-
3
-
-
39449106669
-
Tabu search versus grasp for the maximum diversity problem
-
R. Aringhieri, R. Cordone, and Y. Melzani. Tabu search versus grasp for the maximum diversity problem. 4OR, 2008. 6
-
(2008)
4OR
, vol.6
-
-
Aringhieri, R.1
Cordone, R.2
Melzani, Y.3
-
4
-
-
24644502276
-
Shape matching and object recognition using low distortion correspondences
-
A. C. Berg, T. L. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In CVPR, 2005. 1
-
(2005)
CVPR
, vol.1
-
-
Berg, A.C.1
Berg, T.L.2
Malik, J.3
-
5
-
-
84898824034
-
Learning graphs to match
-
M. Cho, K. Alahari, and J. Ponce. Learning graphs to match. In ICCV, 2013. 7, 8
-
(2013)
ICCV
, vol.7
, pp. 8
-
-
Cho, M.1
Alahari, K.2
Ponce, J.3
-
6
-
-
77953192794
-
Feature correspondence and deformable object matching via agglomerative correspondence clustering
-
M. Cho and J. Lee. Feature correspondence and deformable object matching via agglomerative correspondence clustering. In ICCV, 2009. 1
-
(2009)
ICCV
, vol.1
-
-
Cho, M.1
Lee, J.2
-
7
-
-
80052887582
-
Reweighted random walks for graph matching
-
1, 6, 7, 8
-
M. Cho, J. Lee, and K. M. Lee. Reweighted random walks for graph matching. In ECCV, 2010. 1, 6, 7, 8
-
(2010)
ECCV
-
-
Cho, M.1
Lee, J.2
Lee, K.M.3
-
8
-
-
84856655843
-
A graph-matching kernel for object categorization
-
O. Duchenne, A. Joulin, and J. Ponce. A graph-matching kernel for object categorization. In ICCV, 2011. 1
-
(2011)
ICCV
, vol.1
-
-
Duchenne, O.1
Joulin, A.2
Ponce, J.3
-
10
-
-
34047174674
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. CVIU, 2007. 7
-
(2007)
CVIU
, vol.7
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
11
-
-
0022865373
-
Future paths for integer programming and links to artificial intelligence
-
F. Glover. Future paths for integer programming and links to artificial intelligence. Computers and Operations Research, 1986. 4
-
(1986)
Computers and Operations Research
, vol.4
-
-
Glover, F.1
-
14
-
-
0030125842
-
A graduated assignment algorithm for graph matching
-
1, 6
-
S. Gold and A. Rangarajan. A graduated assignment algorithm for graph matching. TPAMI, 1996. 1, 6
-
(1996)
TPAMI
-
-
Gold, S.1
Rangarajan, A.2
-
16
-
-
84887395819
-
Discriminative decorrelation for clustering and classification
-
B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. In ECCV. 2012. 8
-
(2012)
ECCV
, vol.8
-
-
Hariharan, B.1
Malik, J.2
Ramanan, D.3
-
17
-
-
0024771949
-
Stereo correspondence through feature grouping and maximal cliques
-
R. Horaud and T. Skordas. Stereo correspondence through feature grouping and maximal cliques. TPAMI, 1989. 2
-
(1989)
TPAMI
, vol.2
-
-
Horaud, R.1
Skordas, T.2
-
18
-
-
84899448230
-
Online multitarget tracking by large margin structured learning
-
S. Kim, S. Kwak, J. Feyereisl, and B. Han. Online multitarget tracking by large margin structured learning. In ACCV. 2013. 1
-
(2013)
ACCV.
, vol.1
-
-
Kim, S.1
Kwak, S.2
Feyereisl, J.3
Han, B.4
-
19
-
-
78149471879
-
A graph matching algorithm using data-driven markov chain monte carlo sampling
-
1, 2
-
J. Lee, M. Cho, and K. M. Lee. A graph matching algorithm using data-driven markov chain monte carlo sampling. In ICPR, 2010. 1, 2
-
(2010)
ICPR
-
-
Lee, J.1
Cho, M.2
Lee, K.M.3
-
20
-
-
33745886518
-
A spectral technique for correspondence problems using pairwise constraints
-
1, 6
-
M. Leordeanu and M. Hebert. A spectral technique for correspondence problems using pairwise constraints. In ICCV, 2005. 1, 6
-
(2005)
ICCV
-
-
Leordeanu, M.1
Hebert, M.2
-
21
-
-
84858731529
-
An integer projected fixed point method for graph matching and map inference
-
1, 2, 6
-
M. Leordeanu and M. Hebert. An integer projected fixed point method for graph matching and map inference. In NIPS, 2009. 1, 2, 6
-
(2009)
NIPS
-
-
Leordeanu, M.1
Hebert, M.2
-
22
-
-
84880902861
-
Fast detection of dense subgraphs with iterative shrinking and expansion
-
2, 6
-
H. Liu, L. J. Latecki, and S. Yan. Fast detection of dense subgraphs with iterative shrinking and expansion. TPAMI, 2013. 2, 6
-
(2013)
TPAMI
-
-
Liu, H.1
Latecki, L.J.2
Yan, S.3
-
23
-
-
77956000289
-
Common visual pattern discovery via spatially coherent correspondences
-
H. Liu and S. Yan. Common visual pattern discovery via spatially coherent correspondences. In CVPR, 2010. 2
-
(2010)
CVPR
, vol.2
-
-
Liu, H.1
Yan, S.2
-
25
-
-
84959216670
-
Subgraph matching using compactness prior for robust feature correspodence
-
Y. Suh, K. Adamczewski, and K. M. Lee. Subgraph matching using compactness prior for robust feature correspodence. In CVPR, 2015. 1
-
(2015)
CVPR
, vol.1
-
-
Suh, Y.1
Adamczewski, K.2
Lee, K.M.3
-
26
-
-
84887374709
-
Graph matching via sequential monte carlo
-
1, 2
-
Y. Suh, M. Cho, and K. M. Lee. Graph matching via sequential monte carlo. In ECCV, 2012. 1, 2
-
(2012)
ECCV
-
-
Suh, Y.1
Cho, M.2
Lee, K.M.3
-
27
-
-
0024069925
-
An eigendecomposition approach to weighted graph matching problems
-
S. Umeyama. An eigendecomposition approach to weighted graph matching problems. TPAMI, 1988. 1
-
(1988)
TPAMI
, vol.1
-
-
Umeyama, S.1
-
30
-
-
84959254964
-
Discrete hyper-graph matching
-
1, 2
-
J. Yan, C. Zhang, H. Zha, W. Liu, X. Yang, and S. M. Chu. Discrete hyper-graph matching. In CVPR, 2015. 1, 2
-
(2015)
CVPR
-
-
Yan, J.1
Zhang, C.2
Zha, H.3
Liu, W.4
Yang, X.5
Chu, S.M.6
-
31
-
-
84922577032
-
From dense subgraph to graph matching: A label propagation approach
-
Z. Zhao, Y. Qiao, J. Yang, and L. Bai. From dense subgraph to graph matching: A label propagation approach. In Audio, Language and Image Processing (ICALIP), 2014. 2
-
(2014)
Audio, Language and Image Processing (ICALIP)
, vol.2
-
-
Zhao, Z.1
Qiao, Y.2
Yang, J.3
Bai, L.4
-
32
-
-
84866637329
-
Factorized graph matching
-
1, 2, 6
-
F. Zhou and F. D. la Torre. Factorized graph matching. In CVPR, 2012. 1, 2, 6
-
(2012)
CVPR
-
-
Zhou, F.1
La Torre, F.D.2
|