artificial Intelligence
-
-
Tao, Q.1
Scott, S.2
Vinodchandran, N.V.3
Osugi, T.T.4
Mueller, B.5
-
37
-
-
14344261849
-
SVM-based generalized multiple-instance learning via approximate box counting
-
Banff, AB, Canada
-
Tao, Q., Scott, S. D., & Vinodchandran, N. V. (2004b). SVM-based generalized multiple-instance learning via approximate box counting. In International conference on machine learning (pp. 779-806). Banff, AB, Canada.
-
(2004)
International Conference on Machine Learning
, pp. 779-806
-
-
Tao, Q.1
Scott, S.D.2
Vinodchandran, N.V.3
-
39
-
-
5044224293
-
Sharing features: Efficient boosting procedures for multiclass object detection
-
Washington, DC
-
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. II, pp. 762-769), Washington, DC.
-
(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
-
42
-
-
84944248013
-
Unsupervised learning of models for recognition
-
D. Vernon (Ed.)
-
Weber, M., Welling, M., & Perona, P. (2000). Unsupervised learning of models for recognition. In D. Vernon (Ed.), 6th European conference on computer vision (pp. 18-32).
-
(2000)
6th European Conference on Computer Vision
, pp. 18-32
-
-
Weber, M.1
Welling, M.2
Perona, P.3
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