-
3
-
-
70450175499
-
Learning from ambiguously labeled images
-
Cour, T., Sapp, B., Jordan, C., Taskar, B.: Learning from ambiguously labeled images. In: Proc. CVPR (2009)
-
Proc. CVPR (2009)
-
-
Cour, T.1
Sapp, B.2
Jordan, C.3
Taskar, B.4
-
4
-
-
77956009019
-
Talking pictures: Temporal grouping and dialog-supervised person recognition
-
Cour, T., Sapp, B., Nagle, A., Taskar, B.: Talking pictures: Temporal grouping and dialog-supervised person recognition. In: Proc. CVPR (2010)
-
Proc. CVPR (2010)
-
-
Cour, T.1
Sapp, B.2
Nagle, A.3
Taskar, B.4
-
5
-
-
77956555219
-
A conditional random field for multiple-instance learning
-
Deselaers, T., Ferrari, V.: A conditional random field for multiple-instance learning. In: Proc. ICML (2010)
-
Proc. ICML (2010)
-
-
Deselaers, T.1
Ferrari, V.2
-
6
-
-
0030649484
-
Solving the multiple instance problem with axis-parallel rectangles
-
Dietterich, T.G., Lathrop, R.H., Lozano-Pérez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence 89(1-2), 31-71 (1997)
-
(1997)
Artificial Intelligence
, vol.89
, Issue.1-2
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Pérez, T.3
-
8
-
-
62949172236
-
Taking the bite out of automatic naming of characters in TV video
-
Everingham, M., Sivic, J., Zisserman, A.: Taking the bite out of automatic naming of characters in TV video. Image and Vision Computing 27(5) (2009)
-
(2009)
Image and Vision Computing
, vol.27
, Issue.5
-
-
Everingham, M.1
Sivic, J.2
Zisserman, A.3
-
11
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
Friedman, J., Hastie, T., Tibshirani., R.: Additive logistic regression: a statistical view of boosting. The Annals of Statistics 28(2), 337-374 (2000)
-
(2000)
The Annals of Statistics
, vol.28
, Issue.2
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
13
-
-
4444252785
-
Multi-instance kernels
-
Gärtner, T., Flach, P.A., Kowalczyk, A., Smola, A.J.: Multi-instance kernels. In: Proc. ICML (2002)
-
Proc. ICML (2002)
-
-
Gärtner, T.1
Flach, P.A.2
Kowalczyk, A.3
Smola, A.J.4
-
15
-
-
84898935332
-
A framework for multiple-instance learning
-
Maron, O., Lozano-Pérez, T.: A framework for multiple-instance learning. In: Advances NIPS (1998)
-
(1998)
Advances NIPS
-
-
Maron, O.1
Lozano-Pérez, T.2
-
16
-
-
77956005954
-
On the design of loss functions for classification: Theory, robustness to outliers, and SavageBoost
-
Masnadi-Shirazi, H., Vasconcelos, N.: On the design of loss functions for classification: theory, robustness to outliers, and SavageBoost. In: Advances NIPS (2009)
-
(2009)
Advances NIPS
-
-
Masnadi-Shirazi, H.1
Vasconcelos, N.2
-
19
-
-
45549083257
-
Multiple instance boosting for object detection
-
Viola, P., Platt, J., Zhang, C.: Multiple instance boosting for object detection. In: Advances NIPS (2006)
-
(2006)
Advances NIPS
-
-
Viola, P.1
Platt, J.2
Zhang, C.3
-
20
-
-
56449086489
-
Adaptive p-posterior mixture-model kernels for multiple instance learning
-
Wang, H.Y., Yang, Q., Zha, H.: Adaptive p-posterior mixture-model kernels for multiple instance learning. In: Proc. ICML (2008)
-
Proc. ICML (2008)
-
-
Wang, H.Y.1
Yang, Q.2
Zha, H.3
-
21
-
-
84898869815
-
Anisotropic Huber-L1 optical flow
-
Werlberger, M., Trobin, W., Pock, T., Wedel, A., Cremers, D., Bischof, H.: Anisotropic Huber-L1 optical flow. In: Proc. BMVC (2009)
-
Proc. BMVC (2009)
-
-
Werlberger, M.1
Trobin, W.2
Pock, T.3
Wedel, A.4
Cremers, D.5
Bischof, H.6
|