-
5
-
-
78651087125
-
Using directional statistics to learn cast shadows from a multi-spectral light sources physical model
-
R. Caseiro, J. F. Henriques, and J. Batista. Using directional statistics to learn cast shadows from a multi-spectral light sources physical model. In ICIP, 2010
-
(2010)
ICIP
-
-
Caseiro, R.1
Henriques, J.F.2
Batista, J.3
-
6
-
-
84856685905
-
A nonparametric riemannian framework on tensor field application to foreground segmentation
-
R. Caseiro, J. F. Henriques, P. Martins, and J. Batista. A nonparametric riemannian framework on tensor field application to foreground segmentation. In ICCV, 2011
-
(2011)
ICCV
-
-
Caseiro, R.1
Henriques, J.F.2
Martins, P.3
Batista, J.4
-
8
-
-
84887398616
-
Rolling riemannian manifolds to solve the multiclass classification problem
-
R. Caseiro, P. Martins, J. F. Henriques, F. S. Leite, and J. Batista. Rolling riemannian manifolds to solve the multiclass classification problem. In CVPR, 2013
-
(2013)
CVPR
-
-
Caseiro, R.1
Martins, P.2
Henriques, J.F.3
Leite, F.S.4
Batista, J.5
-
9
-
-
70450189959
-
Intrinsic mean shift for clustering on stiefel and grassmann manifolds
-
H. Cetingul and R. Vidal. Intrinsic mean shift for clustering on stiefel and grassmann manifolds. In CVPR, 2009
-
(2009)
CVPR
-
-
Cetingul, H.1
Vidal, R.2
-
10
-
-
0742274700
-
Incremental learning in biological machine learning systems
-
S. Chalup. Incremental learning in biological machine learning systems. Int. Journal Neural Systems, 12:447-466, 2002
-
(2002)
Int. Journal Neural Systems
, vol.12
, pp. 447-466
-
-
Chalup, S.1
-
11
-
-
0032216898
-
The geometry of algorithms with orthogonality constraints
-
A. Edelman, T. A. Arias, and S. T. Smith. The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Analysis Applications, 20(2):303-353, 1998
-
(1998)
SIAM J. Matrix Analysis Applications
, vol.20
, Issue.2
, pp. 303-353
-
-
Edelman, A.1
Arias, T.A.2
Smith, S.T.3
-
13
-
-
85026926273
-
Lost in the past: Recognizing locations over large time lags
-
B. Fernando, T. Tommasi, and T. Tuytelaars. Lost in the past: Recognizing locations over large time lags. In arxiv, 2014
-
(2014)
Arxiv
-
-
Fernando, B.1
Tommasi, T.2
Tuytelaars, T.3
-
14
-
-
84899010695
-
Reshaping visual datasets for domain adaptation
-
B. Gong, K. Grauman, and F. Sha. Reshaping visual datasets for domain adaptation. In NIPS, 2013
-
(2013)
NIPS
-
-
Gong, B.1
Grauman, K.2
Sha, F.3
-
15
-
-
84902291141
-
Learning kernels for unsupervised domain adaptation with applications to visual object recognition
-
B. Gong, K. Grauman, and F. Sha. Learning kernels for unsupervised domain adaptation with applications to visual object recognition. IJCV, 109(1-2):3-27, 2014
-
(2014)
IJCV
, vol.109
, Issue.1-2
, pp. 3-27
-
-
Gong, B.1
Grauman, K.2
Sha, F.3
-
16
-
-
84866657270
-
Geodesic flow kernel for unsupervised domain adaptation
-
B. Gong, Y. Shi, F. Sha, and K. Grauman. Geodesic flow kernel for unsupervised domain adaptation. In CVPR, 2012
-
(2012)
CVPR
-
-
Gong, B.1
Shi, Y.2
Sha, F.3
Grauman, K.4
-
17
-
-
84887329810
-
Learning cross-domain information transfer for location recognition and clustering
-
R. Gopalan. Learning cross-domain information transfer for location recognition and clustering. In CVPR, 2013
-
(2013)
CVPR
-
-
Gopalan, R.1
-
18
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011
-
(2011)
ICCV
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
19
-
-
84901386413
-
Unsupervised adaptation across domain shifts by generating intermediate data representations
-
R. Gopalan, R. Li, and R. Chellappa. Unsupervised adaptation across domain shifts by generating intermediate data representations. PAMI, 2014
-
(2014)
PAMI
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
22
-
-
84898801687
-
Dictionary learning and sparse coding on grassmann manifolds: An extrinsic solution
-
M. Harandi, C. Sanderson, C. Shen, and B. C. Lovel. Dictionary learning and sparse coding on grassmann manifolds: An extrinsic solution. In ICCV, 2013
-
(2013)
ICCV
-
-
Harandi, M.1
Sanderson, C.2
Shen, C.3
Lovel, B.C.4
-
23
-
-
51949088643
-
Im2gps: Estimating geographic information from a single image
-
J. Hays and A. Efros. Im2gps: estimating geographic information from a single image. In CVPR, 2008
-
(2008)
CVPR
-
-
Hays, J.1
Efros, A.2
-
25
-
-
84898831806
-
Beyond hard negative mining: Efficient detector learning via blockcirculant decomposition
-
J. Henriques, J. Carreira, R. Caseiro, and J. Batista. Beyond hard negative mining: efficient detector learning via blockcirculant decomposition. In ICCV, 2013
-
(2013)
ICCV
-
-
Henriques, J.1
Carreira, J.2
Caseiro, R.3
Batista, J.4
-
26
-
-
84902242377
-
Model-driven domain adaptation on product manifolds for unconstrained face recognition
-
H. Ho and R. Gopalan. Model-driven domain adaptation on product manifolds for unconstrained face recognition. 109(110-125):IJCV, 2014
-
(2014)
IJCV
, vol.109
, pp. 110-125
-
-
Ho, H.1
Gopalan, R.2
-
27
-
-
84924803045
-
LSDA: Large scale detection through adaptation
-
J. Hoffman, S. Guadarrama, E. Tzeng, R. Hu, J. Donahue, R. Girshick, T. Darrell, and K. Saenko. LSDA: Large scale detection through adaptation. In NIPS, 2014
-
(2014)
NIPS
-
-
Hoffman, J.1
Guadarrama, S.2
Tzeng, E.3
Hu, R.4
Donahue, J.5
Girshick, R.6
Darrell, T.7
Saenko, K.8
-
28
-
-
85026926127
-
Discovering latent domains for multisource domain adaptation
-
J. Hoffman, B. Kulis, T. Darrell,, and K. Saenko. Discovering latent domains for multisource domain adaptation. In CVPR, 2012
-
(2012)
CVPR
-
-
Hoffman, J.1
Kulis, B.2
Darrell, T.3
Saenko, K.4
-
29
-
-
84867663160
-
Averaging complex subspaces via a karcher mean approach
-
K. Huper, M. Kleinsteuberb, and H. Shenb. Averaging complex subspaces via a karcher mean approach. Signal Pro-cessing, 93(459-467), 2013
-
(2013)
Signal Pro-cessing
, vol.93
, pp. 459-467
-
-
Huper, K.1
Kleinsteuberb, M.2
Shenb, H.3
-
30
-
-
35548981394
-
On the geometry of rolling and interpolation curves on Sn, SOn, Grassmann manifolds
-
K. Hupper and F. S. Leite. On the geometry of rolling and interpolation curves on Sn, SOn, Grassmann manifolds. J. Dynamical Control Systems, 13(4):467-502, 2007
-
(2007)
J. Dynamical Control Systems
, vol.13
, Issue.4
, pp. 467-502
-
-
Hupper, K.1
Leite, F.S.2
-
31
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, 2011
-
(2011)
CVPR
-
-
Kulis, B.1
Saenko, K.2
Darrell, T.3
-
33
-
-
84887392643
-
Subspace interpolation via dictionary learning unsupervised domain adaptation
-
J. Ni, Q. Qiu, and R. Chellappa. Subspace interpolation via dictionary learning unsupervised domain adaptation. In CVPR, 2013
-
(2013)
CVPR
-
-
Ni, J.1
Qiu, Q.2
Chellappa, R.3
-
35
-
-
47749087267
-
A new geometric algorithm to generate smooth interpolating curves on riemannian manifolds
-
R. Rodrigues and F. Leite. A new geometric algorithm to generate smooth interpolating curves on riemannian manifolds. LMS J. Comput. Math., 8:251-266, 2005
-
(2005)
LMS J. Comput. Math
, vol.8
, pp. 251-266
-
-
Rodrigues, R.1
Leite, F.2
-
38
-
-
33845598926
-
Smooth interpolation of orientation by rolling and wrapping for robot motion planning
-
Y. Shen, K. Hupper, and F. S. Leite. Smooth interpolation of orientation by rolling and wrapping for robot motion planning. In ICRA, 2006
-
(2006)
ICRA
-
-
Shen, Y.1
Hupper, K.2
Leite, F.S.3
-
40
-
-
80053126879
-
Statistical computations on grassmann and stiefel manifolds for image and video-based recognition
-
P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa. Statistical computations on grassmann and stiefel manifolds for image and video-based recognition. PAMI, 33(11):2273-2286, 2011.
-
(2011)
PAMI
, vol.33
, Issue.11
, pp. 2273-2286
-
-
Turaga, P.1
Veeraraghavan, A.2
Srivastava, A.3
Chellappa, R.4
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