-
1
-
-
33845566162
-
Svm-knn: Discriminative nearest neighbor classification for visual category recognition
-
H. Zhang, A. Berg, M. Maire, and J. Malik, "Svm-knn: Discriminative nearest neighbor classification for visual category recognition," in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, vol. 2, 2006, pp. 2126-2136.
-
(2006)
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
, vol.2
, pp. 2126-2136
-
-
Zhang, H.1
Berg, A.2
Maire, M.3
Malik, J.4
-
2
-
-
84866609133
-
Visual classification with multitask joint sparse representation
-
Oct.
-
X.-T. Yuan, X. Liu, and S. Yan, "Visual classification with multitask joint sparse representation," IEEE Trans. Image Processing, vol. 21, no. 10, pp. 4349-4360, Oct. 2012.
-
(2012)
IEEE Trans. Image Processing
, vol.21
, Issue.10
, pp. 4349-4360
-
-
Yuan, X.-T.1
Liu, X.2
Yan, S.3
-
3
-
-
34648825723
-
A comparative study of local matching approach for face recognition
-
J. Zou, Q. Ji, and G. Nagy, "A comparative study of local matching approach for face recognition," IEEE Trans. Image Processing, vol. 16, no. 10, pp. 2617-2628, 2007.
-
(2007)
IEEE Trans. Image Processing
, vol.16
, Issue.10
, pp. 2617-2628
-
-
Zou, J.1
Ji, Q.2
Nagy, G.3
-
4
-
-
84885036719
-
Face recognition using multiviewpoint patterns for robot vision
-
Springer Berlin /Heidelberg
-
K. Fukui and O. Yamaguchi, "Face recognition using multiviewpoint patterns for robot vision," in Robotics Research, ser. Springer Tracts in Advanced Robotics, vol. 15. Springer Berlin /Heidelberg, 2005, pp. 192-201.
-
(2005)
Robotics Research, Ser. Springer Tracts in Advanced Robotics
, vol.15
, pp. 192-201
-
-
Fukui, K.1
Yamaguchi, O.2
-
5
-
-
1642290713
-
Automatic spectral target recognition in hyperspectral imagery
-
Oct
-
H. Ren and C.-I. Chang, "Automatic spectral target recognition in hyperspectral imagery," Aerospace and Electronic Systems, IEEE Transactions on, vol. 39, no. 4, pp. 1232-1249, Oct 2003.
-
(2003)
Aerospace and Electronic Systems, IEEE Transactions on
, vol.39
, Issue.4
, pp. 1232-1249
-
-
Ren, H.1
Chang, C.-I.2
-
6
-
-
0035300682
-
Support vector machines for sar automatic target recognition
-
Apr
-
Q. Zhao and J. Principe, "Support vector machines for sar automatic target recognition," Aerospace and Electronic Systems, IEEE Transactions on, vol. 37, no. 2, pp. 643-654, Apr 2001.
-
(2001)
Aerospace and Electronic Systems, IEEE Transactions on
, vol.37
, Issue.2
, pp. 643-654
-
-
Zhao, Q.1
Principe, J.2
-
7
-
-
0015680481
-
Textural features for image classification
-
R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 6, pp. 610-621, 1973.
-
(1973)
IEEE Trans. Syst., Man, Cybern.
, vol.SMC-3
, Issue.6
, pp. 610-621
-
-
Haralick, R.M.1
Shanmugam, K.2
Dinstein, I.3
-
8
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, vol. 2, 2006, pp. 2169-2178.
-
(2006)
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
, vol.2
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
9
-
-
0032663328
-
Filtering for texture classification: A comparative study
-
Apr
-
T. Randen and J. Husoy, "Filtering for texture classification: A comparative study," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 21, no. 4, pp. 291-310, Apr 1999.
-
(1999)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.21
, Issue.4
, pp. 291-310
-
-
Randen, T.1
Husoy, J.2
-
10
-
-
33645712892
-
Compressed sensing
-
April
-
D. Donoho, "Compressed sensing," Information Theory, IEEE Transactions on, vol. 52, no. 4, pp. 1289-1306, April 2006.
-
(2006)
Information Theory, IEEE Transactions on
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.1
-
11
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb.
-
J. Wright, A. Y. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Machine Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
12
-
-
83655167265
-
Joint dynamic sparse representation for multi-view face recognition
-
H. Zhang, N. M. Nasrabadi, Y. Zhang, and T. S. Huang, "Joint dynamic sparse representation for multi-view face recognition," Pattern Recognition, vol. 45, no. 4, pp. 1290-1298, 2012.
-
(2012)
Pattern Recognition
, vol.45
, Issue.4
, pp. 1290-1298
-
-
Zhang, H.1
Nasrabadi, N.M.2
Zhang, Y.3
Huang, T.S.4
-
13
-
-
76449115179
-
Multi-pie
-
May
-
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker, "Multi-pie," Image Vision Comput., vol. 28, no. 5, pp. 807-813, May 2010.
-
(2010)
Image Vision Comput.
, vol.28
, Issue.5
, pp. 807-813
-
-
Gross, R.1
Matthews, I.2
Cohn, J.3
Kanade, T.4
Baker, S.5
-
14
-
-
84862649818
-
Learning sparse representations for human action recognition
-
T. Guha and R. K. Ward, "Learning sparse representations for human action recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 34, no. 8, pp. 1576-1588, 2012.
-
(2012)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.34
, Issue.8
, pp. 1576-1588
-
-
Guha, T.1
Ward, R.K.2
-
15
-
-
84983144527
-
-
arXiv preprint arXiv:1403. 1902
-
S. Bahrampour, A. Ray, N. M. Nasrabadi, and K. W. Jenkins, "Quality-based multimodal classification using tree-structured sparsity," arXiv preprint arXiv:1403. 1902, 2014.
-
(2014)
Quality-based Multimodal Classification Using Tree-structured Sparsity
-
-
Bahrampour, S.1
Ray, A.2
Nasrabadi, N.M.3
Jenkins, K.W.4
-
16
-
-
84863979867
-
Multiview automatic target recognition using joint sparse representation
-
July
-
H. Zhang, N. M. Nasrabadi, Y. Zhang, and T. S. Huang, "Multiview automatic target recognition using joint sparse representation," IEEE Trans. Aerosp. Electron. Syst., vol. 48, no. 3, pp. 2481-2497, July 2012.
-
(2012)
IEEE Trans. Aerosp. Electron. Syst.
, vol.48
, Issue.3
, pp. 2481-2497
-
-
Zhang, H.1
Nasrabadi, N.M.2
Zhang, Y.3
Huang, T.S.4
-
17
-
-
84881650786
-
SHIRC: A simultaneous Sparsity model for Histopathological Image Representation and Classification
-
U. Srinivas, et al., "SHIRC: A simultaneous Sparsity model for Histopathological Image Representation and Classification," in Proc. IEEE Int. Symp. Biomed. Imag., 2013, pp. 1118-1121.
-
(2013)
Proc. IEEE Int. Symp. Biomed. Imag.
, pp. 1118-1121
-
-
Srinivas, U.1
-
18
-
-
80052529509
-
Robust multi-sensor classification via joint sparse representation
-
July
-
N. Nguyen, N. Nasrabadi, and T. Tran, "Robust multi-sensor classification via joint sparse representation," in Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on, July 2011, pp. 1-8.
-
(2011)
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
, pp. 1-8
-
-
Nguyen, N.1
Nasrabadi, N.2
Tran, T.3
-
19
-
-
84897767489
-
Structured sparse priors for image classification
-
U. Srinivas, Y. Suo, M. Dao, V. Monga, and T. Tran, "Structured sparse priors for image classification," International Conference on Image Proccessing, 2013.
-
(2013)
International Conference on Image Proccessing
-
-
Srinivas, U.1
Suo, Y.2
Dao, M.3
Monga, V.4
Tran, T.5
-
20
-
-
31744440684
-
-
Feb.
-
E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," vol. 52, no. 2, pp. 489-509, Feb. 2006.
-
(2006)
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
, vol.52
, Issue.2
, pp. 489-509
-
-
Candès, E.1
Romberg, J.2
Tao, T.3
-
21
-
-
33646365077
-
For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution
-
D. L. Donoho, "For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution," Comm. Pure Appl. Math., vol. 59, no. 6, pp. 797-829, 2006.
-
(2006)
Comm. Pure Appl. Math.
, vol.59
, Issue.6
, pp. 797-829
-
-
Donoho, D.L.1
-
22
-
-
72949095917
-
Bayesian compressive sensing using laplace priors
-
S. Babacan, R. Molina, and A. Katsaggelos, "Bayesian compressive sensing using laplace priors," Image Processing, IEEE Transactions on, vol. 19, no. 1, pp. 53-63, 2010.
-
(2010)
Image Processing, IEEE Transactions on
, vol.19
, Issue.1
, pp. 53-63
-
-
Babacan, S.1
Molina, R.2
Katsaggelos, A.3
-
23
-
-
77955672486
-
Learning with compressible priors
-
V. Cevher, "Learning with compressible priors. " in NIPS, 2009, pp. 261-269.
-
(2009)
NIPS
, pp. 261-269
-
-
Cevher, V.1
-
24
-
-
84860345321
-
A majorization minimization approach to variable selection using spike and slab priors
-
06
-
T.-J. Yen, "A majorization minimization approach to variable selection using spike and slab priors," The Annals of Statistics, vol. 39, no. 3, pp. 1748-1775, 06 2011.
-
(2011)
The Annals of Statistics
, vol.39
, Issue.3
, pp. 1748-1775
-
-
Yen, T.-J.1
-
25
-
-
22944460748
-
Spike and slab variable selection: Frequentist and bayesian strategies
-
H. Ishwaran and J. S. Rao, "Spike and slab variable selection: frequentist and bayesian strategies," The Annals of Statistics, pp. 463-976, 2005.
-
(2005)
The Annals of Statistics
, pp. 463-976
-
-
Ishwaran, H.1
Rao, J.S.2
-
26
-
-
84893179575
-
Variable selection via gibbs sampling
-
E. I. George and R. E. McCulloch, "Variable selection via gibbs sampling," Journal of the American Statistical Association, vol. 88, no. 423, pp. 881-889, 1993.
-
(1993)
Journal of the American Statistical Association
, vol.88
, Issue.423
, pp. 881-889
-
-
George, E.I.1
McCulloch, R.E.2
-
27
-
-
85162414745
-
Spike and slab variational inference for multi-task and multiple kernel learning
-
M. K. Titsias and M. Lázaro-Gredilla, "Spike and slab variational inference for multi-task and multiple kernel learning," in NIPS, 2011, pp. 2339-2347.
-
(2011)
NIPS
, pp. 2339-2347
-
-
Titsias, M.K.1
Lázaro-Gredilla, M.2
-
28
-
-
84890502852
-
Hierarchical sparse modeling using spike and slab priors
-
May
-
Y. Suo, M. Dao, T. Tran, U. Srinivas, and V. Monga, "Hierarchical sparse modeling using spike and slab priors," in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on, May 2013, pp. 3103-3107.
-
(2013)
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
, pp. 3103-3107
-
-
Suo, Y.1
Dao, M.2
Tran, T.3
Srinivas, U.4
Monga, V.5
-
30
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
R. Tibshirani, "Regression shrinkage and selection via the lasso," Journal of the Royal Statistical Society, Series B, vol. 58, pp. 267-288, 1994.
-
(1994)
Journal of the Royal Statistical Society, Series B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
31
-
-
80051715215
-
C-hilasso: A collaborative hierarchical sparse modeling framework
-
Sept
-
P. Sprechmann, I. Ramirez, G. Sapiro, and Y. Eldar, "C-hilasso: A collaborative hierarchical sparse modeling framework," Signal Processing, IEEE Transactions on, vol. 59, no. 9, pp. 4183-4198, Sept 2011.
-
(2011)
Signal Processing, IEEE Transactions on
, vol.59
, Issue.9
, pp. 4183-4198
-
-
Sprechmann, P.1
Ramirez, I.2
Sapiro, G.3
Eldar, Y.4
-
32
-
-
77957019075
-
Graph-based classification of multiple observation sets
-
E. Kokiopoulou and P. Frossard, "Graph-based classification of multiple observation sets," Pattern Recognition, vol. 43, no. 12, pp. 3988-3997, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.12
, pp. 3988-3997
-
-
Kokiopoulou, E.1
Frossard, P.2
-
33
-
-
30844445842
-
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
-
Apr.
-
J. A. Tropp, A. C. Gilbert, and M. J. Strauss, "Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit," Signal Processing, vol. 86, pp. 572-588, Apr. 2006.
-
(2006)
Signal Processing
, vol.86
, pp. 572-588
-
-
Tropp, J.A.1
Gilbert, A.C.2
Strauss, M.J.3
|