-
1
-
-
33750383209
-
K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
-
2
-
M. Aharon, M. Elad, and A. Bruckstein. K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation. IEEE Transactions on Signal Processing, 54(11):4311-4322, 2006. 2
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
-
2
-
-
85162018819
-
Kernel descriptors for visual recognition
-
1
-
L. Bo, X. Ren, and D. Fox. Kernel Descriptors for Visual Recognition. In NIPS, 2010. 1
-
(2010)
NIPS
-
-
Bo, L.1
Ren, X.2
Fox, D.3
-
3
-
-
85162387004
-
Hierarchical matching pursuit for image classification: Architecture and fast algorithms
-
1, 2, 6
-
L. Bo, X. Ren, and D. Fox. Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms. In NIPS, 2011. 1, 2, 6
-
(2011)
NIPS
-
-
Bo, L.1
Ren, X.2
Fox, D.3
-
4
-
-
84872231524
-
Unsupervised feature learning for rgb-d based object recognition
-
2, 7
-
L. Bo, X. Ren, and D. Fox. Unsupervised Feature Learning for RGB-D Based Object Recognition. In ISER, 2012. 2, 7
-
(2012)
ISER
-
-
Bo, L.1
Ren, X.2
Fox, D.3
-
5
-
-
84856649187
-
Ask the locals: Multi-Way local pooling for image recognition
-
2, 6
-
Y. Boureau, N. Roux, F. Bach, J. Ponce, and Y. LeCun. Ask the Locals: Multi-Way Local Pooling for Image Recognition. In ICCV, 2011. 2, 6
-
(2011)
ICCV
-
-
Boureau, Y.1
Roux, N.2
Bach, F.3
Ponce, J.4
Lecun, Y.5
-
6
-
-
79960230920
-
Visual recognition with humans in the loop
-
7
-
S. Branson, C. Wah, B. Babenko, F. Schroff, P. Welinder, P. Perona, and S. Belongie. Visual Recognition with Humans in the Loop. In ECCV, 2010. 7
-
(2010)
ECCV
-
-
Branson, S.1
Wah, C.2
Babenko, B.3
Schroff, F.4
Welinder, P.5
Perona, P.6
Belongie, S.7
-
7
-
-
34249687049
-
Sparsity and incoherence in compressive sampling
-
2
-
E. Candes and J. Romberg. Sparsity and Incoherence in Compressive Sampling. Inverse problems, 23:969, 2007. 2
-
(2007)
Inverse Problems
, vol.23
, pp. 969
-
-
Candes, E.1
Romberg, J.2
-
8
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
6
-
K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The Devil is in the Details: an Evaluation of Recent Feature Encoding Methods. In BMVC, 2011. 6
-
(2011)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
9
-
-
80053442434
-
The importance of encoding versus training with sparse coding and vector quantization
-
2, 6
-
A. Coates and A. Ng. The Importance of Encoding versus Training with Sparse Coding and Vector Quantization. In ICML, 2011. 2, 6
-
(2011)
ICML
-
-
Coates, A.1
Ng, A.2
-
10
-
-
77955422240
-
Object detection with discriminatively trained part-based models
-
7
-
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object Detection with Discriminatively Trained Part-Based Models. IEEE PAMI, 32:1627-1645, 2010. 7
-
(2010)
IEEE PAMI
, vol.32
, pp. 1627-1645
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
11
-
-
85067032737
-
On feature combination for multiclass object classification
-
6
-
P. Gehler and S. Nowozin. On Feature Combination for Multiclass Object Classification. In ICCV, 2009. 6
-
(2009)
ICCV
-
-
Gehler, P.1
Nowozin, S.2
-
12
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
1, 2
-
G. Hinton, S. Osindero, and Y. Teh. A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 18(7):1527-1554, 2006. 1, 2
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.1
Osindero, S.2
Teh, Y.3
-
13
-
-
80052901219
-
Learning a discriminative dictionary for sparse coding via label consistent k-svd
-
6
-
Z. Jiang, Z. Lin, and L. Davis. Learning a Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD. In CVPR, 2011. 6
-
(2011)
CVPR
-
-
Jiang, Z.1
Lin, Z.2
Davis, L.3
-
15
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
1, 2
-
A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet Classification with Deep Convolutional Neural Networks. In NIPS, 2012. 1, 2
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.3
-
16
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
4, 6
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In CVPR, 2006. 4, 6
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
17
-
-
84867135575
-
Building high-level features using large scale unsupervised learning
-
1, 2
-
Q. Le, M. Ranzato, R. Monga, M. Devin, K. Chen, G. Corrado, J. Dean, and A. Ng. Building High-Level Features Using Large Scale Unsupervised Learning. In ICML, 2012. 1, 2
-
(2012)
ICML
-
-
Le, Q.1
Ranzato, M.2
Monga, R.3
Devin, M.4
Chen, K.5
Corrado, G.6
Dean, J.7
Ng, A.8
-
18
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
2
-
H. Lee, R. Grosse, R. Ranganath, and A. Ng. Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations. In ICML, 2009. 2
-
(2009)
ICML
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.4
-
19
-
-
51949103923
-
Discriminative learned dictionaries for local image analysis
-
2
-
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Discriminative Learned Dictionaries for Local Image Analysis. In CVPR, 2008. 2
-
(2008)
CVPR
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
Zisserman, A.5
-
20
-
-
84866648984
-
Local naive bayes nearest neighbor for image classification
-
6
-
S. McCann and D. Lowe. Local Naive Bayes Nearest Neighbor for image classification. In CVPR, 2012. 6
-
(2012)
CVPR
-
-
McCann, S.1
Lowe, D.2
-
21
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
2
-
B. Olshausen and D. Field. Emergence of Simple-cell Receptive Field Properties by Learning a Sparse Code for Natural Images. Nature, 381:607-609, 1996. 2
-
(1996)
Nature
, vol.381
, pp. 607-609
-
-
Olshausen, B.1
Field, D.2
-
22
-
-
84856650974
-
Scene recognition and weakly supervised object localization with deformable part-based models
-
7
-
M. Pandey and S. Lazebnik. Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models. In ICCV, 2011. 7
-
(2011)
ICCV
-
-
Pandey, M.1
Lazebnik, S.2
-
25
-
-
0027814133
-
Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition
-
3
-
Y. Pati, R. Rezaiifar, and P. Krishnaprasad. Orthogonal Matching Pursuit: Recursive Function Approximation with Applications to Wavelet Decomposition. In The Twenty-Seventh Asilomar Conference on Signals, Systems and Computers, pages 40-44, 1993. 3
-
(1993)
The Twenty-Seventh Asilomar Conference on Signals, Systems and Computers
, pp. 40-44
-
-
Pati, Y.1
Rezaiifar, R.2
Krishnaprasad, P.3
-
26
-
-
77955994663
-
Classification and clustering via dictionary learning with structured incoherence and shared features
-
3
-
I. Ramirez, P. Sprechmann, and G. Sapiro. Classification and Clustering via Dictionary Learning with Structured Incoherence and Shared Features. In CVPR, 2010. 3
-
(2010)
CVPR
-
-
Ramirez, I.1
Sprechmann, P.2
Sapiro, G.3
-
27
-
-
84863049755
-
Efficient learning of sparse, distributed, convolutional feature representations for object recognition
-
6
-
K. Sohn, D. Jung, H. Lee, and A. Hero III. Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition. In ICCV, 2011. 6
-
(2011)
ICCV
-
-
Sohn, K.1
Jung, D.2
Lee, H.3
Hero III, A.4
-
28
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
2, 6
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Guo. Locality-constrained Linear Coding for Image Classification. In CVPR, 2010. 2, 6
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Guo, Y.6
-
29
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
6
-
J. Yang, K. Yu, Y. Gong, and T. Huang. Linear Spatial Pyramid Matching using Sparse Coding for Image Classification. In CVPR, 2009. 6
-
(2009)
CVPR
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
30
-
-
84877743496
-
Unsupervised template learning for fine-grained object recognition
-
7
-
S. Yang, L. Bo, J. Wang, and L. Shapiro. Unsupervised template learning for fine-grained object recognition. In NIPS, 2012. 7
-
(2012)
NIPS
-
-
Yang, S.1
Bo, L.2
Wang, J.3
Shapiro, L.4
-
31
-
-
80052872695
-
Combining randomization and discrimination for fine-grained image categorization
-
7
-
B. Yao, A. Khosla, and L. Fei-Fei. Combining Randomization and Discrimination for Fine-grained Image Categorization. CVPR, 2011. 7
-
(2011)
CVPR
-
-
Yao, B.1
Khosla, A.2
Fei-Fei, L.3
-
32
-
-
80052889296
-
Learning image representations from the pixel level via hierarchical sparse coding
-
1, 2, 6
-
K. Yu, Y. Lin, and J. Lafferty. Learning Image Representations from the Pixel Level via Hierarchical Sparse Coding. In CVPR, 2011. 1, 2, 6
-
(2011)
CVPR
-
-
Yu, K.1
Lin, Y.2
Lafferty, J.3
-
33
-
-
84856686379
-
Adaptive deconvolutional networks for mid and high level feature learning
-
2
-
M. Zeiler, G. Taylor, and R. Fergus. Adaptive Deconvolutional Networks for Mid and High Level Feature Learning. In ICCV, 2011. 2
-
(2011)
ICCV
-
-
Zeiler, M.1
Taylor, G.2
Fergus, R.3
-
34
-
-
84866662426
-
Pose pooling kernels for sub-category recognition
-
7
-
N. Zhang, R. Farrell, and T. Darrell. Pose Pooling Kernels for Sub-category Recognition. CVPR, 2012. 7
-
(2012)
CVPR
-
-
Zhang, N.1
Farrell, R.2
Darrell, T.3
|