14.2.4 Dictionary Learning, Classification

Chapter Contents (Back)
Dictionary Learning.

Rebollo-Neira, L.,
Dictionary redundancy elimination,
VISP(151), No. 1, February 2004, pp. 31-34.
IEEE Abstract. 0403
Signal as linear combination of waveforms. BibRef

Peyre, G.[Gabriel], Fadili, J.M.[Jalal M.], Starck, J.L.[Jean-Luc],
Learning The Morphological Diversity,
SIIMS(3), No. 3, 2010, pp. 646-669.
DOI Link 1011
adaptive morphological component analysis; sparsity; image separation; inpainting; dictionary learning; cartoon images; texture; wavelets BibRef

Li, Y.F.[Ya-Feng], Feng, X.C.[Xiang-Chu],
Image decomposition via learning the morphological diversity,
PRL(33), No. 2, 15 January 2012, pp. 111-120.
Elsevier DOI 1112
Morphological component analysis; Image decomposition; Sparse representation; Dictionary learning BibRef

Castrodad, A.[Alexey], Xing, Z.M.[Zheng-Ming], Greer, J.B.[John B.], Bosch, E.[Edward], Carin, L.[Lawrence], Sapiro, G.[Guillermo],
Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery,
GeoRS(49), No. 11, November 2011, pp. 4263-4281.
IEEE DOI 1112
BibRef
Earlier:
Discriminative sparse representations in hyperspectral imagery,
ICIP10(1313-1316).
IEEE DOI 1009
BibRef

Xing, Z.M.[Zheng-Ming], Zhou, M.Y.[Ming-Yuan], Castrodad, A.[Alexey], Sapiro, G.[Guillermo], Carin, L.[Lawrence],
Dictionary Learning for Noisy and Incomplete Hyperspectral Images,
SIIMS(5), No. 1 2012, pp. 33-56.
DOI Link 1201
BibRef

Zhou, M.Y.[Ming-Yuan], Carin, L.[Lawrence],
Negative Binomial Process Count and Mixture Modeling,
PAMI(37), No. 2, February 2015, pp. 307-320.
IEEE DOI 1502
Analytical models BibRef

Liu, Q.G.[Qie-Gen], Wang, S.S.[Shan-Shan], Luo, J.H.[Jian-Hua],
A novel predual dictionary learning algorithm,
JVCIR(23), No. 1, January 2012, pp. 182-193.
Elsevier DOI 1112
Dictionary learning; Sparse representation; Predual proximal point algorithm; Bregman iteration method; Iterated refinement property; Gradient descent; Majorization-minimization; Image denoising BibRef

Feldman, D.[Dan], Feigin, M.[Micha], Sochen, N.A.[Nir A.],
Learning Big (Image) Data via Coresets for Dictionaries,
JMIV(46), No. 3, July 2013, pp. 276-291.
WWW Link. 1306
BibRef
Earlier: A2, A1, A3:
From High Definition Image to Low Space Optimization,
SSVM11(459-470).
Springer DOI 1201
Dictionary learning. BibRef

Wang, D.H.[Dong-Hui], Kong, S.[Shu],
A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories,
PR(47), No. 2, 2014, pp. 885-898.
Elsevier DOI 1311
BibRef
Earlier: A2, A1:
Transfer heterogeneous unlabeled data for unsupervised clustering,
ICPR12(1193-1196).
WWW Link. 1302
BibRef
Earlier: A2, A1:
A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality,
ICPR12(771-774).
WWW Link. 1302
Dictionary learning BibRef

Sahoo, S.K., Makur, A.,
Dictionary Training for Sparse Representation as Generalization of K-Means Clustering,
SPLetters(20), No. 6, 2013, pp. 587-590.
IEEE DOI 1307
K-means clustering; K-SVD; BibRef

Sadeghi, M., Babaie-Zadeh, M., Jutten, C.,
Dictionary Learning for Sparse Representation: A Novel Approach,
SPLetters(20), No. 12, 2013, pp. 1195-1198.
IEEE DOI 1311
dictionaries BibRef

Jiang, Z.L.[Zhuo-Lin], Lin, Z.[Zhe], Davis, L.S.[Larry S.],
Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition,
PAMI(35), No. 11, 2013, pp. 2651-2664.
IEEE DOI 1309
Discriminative dictionary learning BibRef

Zhou, Y.[Yin], Barner, K.E.,
Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction,
SPLetters(20), No. 4, April 2013, pp. 335-338.
IEEE DOI 1303
BibRef

Feng, Z.Z.[Zhi-Zhao], Yang, M.[Meng], Zhang, L.[Lei], Liu, Y.[Yan], Zhang, D.[David],
Joint Discriminative Dimensionality Reduction and Dictionary Learning for Face Recognition,
PR(46), No. 8, August 2013, pp. 2134-2143.
Elsevier DOI 1304
Dictionary learning; Face recognition; Dimensionality reduction; Collaborative representation BibRef

Yang, M.[Meng], Feng, Z.Z.[Zhi-Zhao], Shiu, S.C.K.[Simon C.K.], Zhang, L.[Lei],
Fast and robust face recognition via coding residual map learning based adaptive masking,
PR(47), No. 2, 2014, pp. 535-543.
Elsevier DOI 1311
Robust face recognition See also Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary. BibRef

Li, P., Zeng, H., Wang, Q., Shiu, S.C.K.[Simon Chi-Keung], Zhang, L.[Lei],
High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians,
IP(26), No. 7, July 2017, pp. 3372-3384.
IEEE DOI 1706
Covariance matrices, Dictionaries, Encoding, Feature extraction, Image coding, Kernel, Manifolds, Image classification, high-order local pooling (HO-LP), manifold of Gaussians BibRef

Cao, X.C.[Xiao-Chun], Wei, X.X.[Xing-Xing], Han, Y.H.[Ya-Hong], Yang, Y.[Yi], Sebe, N.[Nicu], Hauptmann, A.G.[Alexander G.],
Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation,
CVIU(117), No. 8, August 2013, pp. 934-946.
Elsevier DOI 1306
Image patterns at different levels. Sparse coding; Region tagging; Sparse reconstruction; Unified hierarchical structure; Tree-guided dictionary learning BibRef

Yang, Y.[Yi], Ma, Z.G.[Zhi-Gang], Nie, F.P.[Fei-Ping], Chang, X.J.[Xiao-Jun], Hauptmann, A.G.[Alexander G.],
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization,
IJCV(113), No. 2, June 2015, pp. 113-127.
Springer DOI 1506
BibRef

Liu, H.D.[Hui-Dong], Yang, M.[Ming], Gao, Y.[Yang], Yin, Y.L.[Yi-Long], Chen, L.[Liang],
Bilinear Discriminative Dictionary Learning for Face Recognition,
PR(47), No. 5, 2014, pp. 1835-1845.
Elsevier DOI 1402
Bilinear BibRef

Liang, J., Zhang, M., Zeng, X., Yu, G.,
Distributed Dictionary Learning for Sparse Representation in Sensor Networks,
IP(23), No. 6, June 2014, pp. 2528-2541.
IEEE DOI 1406
Clustering algorithms BibRef

Rusu, C., Dumitrescu, B., Tsaftaris, S.A.,
Explicit Shift-Invariant Dictionary Learning,
SPLetters(21), No. 1, January 2014, pp. 6-9.
IEEE DOI 1402
learning (artificial intelligence) BibRef

Soltani-Farani, A., Rabiee, H.R.[Hamid R.], Hosseini, S.A.,
Spatial-Aware Dictionary Learning for Hyperspectral Image Classification,
GeoRS(53), No. 1, January 2015, pp. 527-541.
IEEE DOI 1410
geophysical image processing BibRef

Tillmann, A.M.,
On the Computational Intractability of Exact and Approximate Dictionary Learning,
SPLetters(22), No. 1, January 2015, pp. 45-49.
IEEE DOI 1410
approximation theory BibRef

Abrol, V.[Vinayak], Sharma, P.[Pulkit], Sao, A.K.[Anil Kumar],
Greedy dictionary learning for kernel sparse representation based classifier,
PRL(78), No. 1, 2016, pp. 64-69.
Elsevier DOI 1606
Classification BibRef

Wang, Y.[Yi], Li, B.[Bin], Wang, Y.[Yang], Chen, F.[Fang], Zhang, B.[Bang], Li, Z.D.[Zhi-Dong],
Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise,
CVIU(150), No. 1, 2016, pp. 31-43.
Elsevier DOI 1608
Heterogeneous noise BibRef

Wang, Q.L.[Qi-Long], Li, P.H.[Pei-Hua], Zhang, L.[Lei], Zuo, W.M.[Wang-Meng],
Towards effective codebookless model for image classification,
PR(59), No. 1, 2016, pp. 63-71.
Elsevier DOI 1609
Codebookless model BibRef

Wang, Q.L.[Qi-Long], Deng, X.N.[Xiao-Na], Li, P.H.[Pei-Hua], Zhang, L.[Lei],
Ask the dictionary: Soft-assignment location-orientation pooling for image classification,
ICIP15(4570-4574)
IEEE DOI 1512
Bag-of-visual words BibRef

Liu, G.C.[Guang-Can], Liu, Q.S.[Qing-Shan], Li, P.[Ping],
Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit,
PAMI(39), No. 1, January 2017, pp. 47-60.
IEEE DOI 1612
Recovering the authentic samples that lie on a union of multiple subspaces from their corrupted observations. Coherence BibRef

Yang, J.[Jimei], Yang, M.H.[Ming-Hsuan],
Top-Down Visual Saliency via Joint CRF and Dictionary Learning,
PAMI(39), No. 3, March 2017, pp. 576-588.
IEEE DOI 1702
BibRef
Earlier: CVPR12(2296-2303).
IEEE DOI 1208
Computational modeling BibRef

Kim, S., Cai, R., Park, K., Kim, S., Sohn, K.,
Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning,
IP(26), No. 2, February 2017, pp. 884-899.
IEEE DOI 1702
image classification BibRef

Zhou, P., Zhang, C., Lin, Z.,
Bilevel Model-Based Discriminative Dictionary Learning for Recognition,
IP(26), No. 3, March 2017, pp. 1173-1187.
IEEE DOI 1703
learning (artificial intelligence) BibRef

Liu, L.[Lina], Ma, S.[Shiwei], Rui, L.[Ling], Lu, J.[Jian],
Locality constrained dictionary learning for non-linear dimensionality reduction and classification,
IET-CV(11), No. 1, February 2017, pp. 60-67.
DOI Link 1703
BibRef

Wang, X., Gu, Y.,
Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization,
IP(26), No. 8, August 2017, pp. 3859-3873.
IEEE DOI 1707
computational complexity, face recognition, image classification, image coding, image representation, image texture, computational efficiency, cross-label suppression, dictionary learning, face recognition, group regularization, image classification, image coding, image representations, object categorization, scene classification, sport action categorization, texture recognition, Dictionaries, Face recognition, Feature extraction, Image coding, Image reconstruction, Laplace equations, Training, Discriminative dictionary learning, cross-label suppression, group regularization, image classification, supervised, learning BibRef

Wang, Z.J.[Zheng-Jue], Wang, Y.H.[Ying-Hua], Liu, H.W.[Hong-Wei], Zhang, H.[Hao],
Structured Kernel Dictionary Learning With Correlation Constraint for Object Recognition,
IP(26), No. 9, September 2017, pp. 4578-4590.
IEEE DOI 1708
image classification, learning (artificial intelligence), matrix algebra, object recognition, optimisation, support vector machines, classification mechanism analysis, correlation constrained structured kernel, dictionary learning, kernel matrix embedded, linear SVM classifier, object recognition, structured kernel KSVD, structured kernel dictionary, structured kernel dictionary learning, synthetic aperture radar vehicle target recognition, Correlation, Dictionaries, Image reconstruction, Kernel, Linear programming, Object recognition, Support vector machines, Correlation constraint, KSVD, discriminative code, kernel method, non-linear, dictionary learning BibRef

Rong, Y.[Yi], Xiong, S.W.[Sheng-Wu], Gao, Y.S.[Yong-Sheng],
Low-rank double dictionary learning from corrupted data for robust image classification,
PR(72), No. 1, 2017, pp. 419-432.
Elsevier DOI 1708
BibRef
Earlier:
Robust Image Classification via Low-Rank Double Dictionary Learning,
MMMod17(I: 316-328).
Springer DOI 1701
Low-rank, dictionary, learning BibRef

Vu, T.H., Monga, V.,
Fast Low-Rank Shared Dictionary Learning for Image Classification,
IP(26), No. 11, November 2017, pp. 5160-5175.
IEEE DOI 1709
BibRef
Earlier:
Learning a low-rank shared dictionary for object classification,
ICIP16(4428-4432)
IEEE DOI 1610
image classification, Fisher discrimination dictionary learning, fast low-rank shared dictionary learning, image classification, image data sets, Algorithm design and analysis, Complexity theory, Dictionaries, Image processing, Learning systems, Sparse matrices, Training, Sparse coding, dictionary learning, low-rank models, object classification, shared features BibRef

Zhang, G., Sun, H., Porikli, F.M.[Fatih M.], Liu, Y., Sun, Q.,
Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification,
IP(26), No. 12, December 2017, pp. 5922-5935.
IEEE DOI 1710
Dictionaries, Image reconstruction, Sparse matrices, Dictionary learning, domain adaptation, BibRef


Nilsson, M.,
Sparse coding with unity range codes and label consistent discriminative dictionary learning,
ICPR16(3186-3191)
IEEE DOI 1705
Decoding, Dictionaries, Encoding, Indexes, Minimization, Optimization, Pattern, recognition BibRef

Zhang, T.[Tong], Porikli, F.M.[Fatih M.],
Sparse Coding on Cascaded Residuals,
ACCV16(IV: 19-34).
Springer DOI 1704
combine dictionary learning and hierarchical image representation. BibRef

Song, Y.[Yang], Zhang, Z.F.[Zhi-Fei], Liu, L.[Liu], Rahimpour, A.[Alireza], Qi, H.R.[Hai-Rong],
Dictionary Reduction: Automatic Compact Dictionary Learning for Classification,
ACCV16(I: 305-320).
Springer DOI 1704
BibRef

Xie, Y.[Yurui], Porikli, F.M.[Fatih M.], He, X.M.[Xu-Ming],
Object-Aware Dictionary Learning with Deep Features,
ACCV16(II: 237-253).
Springer DOI 1704
BibRef

Liu, J.[Jie], Tang, S.[Sheng], Li, Y.[Yu],
Collaborative Dictionary Learning and Soft Assignment for Sparse Coding of Image Features,
MMMod17(I: 443-451).
Springer DOI 1701
BibRef

Lai, B.S.[Bai-Sheng], Gong, X.J.[Xiao-Jin],
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing,
CVPR16(3630-3639)
IEEE DOI 1612
BibRef

Huang, W., Sun, F., Cao, L., Zhao, D., Liu, H., Harandi, M.,
Sparse Coding and Dictionary Learning with Linear Dynamical Systems,
CVPR16(3938-3947)
IEEE DOI 1612
BibRef

Tim, S.C.W.[Stefen Chan Wai], Rombaut, M.[Michele], Pellerin, D.[Denis],
Multi-layer Dictionary Learning for Image Classification,
ACIVS16(522-533).
Springer DOI 1611
BibRef

Zhang, Y.[Yan], Ji, R.R.[Rong-Rong], Fan, X.P.[Xiao-Peng], Wang, Y.[Yan], Guo, F.[Feng], Gao, Y.[Yue], Zhao, D.B.[De-Bin],
Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference,
ECCV16(V: 858-874).
Springer DOI 1611
BibRef

Liu, Y.[Yang], Chen, W.[Wei], Chen, Q.[Qingchao], Wassell, I.[Ian],
Support Discrimination Dictionary Learning for Image Classification,
ECCV16(II: 375-390).
Springer DOI 1611
BibRef

Taalimi, A., Shams, H., Rahimpour, A., Khorsandi, R., Wang, W.[Wei], Guo, R.[Rui], Qi, H.,
Multimodal weighted dictionary learning,
AVSS16(173-179)
IEEE DOI 1611
Algorithm design and analysis BibRef

Taalimi, A.[Ali], Rahimpour, A.[Alireza], Capdevila, C.[Cristian], Zhang, Z.F.[Zhi-Fei], Qi, H.R.[Hai-Rong],
Robust coupling in space of sparse codes for multi-view recognition,
ICIP16(3897-3901)
IEEE DOI 1610
Cameras BibRef

Rong, Y.[Yi], Xiong, S.W.[Sheng-Wu], Gao, Y.S.[Yong-Sheng],
Discriminative dictionary pair learning from partially labeled data,
ICIP16(719-723)
IEEE DOI 1610
Decision support systems BibRef

Marsousi, M.[Mahdi], Li, X.Y.[Xing-Yu], Plataniotis, K.N.[Konstantinos N.],
Shape-included label-consistent discriminative dictionary learning: An approach to detect and segment multi-class objects in images,
ICIP16(729-733)
IEEE DOI 1610
Dictionaries BibRef

Reichman, D., Malof, J.M., Collins, L.M.,
Leveraging seed dictionaries to improve dictionary learning,
ICIP16(3723-3727)
IEEE DOI 1610
Decision support systems BibRef

Matiz, S., Barner, K.E.,
Label consistent recursive least squares dictionary learning for image classification,
ICIP16(1888-1892)
IEEE DOI 1610
Databases BibRef

Cui, S.Y.[Shi-Yong], Schwarz, G.[Gottfried], Datcu, M.[Mihai],
Image classification: No features, no clustering,
ICIP15(1960-1964)
IEEE DOI 1512
Bag-of-words (BoW) BibRef

Guo, J.[Jun], Guo, Y.Q.[Yan-Qing], Li, Y.[Yi], Wang, B.[Bo], Li, M.[Ming],
Locality sensitive discriminative dictionary learning,
ICIP15(1558-1562)
IEEE DOI 1512
Discriminative dictionary learning BibRef

Liu, B.D.[Bao-Di], Shen, B.[Bin], Li, X.[Xue],
Locality sensitive dictionary learning for image classification,
ICIP15(3807-3811)
IEEE DOI 1512
Dictionary Learning BibRef

Haghiri, S.[Siavash], Rabiee, H.R.[Hamid R.], Soltani-Farani, A.[Ali], Hosseini, S.A.[Seyyed Abbas], Shadloo, M.[Maryam],
Locality preserving discriminative dictionary learning,
ICIP14(5242-5246)
IEEE DOI 1502
Accuracy BibRef

Cai, S.[Sijia], Zuo, W.M.[Wang-Meng], Zhang, L.[Lei], Feng, X.C.[Xiang-Chu], Wang, P.[Ping],
Support Vector Guided Dictionary Learning,
ECCV14(IV: 624-639).
Springer DOI 1408
BibRef

Chen, Z.Y.[Zhuo-Yuan], Wu, Y.[Ying],
Robust Dictionary Learning by Error Source Decomposition,
ICCV13(2216-2223)
IEEE DOI 1403
machine learning; robust statistics BibRef

Hawe, S.[Simon], Seibert, M.[Matthias], Kleinsteuber, M.[Martin],
Separable Dictionary Learning,
CVPR13(438-445)
IEEE DOI 1309
Compare to K-SVD. BibRef

Irie, G.[Go], Liu, D.[Dong], Li, Z.G.[Zhen-Guo], Chang, S.F.[Shih-Fu],
A Bayesian Approach to Multimodal Visual Dictionary Learning,
CVPR13(329-336)
IEEE DOI 1309
co-clustering; multimodal; visual dictionary BibRef

Lian, X.C.[Xiao-Chen], Li, Z.W.[Zhi-Wei], Lu, B.L.[Bao-Liang], Zhang, L.[Lei],
Max-Margin Dictionary Learning for Multiclass Image Categorization,
ECCV10(IV: 157-170).
Springer DOI 1009
for use with bag of visual terms (words) and SVM classifiers. BibRef

Ramirez, I.[Ignacio], Sprechmann, P.[Pablo], Sapiro, G.[Guillermo],
Classification and clustering via dictionary learning with structured incoherence and shared features,
CVPR10(3501-3508).
IEEE DOI Video of talk:
WWW Link. 1006
Model the data rather than just using the centroid. BibRef

Zhang, R.G.[Rong-Guo], Wang, C.H.[Chun-Heng], Xiao, B.H.[Bai-Hua],
A strategy of classification via sparse dictionary learned by non-negative K-SVD,
Subspace09(117-122).
IEEE DOI 0910
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Semi-Supervised Clustering, Semi-Supervised Learning, Classification .


Last update:Nov 18, 2017 at 20:56:18