-
1
-
-
1442336159
-
Riemannian geometry of Grassmann manifolds with a view on algorithmic computation
-
February
-
P.-A. Absil, R. Mahony, and R. Sepulchre. Riemannian geometry of Grassmann manifolds with a view on algorithmic computation. Acta Appl. Math., 80:199-220, February 2004.
-
(2004)
Acta Appl. Math.
, vol.80
, pp. 199-220
-
-
Absil, P.-A.1
Mahony, R.2
Sepulchre, R.3
-
2
-
-
43049174575
-
Speeded-up robust features (SURF)
-
June
-
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. Speeded-up robust features (SURF). CVIU, 110:346-359, June 2008.
-
(2008)
CVIU
, vol.110
, pp. 346-359
-
-
Bay, H.1
Ess, A.2
Tuytelaars, T.3
Van Gool, L.4
-
3
-
-
0031185845
-
Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
-
July
-
P. Belhumeur, J. Hespanha, and D. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE TPAMI, 19:711-720, July 1997.
-
(1997)
IEEE TPAMI
, vol.19
, pp. 711-720
-
-
Belhumeur, P.1
Hespanha, J.2
Kriegman, D.3
-
4
-
-
84897573740
-
A theory of learning fromdifferent domains
-
May
-
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J.W. Vaughan. A theory of learning fromdifferent domains. Machine Learning, 79:151-175, May 2010.
-
(2010)
Machine Learning
, vol.79
, pp. 151-175
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Vaughan, J.W.6
-
5
-
-
84864049234
-
Analysis of representations for domain adaptation
-
December
-
S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira. Analysis of representations for domain adaptation. NIPS, pages 137-145, December 2007.
-
(2007)
NIPS
, pp. 137-145
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Pereira, F.4
-
6
-
-
80053374829
-
Impossibility theorems for domain adaptation
-
Sardinia, Italy, May
-
S. Ben-David, T. Luu, T. Lu, and D. Pal. Impossibility theorems for domain adaptation. In AISTATS, pages 129-136, Sardinia, Italy, May 2010.
-
(2010)
AISTATS
, pp. 129-136
-
-
Ben-David, S.1
Luu, T.2
Lu, T.3
Pal, D.4
-
7
-
-
85161970767
-
Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
-
Vancouver, Canada, December
-
A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach. In NIPS, pages 181-189. Vancouver, Canada, December 2010.
-
(2010)
NIPS
, pp. 181-189
-
-
Bergamo, A.1
Torresani, L.2
-
8
-
-
85161961443
-
Learning bounds for domain adaptation
-
Vancouver, Canada, December
-
J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman. Learning bounds for domain adaptation. In NIPS, pages 129-136, Vancouver, Canada, December 2008.
-
(2008)
NIPS
, pp. 129-136
-
-
Blitzer, J.1
Crammer, K.2
Kulesza, A.3
Pereira, F.4
Wortman, J.5
-
9
-
-
84860524227
-
Biographies, bollywood, boomboxes and blenders: Domain adaptation for sentiment classification
-
Prague, Czech Republic, June
-
J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boomboxes and blenders: Domain adaptation for sentiment classification. In ACL, pages 440-447, Prague, Czech Republic, June 2007.
-
(2007)
ACL
, pp. 440-447
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
10
-
-
80053342456
-
Domain adaptation with structural correspondence learning
-
Sydney, Australia, July
-
J. Blitzer, R. McDonald, and F. Pereira. Domain adaptation with structural correspondence learning. In EMNLP, pages 120-128, Sydney, Australia, July 2006.
-
(2006)
EMNLP
, pp. 120-128
-
-
Blitzer, J.1
McDonald, R.2
Pereira, F.3
-
11
-
-
77949852900
-
Domain adaptation problems: A DASVM classification technique and a circular validation strategy
-
May
-
L. Bruzzone and M. Marconcini. Domain adaptation problems: A DASVM classification technique and a circular validation strategy. IEEE TPAMI, 32:770-787, May 2010.
-
(2010)
IEEE TPAMI
, vol.32
, pp. 770-787
-
-
Bruzzone, L.1
Marconcini, M.2
-
12
-
-
0742274700
-
Incremental learning in biological and machine learning systems
-
June
-
S. Chalup. Incremental learning in biological and machine learning systems. International Journal of Neural Systems, 12:447-466, June 2002.
-
(2002)
International Journal of Neural Systems
, vol.12
, pp. 447-466
-
-
Chalup, S.1
-
14
-
-
36348931609
-
Transferring naive Bayes classifiers for text classification
-
Vancouver, Canada, July
-
W. Dai, G. Xue, Q. Yang, and Y. Yu. Transferring naive Bayes classifiers for text classification. In National Conference on Artificial Intelligence, pages 540-543, Vancouver, Canada, July 2007.
-
(2007)
National Conference on Artificial Intelligence
, pp. 540-543
-
-
Dai, W.1
Xue, G.2
Yang, Q.3
Yu, Y.4
-
15
-
-
85162030733
-
Co-regularization based semisupervised domain adaptation
-
Vancouver, Canada, December
-
H. Daumé III, A. Kumar, and A. Saha. Co-regularization based semisupervised domain adaptation. In NIPS, pages 478-486. Vancouver, Canada, December 2010.
-
(2010)
NIPS
, pp. 478-486
-
-
Daumé III, H.1
Kumar, A.2
Saha, A.3
-
17
-
-
79951490162
-
Online methods for multi-domain learning and adaptation
-
Honolulu, HI, USA, October
-
M. Dredze and K. Crammer. Online methods for multi-domain learning and adaptation. In EMNLP, pages 689-697, Honolulu, HI, USA, October 2008.
-
(2008)
EMNLP
, pp. 689-697
-
-
Dredze, M.1
Crammer, K.2
-
18
-
-
79953064532
-
Domain adaptation from multiple sources via auxiliary classifiers
-
Montreal, Canada, June
-
L. Duan, I. Tsang, D. Xu, and T. Chua. Domain adaptation from multiple sources via auxiliary classifiers. In ICML, pages 289-296, Montreal, Canada, June 2009.
-
(2009)
ICML
, pp. 289-296
-
-
Duan, L.1
Tsang, I.2
Xu, D.3
Chua, T.4
-
20
-
-
84948655309
-
Efficient algorithms for inferences on grassmann manifolds
-
St. Louis, MO, USA, September
-
K. Gallivan, A. Srivastava, X. Liu, and P. Van Dooren. Efficient algorithms for inferences on grassmann manifolds. In IEEE Workshop on Statistical Signal Processing, pages 315-318, St. Louis, MO, USA, September 2003.
-
(2003)
IEEE Workshop on Statistical Signal Processing
, pp. 315-318
-
-
Gallivan, K.1
Srivastava, A.2
Liu, X.3
Van Dooren, P.4
-
21
-
-
56449127949
-
Grassmann discriminant analysis: A unifying view on subspace-based learning
-
Helsinki, Finland, July
-
J. Hamm and D. D. Lee. Grassmann discriminant analysis: A unifying view on subspace-based learning. In ICML, pages 376-383, Helsinki, Finland, July 2008.
-
(2008)
ICML
, pp. 376-383
-
-
Hamm, J.1
Lee, D.D.2
-
22
-
-
80052888591
-
Graph embedding discriminant analysis on grassmannian manifolds for improved image set matching
-
Colorado Springs, CO, USA, June
-
M. Harandi, S. Shirazi, C. Sanderson, and B. Lovell. Graph embedding discriminant analysis on grassmannian manifolds for improved image set matching. In CVPR, pages 2705-2512, Colorado Springs, CO, USA, June 2011.
-
(2011)
CVPR
, pp. 2705-2512
-
-
Harandi, M.1
Shirazi, S.2
Sanderson, C.3
Lovell, B.4
-
23
-
-
33845536164
-
The class imbalance problem: A systematic study
-
October
-
N. Japkowicz and S. Stephen. The class imbalance problem: A systematic study. Intelligent Data Analysis, 6:429-449, October 2002.
-
(2002)
Intelligent Data Analysis
, vol.6
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
25
-
-
0025434992
-
Invariant image recognition by zernike moments
-
May
-
A. Khotanzad and Y. Hong. Invariant image recognition by zernike moments. IEEE TPAMI, 12:489-497, May 1990.
-
(1990)
IEEE TPAMI
, vol.12
, pp. 489-497
-
-
Khotanzad, A.1
Hong, Y.2
-
26
-
-
77954064287
-
Object recognition in 3D point clouds using Web data and domain adaptation
-
August
-
K. Lai and D. Fox. Object recognition in 3D point clouds using Web data and domain adaptation. The International Journal of Robotics Research, 29:1019-1028, August 2010.
-
(2010)
The International Journal of Robotics Research
, vol.29
, pp. 1019-1028
-
-
Lai, K.1
Fox, D.2
-
27
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
November
-
D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60:91-110, November 2004.
-
(2004)
IJCV
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
28
-
-
56749131642
-
Grassmann registration manifolds for face recognition
-
Marseille, France, October
-
Y. M. Lui and J. R. Beveridge. Grassmann registration manifolds for face recognition. In ECCV, pages 44-57, Marseille, France, October 2008.
-
(2008)
ECCV
, pp. 44-57
-
-
Lui, Y.M.1
Beveridge, J.R.2
-
30
-
-
70049090062
-
Domain adaptation with multiple sources
-
Vancouver, Canada, December
-
Y. Mansour, M. Mohri, and A. Rostamizadeh. Domain adaptation with multiple sources. In NIPS, pages 1041-1048. Vancouver, Canada, December 2009.
-
(2009)
NIPS
, pp. 1041-1048
-
-
Mansour, Y.1
Mohri, M.2
Rostamizadeh, A.3
-
31
-
-
79951681949
-
Domain adaptation via transfer component analysis
-
February
-
S. J. Pan, I. Tsang, J. Kwok, and Q. Yang. Domain adaptation via transfer component analysis. IEEE Trans. Neural Networks, 22:199-210, February 2011.
-
(2011)
IEEE Trans. Neural Networks
, vol.22
, pp. 199-210
-
-
Pan, S.J.1
Tsang, I.2
Kwok, J.3
Yang, Q.4
-
33
-
-
78149318752
-
Adapting visual category models to new domains
-
Heraklion, Greece, September
-
K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. In ECCV, pages 213-226, Heraklion, Greece, September 2010.
-
(2010)
ECCV
, pp. 213-226
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
34
-
-
0010012318
-
Incremental learning from noisy data
-
March
-
J. Schlimmer and R. Granger. Incremental learning from noisy data. Machine learning, 1:317-354, March 1986.
-
(1986)
Machine learning
, vol.1
, pp. 317-354
-
-
Schlimmer, J.1
Granger, R.2
-
35
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
October
-
H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Plan-ning and Inference, 90:227-244, October 2000.
-
(2000)
Journal of Statistical Plan-ning and Inference
, vol.90
, pp. 227-244
-
-
Shimodaira, H.1
-
36
-
-
70349216566
-
Co-adaptation: Adaptive co-training for semi-supervised learning
-
Taipei, Taiwan, April
-
G. Tur. Co-adaptation:Adaptive co-training for semi-supervised learning. In ICASSP, pages 3721-3724, Taipei, Taiwan, April 2009.
-
(2009)
ICASSP
, pp. 3721-3724
-
-
Tur, G.1
-
37
-
-
51949097477
-
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
-
Anchorage, AK, USA, June
-
P. Turaga, A. Veeraraghavan, and R. Chellappa. Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision. In CVPR, pages 1-8, Anchorage, AK, USA, June 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Turaga, P.1
Veeraraghavan, A.2
Chellappa, R.3
-
38
-
-
0026384289
-
Face recognition using eigenfaces
-
Maui, HI, USA, June
-
M. Turk and A. Pentland. Face recognition using eigenfaces. In CVPR, pages 586-591, Maui, HI, USA, June 1991.
-
(1991)
CVPR
, pp. 586-591
-
-
Turk, M.1
Pentland, A.2
-
39
-
-
78751695885
-
Manifold alignment without correspondence
-
Pasadena, CA, USA, July
-
C.Wang and S. Mahadevan. Manifold alignment without correspondence. In IJCAI, pages 1273-1278, Pasadena, CA, USA, July 2009.
-
(2009)
IJCAI
, pp. 1273-1278
-
-
Wang, C.1
Mahadevan, S.2
-
42
-
-
38049169428
-
Bridged refinement for transfer learning
-
September
-
D. Xing, W. Dai, G. Xue, and Y. Yu. Bridged refinement for transfer learning. PKDD, pages 324-335, September 2007.
-
(2007)
PKDD
, pp. 324-335
-
-
Xing, D.1
Dai, W.2
Xue, G.3
Yu, Y.4
-
43
-
-
0015315797
-
Fourier descriptors for plane closed curves
-
March
-
C. T. Zahn and R. Z. Roskies. Fourier descriptors for plane closed curves. IEEE Trans. Computers, C-21:269-281, March 1972.
-
(1972)
IEEE Trans. Computers
, vol.C-21
, pp. 269-281
-
-
Zahn, C.T.1
Roskies, R.Z.2
|