-
1
-
-
0036564449
-
Deriving biased classifiers for better ROC performance
-
H. Blockeel and J. Struyf. Deriving biased classifiers for better ROC performance. Informatica, 26(1):77-84, 2002.
-
(2002)
Informatica
, vol.26
, Issue.1
, pp. 77-84
-
-
Blockeel, H.1
Struyf, J.2
-
3
-
-
0030144897
-
A maximum likelihood stereo algorithm
-
I. J. Cox, S. L. Higorani, S. B. Rao, and B. M. Maggs. A maximum likelihood stereo algorithm. CVIU, 63(3):542-567, 1996.
-
(1996)
CVIU
, vol.63
, Issue.3
, pp. 542-567
-
-
Cox, I.J.1
Higorani, S.L.2
Rao, S.B.3
Maggs, B.M.4
-
4
-
-
34948820133
-
Signal Detection Theory and ROC Analysis
-
Academic Press, New York
-
J. P. Egan. Signal Detection Theory and ROC Analysis. Cognition and Perception. Academic Press, New York, 1975.
-
(1975)
Cognition and Perception
-
-
Egan, J.P.1
-
5
-
-
0036684361
-
Detecting binocular half-occlusions: Empirical comparison of five approaches
-
Aug
-
G. Egnal and R. P. Wildes. Detecting binocular half-occlusions: Empirical comparison of five approaches. IEEE Trans PAMI, 24(8):1127-1133, Aug. 2002.
-
(2002)
IEEE Trans PAMI
, vol.24
, Issue.8
, pp. 1127-1133
-
-
Egnal, G.1
Wildes, R.P.2
-
6
-
-
78149315656
-
Using rule sets to maximize ROC performance
-
T. Fawcett. Using rule sets to maximize ROC performance. In ICDM, pp. 131-138, 2001.
-
(2001)
ICDM
, pp. 131-138
-
-
Fawcett, T.1
-
7
-
-
21244444340
-
Fast unambiguous stereo matching using reliability-based dynamic programming
-
M. Gong and Y.-H. Yang. Fast unambiguous stereo matching using reliability-based dynamic programming. IEEE Trans PAMI, 27(6):998-1003, 2005.
-
(2005)
IEEE Trans PAMI
, vol.27
, Issue.6
, pp. 998-1003
-
-
Gong, M.1
Yang, Y.-H.2
-
8
-
-
0034857389
-
Computing visual correspondence with occlusions using graph cuts
-
V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions using graph cuts. In ICCV, pp. 508-515, 2001.
-
(2001)
ICCV
, pp. 508-515
-
-
Kolmogorov, V.1
Zabih, R.2
-
9
-
-
34948840389
-
Dense stereomatching algorithm performance for view prediction and structure reconstruction
-
J. Kostková, J. Čech, and R. Šára. Dense stereomatching algorithm performance for view prediction and structure reconstruction. In SCM, pp. 101-107, 2003.
-
(2003)
SCM
, pp. 101-107
-
-
Kostková, J.1
Čech, J.2
Šára, R.3
-
10
-
-
24644439329
-
Stratified dense matching for stereopsis in complex scenes
-
J. Kostková and R. Šára. Stratified dense matching for stereopsis in complex scenes. In BMVC, pp. 339-348, 2003.
-
(2003)
BMVC
, pp. 339-348
-
-
Kostková, J.1
Šára, R.2
-
12
-
-
33751566114
-
On machine learning, roc analysis, and statistical tests of significance
-
M. Maloof. On machine learning, roc analysis, and statistical tests of significance. In ICPR, pp. 204-207, 2002.
-
(2002)
ICPR
, pp. 204-207
-
-
Maloof, M.1
-
13
-
-
84949968104
-
Finding the largest unambiguous component of stereo matching
-
R. Šára. Finding the largest unambiguous component of stereo matching. In ECCV, pp. 900-914, 2002.
-
(2002)
ECCV
, pp. 900-914
-
-
Šára, R.1
-
14
-
-
0041939772
-
High-accuracy stereo depth maps using structured light
-
D. Scharstein and R. Szeliski. High-accuracy stereo depth maps using structured light. In CVPR, pp. 195-202, 2003.
-
(2003)
CVPR
, pp. 195-202
-
-
Scharstein, D.1
Szeliski, R.2
-
15
-
-
0036537472
-
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
-
D. Scharstein, R. Szeliski, and R. Zabih. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV, 41(1):1-42, 2002.
-
(2002)
IJCV
, vol.41
, Issue.1
, pp. 1-42
-
-
Scharstein, D.1
Szeliski, R.2
Zabih, R.3
-
16
-
-
33745817089
-
A comparative study of energy minimization methods for Markov random fields
-
R. Szeliski et al. A comparative study of energy minimization methods for Markov random fields. In ECCV, pp. 16-29, 2006.
-
(2006)
ECCV
, pp. 16-29
-
-
Szeliski, R.1
-
17
-
-
0344983321
-
Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters
-
M. F. Tappen and W. T. Freeman. Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters. In ICCV, pp. 900-907, 2003.
-
(2003)
ICCV
, pp. 900-907
-
-
Tappen, M.F.1
Freeman, W.T.2
-
18
-
-
14844366200
-
On the application of ROC analysis to predict classification performance under varying class distributions
-
G. I. Webb and K. M. Ting. On the application of ROC analysis to predict classification performance under varying class distributions. Machine Learning, 58(1):25-32, 2005.
-
(2005)
Machine Learning
, vol.58
, Issue.1
, pp. 25-32
-
-
Webb, G.I.1
Ting, K.M.2
|