-
1
-
-
78049469733
-
Multimodal fusion for multimedia analysis: A survey
-
P. K. Atrey, M. A. Hossain, A. El Saddik, and M. S. Kankanhalli, "Multimodal fusion for multimedia analysis: A survey," Multimedia Syst., vol. 16, no. 6, pp. 345-379, 2010.
-
(2010)
Multimedia Syst.
, vol.16
, Issue.6
, pp. 345-379
-
-
Atrey, P.K.1
Hossain, M.A.2
El Saddik, A.3
Kankanhalli, M.S.4
-
2
-
-
0344703989
-
Normalized classifier fusion for semantic visual concept detection
-
Sep.
-
B. L. Tseng, C.-Y. Lin, M. Naphade, A. Natsev, and J. R. Smith, "Normalized classifier fusion for semantic visual concept detection," in Proc. IEEE ICIP, vol. 2. Sep. 2003, pp. II-535-II-538.
-
(2003)
Proc. IEEE ICIP
, vol.2
, pp. II535-II538
-
-
Tseng, B.L.1
Lin, C.-Y.2
Naphade, M.3
Natsev, A.4
Smith, J.R.5
-
3
-
-
67650999671
-
Optimal classifier fusion in a non-bayesian probabilistic framework
-
Sep.
-
O. R. Terrades, E. Valveny, and S. Tabbone, "Optimal classifier fusion in a non-Bayesian probabilistic framework," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1630-1644, Sep. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.9
, pp. 1630-1644
-
-
Terrades, O.R.1
Valveny, E.2
Tabbone, S.3
-
4
-
-
84866712367
-
Robust late fusion with rank minimization
-
Jun.
-
G. Ye, D. Liu, I.-H. Jhuo, and S.-F. Chang, "Robust late fusion with rank minimization," in Proc. IEEE CVPR, Jun. 2012, pp. 3021-3028.
-
(2012)
Proc. IEEE CVPR
, pp. 3021-3028
-
-
Ye, G.1
Liu, D.2
Jhuo, I.-H.3
Chang, S.-F.4
-
5
-
-
37549016464
-
Likelihood ratiobased biometric score fusion
-
Feb.
-
K. Nandakumar, Y. Chen, S. C. Dass, and A. K. Jain, "Likelihood ratiobased biometric score fusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 2, pp. 342-347, Feb. 2008.
-
(2008)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.30
, Issue.2
, pp. 342-347
-
-
Nandakumar, K.1
Chen, Y.2
Dass, S.C.3
Jain, A.K.4
-
6
-
-
57149144228
-
A survey of affect recognition methods: Audio, visual, and spontaneous expressions
-
Jan.
-
Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang, "A survey of affect recognition methods: Audio, visual, and spontaneous expressions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 1, pp. 39-58, Jan. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.1
, pp. 39-58
-
-
Zeng, Z.1
Pantic, M.2
Roisman, G.I.3
Huang, T.S.4
-
7
-
-
57349122204
-
Classifier fusion for svm-based multimedia semantic indexing
-
Berlin, Germany: Springer-Verlag
-
S. Ayache, G. Quénot, and J. Gensel, "Classifier fusion for SVM-based multimedia semantic indexing," in Advances in Information Retrieval. Berlin, Germany: Springer-Verlag, 2007.
-
(2007)
Advances in Information Retrieval
-
-
Ayache, S.1
Quénot, G.2
Gensel, J.3
-
8
-
-
84866712341
-
Multimodal feature fusion for robust event detection in web videos
-
Jun.
-
P. Natarajan et al., "Multimodal feature fusion for robust event detection in Web videos," in Proc. IEEE CVPR, Jun. 2012, pp. 1298-1305.
-
(2012)
Proc. IEEE CVPR
, pp. 1298-1305
-
-
Natarajan, P.1
-
9
-
-
84867855153
-
Local expert forest of score fusion for video event classification
-
J. Liu, S. McCloskey, and Y. Liu, "Local expert forest of score fusion for video event classification," in Proc. 12th ECCV, 2012, pp. 397-410.
-
(2012)
Proc. 12th ECCV
, pp. 397-410
-
-
Liu, J.1
McCloskey, S.2
Liu, Y.3
-
10
-
-
84894902895
-
Multimedia event detection with multimodal feature fusion and temporal concept localization
-
S. Oh et al., "Multimedia event detection with multimodal feature fusion and temporal concept localization," Mach. Vis. Appl., vol. 25, no. 1, pp. 49-69, 2014.
-
(2014)
Mach. Vis. Appl.
, vol.25
, Issue.1
, pp. 49-69
-
-
Oh, S.1
-
11
-
-
84883126733
-
Early versus late fusion in semantic video analysis
-
C. G. M. Snoek, M. Worring, and A. W. M. Smeulders, "Early versus late fusion in semantic video analysis," in Proc. 13th Annu. ACM Int. Conf. Multimedia, 2005, pp. 399-402.
-
(2005)
Proc. 13th Annu. ACM Int. Conf. Multimedia
, pp. 399-402
-
-
Snoek, C.G.M.1
Worring, M.2
Smeulders, A.W.M.3
-
12
-
-
84887331855
-
Samplespecific late fusion for visual category recognition
-
Jun.
-
D. Liu, K.-T. Lai, G. Ye, M.-S. Chen, and S.-F. Chang, "Samplespecific late fusion for visual category recognition," in Proc. IEEE CVPR, Jun. 2013, pp. 803-810.
-
(2013)
Proc. IEEE CVPR
, pp. 803-810
-
-
Liu, D.1
Lai, K.-T.2
Ye, G.3
Chen, M.-S.4
Chang, S.-F.5
-
14
-
-
84880083510
-
The infinite push: A new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list
-
S. Agarwal, "The infinite push: A new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list," in Proc. SDM, 2011, pp. 839-850.
-
(2011)
Proc. SDM
, pp. 839-850
-
-
Agarwal, S.1
-
15
-
-
77956555216
-
Large graph construction for scalable semi-supervised learning
-
W. Liu, J. He, and S.-F. Chang, "Large graph construction for scalable semi-supervised learning," in Proc. 27th ICML, 2010, pp. 679-686.
-
(2010)
Proc. 27th ICML
, pp. 679-686
-
-
Liu, W.1
He, J.2
Chang, S.-F.3
-
16
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers," Found. Trends Mach. Learn., vol. 3, no. 1, pp. 1-122, 2011.
-
(2011)
Found. Trends Mach. Learn.
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
17
-
-
84877780590
-
Accuracy at the top
-
S. Boyd, C. Cortes, M. Mohri, and A. Radovanovic, "Accuracy at the top," in Proc. NIPS, 2012, pp. pp. 953-961.
-
(2012)
Proc. NIPS
, pp. 953-961
-
-
Boyd, S.1
Cortes, C.2
Mohri, M.3
Radovanovic, A.4
-
18
-
-
84867122531
-
Sparse support vector infinite push
-
A. Rakotomamonjy, "Sparse support vector infinite push," in Proc. 29th ICML, 2012, pp. 1335-1342.
-
(2012)
Proc. 29th ICML
, pp. 1335-1342
-
-
Rakotomamonjy, A.1
-
19
-
-
35048903652
-
Learning from labeled and unlabeled data using random walks
-
Berlin, Germany: Springer-Verlag
-
D. Zhou and B. Schölkopf, "Learning from labeled and unlabeled data using random walks," in Pattern Recognition. Berlin, Germany: Springer-Verlag, 2004, pp. 237-244.
-
(2004)
Pattern Recognition
, pp. 237-244
-
-
Zhou, D.1
Schölkopf, B.2
-
20
-
-
84899013566
-
Ranking on data manifolds
-
D. Zhou, J. Weston, A. Gretton, O. Bousquet, and B. Schölkopf, "Ranking on data manifolds," in Proc. NIPS, vol. 3. 2004, pp. 169-176.
-
(2004)
Proc. NIPS
, vol.3
, pp. 169-176
-
-
Zhou, D.1
Weston, J.2
Gretton, A.3
Bousquet, O.4
Schölkopf, B.5
-
21
-
-
33749252873
-
-
Cambridge, MA, USA: MIT Press
-
O. Chapelle, B. Schölkopf, and A. Zien, Semi-Supervised Learning, vol. 2. Cambridge, MA, USA: MIT Press, 2006.
-
(2006)
Semi-Supervised Learning
, vol.2
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
22
-
-
33745456231
-
-
Ph.D. dissertation Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, USA
-
X. Zhu, "Semi-supervised learning literature survey," Ph.D. dissertation, Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, USA, 2006.
-
(2006)
Semi-Supervised Learning Literature Survey
-
-
Zhu, X.1
-
23
-
-
0001938951
-
Transductive inference for text classification using support vector machines
-
T. Joachims, "Transductive inference for text classification using support vector machines," in Proc. 16th ICML, 1999, pp. 200-209.
-
(1999)
Proc. 16th ICML
, pp. 200-209
-
-
Joachims, T.1
-
24
-
-
33747128180
-
Large scale transductive svms
-
Dec.
-
R. Collobert, F. Sinz, J. Weston, and L. Bottou, "Large scale transductive SVMs," J. Mach. Learn. Res., vol. 7, pp. 1687-1712, Dec. 2006.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1687-1712
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
25
-
-
71149118386
-
Learning instance specific distances using metric propagation
-
D.-C. Zhan, M. Li, Y.-F. Li, and Z.-H. Zhou, "Learning instance specific distances using metric propagation," in Proc. 26th Annu. ICML, 2009, pp. 1225-1232.
-
(2009)
Proc. 26th Annu. ICML
, pp. 1225-1232
-
-
Zhan, D.-C.1
Li, M.2
Li, Y.-F.3
Zhou, Z.-H.4
-
26
-
-
70450239631
-
The p-norm push: A simple convex ranking algorithm that concentrates at the top of the list
-
Dec.
-
C. Rudin, "The p-norm push: A simple convex ranking algorithm that concentrates at the top of the list," J. Mach. Learn. Res., vol. 10, pp. 2233-2271, Dec. 2009.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 2233-2271
-
-
Rudin, C.1
-
27
-
-
34249837486
-
On the douglas-rachford splitting method and the proximal point algorithm for maximal monotone operators
-
J. Eckstein and D. P. Bertsekas, "On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators," Math. Program., vol. 55, nos. 1-3, pp. 293-318, 1992.
-
(1992)
Math. Program.
, vol.55
, Issue.1-3
, pp. 293-318
-
-
Eckstein, J.1
Bertsekas, D.P.2
-
28
-
-
71149088514
-
An efficient projection for l1,? Regularization
-
A. Quattoni, X. Carreras, M. Collins, and T. Darrell, "An efficient projection for l1,? regularization," in Proc. 26th Annu. ICML, 2009, pp. 857-864.
-
(2009)
Proc. 26th Annu. ICML
, pp. 857-864
-
-
Quattoni, A.1
Carreras, X.2
Collins, M.3
Darrell, T.4
-
29
-
-
33947233031
-
Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
-
Cambridge, MA, USA: MIT Press
-
Y. Bengio, J.-F. Paiement, P. Vincent, O. Delalleau, N. Le Roux, and M. Ouimet, "Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps, and spectral clustering," in Advances in Neural Information Processing Systems, vol. 16. Cambridge, MA, USA: MIT Press, 2004, pp. 177-184.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 177-184
-
-
Bengio, Y.1
Paiement, J.-F.2
Vincent, P.3
Delalleau, O.4
Le Roux, N.5
Ouimet, M.6
-
30
-
-
79952187194
-
Semisupervised learning using negative labels
-
Mar
-
C. Hou, F. Nie, F. Wang, C. Zhang, and Y. Wu, "Semisupervised learning using negative labels," IEEE Trans. Neural Netw., vol. 22, no. 3, pp. 420-432, Mar. 2011.
-
(2011)
IEEE Trans. Neural Netw.
, vol.22
, Issue.3
, pp. 420-432
-
-
Hou, C.1
Nie, F.2
Wang, F.3
Zhang, C.4
Wu, Y.5
-
31
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
32
-
-
85067032737
-
On feature combination for multiclass object classification
-
Sep./Oct.
-
P. Gehler and S. Nowozin, "On feature combination for multiclass object classification," in Proc. IEEE 12th ICCV, Sep./Oct. 2009, pp. 221-228.
-
(2009)
Proc. IEEE 12th ICCV
, pp. 221-228
-
-
Gehler, P.1
Nowozin, S.2
-
33
-
-
77956006653
-
Multimodal semisupervised learning for image classification
-
Jun.
-
M. Guillaumin, J. Verbeek, and C. Schmid, "Multimodal semisupervised learning for image classification," in Proc. IEEE CVPR, Jun. 2010, pp. 902-909.
-
(2010)
Proc. IEEE CVPR
, pp. 902-909
-
-
Guillaumin, M.1
Verbeek, J.2
Schmid, C.3
-
35
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
Jun.
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," in Proc. IEEE CVPR, Jun. 2014, pp. 580-587.
-
(2014)
Proc. IEEE CVPR
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
36
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
37
-
-
33745820006
-
Coloring local feature extraction
-
J. van de Weijer and C. Schmid, "Coloring local feature extraction," in Proc. 9th ECCV, 2006, pp. 334-348.
-
(2006)
Proc. 9th ECCV
, pp. 334-348
-
-
Weijer De J.Van1
Schmid, C.2
-
38
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, 2001.
-
(2001)
Int. J. Comput. Vis.
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
39
-
-
65249121810
-
Automated flower classification over a large number of classes
-
Dec.
-
M.-E. Nilsback and A. Zisserman, "Automated flower classification over a large number of classes," in Proc. 6th ICVGIP, Dec. 2008, pp. 722-729.
-
(2008)
Proc. 6th ICVGIP
, pp. 722-729
-
-
Nilsback, M.-E.1
Zisserman, A.2
-
40
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
Jun.
-
N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Comput. Soc. Conf. CVPR, Jun. 2005, pp. 886-893.
-
(2005)
Proc. IEEE Comput. Soc. Conf. CVPR
, pp. 886-893
-
-
Dalal, N.1
Triggs, B.2
-
41
-
-
79959766559
-
Consumer video understanding: A benchmark database and an evaluation of human and machine performance
-
Art. ID 29
-
Y.-G. Jiang, G. Ye, S.-F. Chang, D. Ellis, and A. C. Loui, "Consumer video understanding: A benchmark database and an evaluation of human and machine performance," in Proc. 1st ACM ICMR, 2011, Art. ID 29.
-
(2011)
Proc. 1st ACM ICMR
-
-
Jiang, Y.-G.1
Ye, G.2
Chang, S.-F.3
Ellis, D.4
Loui, A.C.5
-
42
-
-
24944451092
-
On space-time interest points
-
I. Laptev, "On space-time interest points," Int. J. Comput. Vis., vol. 64, nos. 2-3, pp. 107-123, 2005.
-
(2005)
Int. J. Comput. Vis.
, vol.64
, Issue.2-3
, pp. 107-123
-
-
Laptev, I.1
-
43
-
-
84876945537
-
Dense trajectories and motion boundary descriptors for action recognition
-
H. Wang, A. Kläser, C. Schmid, and C.-L. Liu, "Dense trajectories and motion boundary descriptors for action recognition," Int. J. Comput. Vis., vol. 103, no. 1, pp. 60-79, 2013.
-
(2013)
Int. J. Comput. Vis.
, vol.103
, Issue.1
, pp. 60-79
-
-
Wang, H.1
Kläser, A.2
Schmid, C.3
Liu, C.-L.4
-
44
-
-
84898827877
-
Combining the right features for complex event recognition
-
Dec.
-
K. Tang, B. Yao, L. Fei-Fei, and D. Koller, "Combining the right features for complex event recognition," in Proc. IEEE ICCV, Dec. 2013, pp. 2696-2703.
-
(2013)
Proc. IEEE ICCV
, pp. 2696-2703
-
-
Tang, K.1
Yao, B.2
Fei-Fei, L.3
Koller, D.4
-
45
-
-
84866707906
-
Evaluation of low-level features and their combinations for complex event detection in open source videos
-
Jun.
-
A. Tamrakar et al., "Evaluation of low-level features and their combinations for complex event detection in open source videos," in Proc. IEEE Conf. CVPR, Jun. 2012, pp. 3681-3688.
-
(2012)
Proc. IEEE Conf. CVPR
, pp. 3681-3688
-
-
Tamrakar, A.1
-
46
-
-
84906508190
-
Recognizing complex events in videos by learning key static-dynamic evidences
-
K.-T. Lai, D. Liu, M.-S. Chen, and S.-F. Chang, "Recognizing complex events in videos by learning key static-dynamic evidences," in Proc. 13th ECCV, 2014, pp. 675-688.
-
(2014)
Proc. 13th ECCV
, pp. 675-688
-
-
Lai, K.-T.1
Liu, D.2
Chen, M.-S.3
Chang, S.-F.4
-
47
-
-
84898817119
-
Compositional models for video event detection: A multiple kernel learning latent variable approach
-
Dec.
-
A. Vahdat, K. Cannons, G. Mori, S. Oh, and I. Kim, "Compositional models for video event detection: A multiple kernel learning latent variable approach," in Proc. IEEE ICCV, Dec. 2013, pp. 1185-1192.
-
(2013)
Proc. IEEE ICCV
, pp. 1185-1192
-
-
Vahdat, A.1
Cannons, K.2
Mori, G.3
Oh, S.4
Kim, I.5
|