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

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

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.W.[Shi-Wei], 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

Rong, Y.[Yi], Xiong, S.W.[Sheng-Wu], Gao, Y.S.[Yong-Sheng],
Double Graph Regularized Double Dictionary Learning for Image Classification,
IP(29), 2020, pp. 7707-7721.
IEEE DOI 2007
Class-specific information, class-shared information, double graph regularization, double dictionary learning, similarity preserving 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

Zhang, G., Sun, H., Zheng, Y., Xia, G., Feng, L., Sun, Q.,
Optimal Discriminative Projection for Sparse Representation-Based Classification via Bilevel Optimization,
CirSysVideo(30), No. 4, April 2020, pp. 1065-1077.
IEEE DOI 2004
Optimization, Sparse matrices, Training, Feature extraction, Dimensionality reduction, Linear programming, Sun, dictionary learning BibRef

Wang, J., Guo, Y., Guo, J., Luo, X., Kong, X.,
Class-Aware Analysis Dictionary Learning for Pattern Classification,
SPLetters(24), No. 12, December 2017, pp. 1822-1826.
IEEE DOI 1712
image classification, image coding, iterative methods, matrix algebra, minimisation, CADL model, max-margin BibRef

Hu, J.L.[Jun-Lin], Tan, Y.P.[Yap-Peng],
Nonlinear dictionary learning with application to image classification,
PR(75), No. 1, 2018, pp. 282-291.
Elsevier DOI 1712
Nonlinear dictionary learning BibRef

Chun, I.Y., Fessler, J.A.,
Convolutional Dictionary Learning: Acceleration and Convergence,
IP(27), No. 4, April 2018, pp. 1697-1712.
IEEE DOI 1802
AWGN, convex programming, convolution, gradient methods, image denoising, image reconstruction, majorization matrix design BibRef

Shu, X.B.[Xiang-Bo], Tang, J.H.[Jin-Hui], Qi, G.J.[Guo-Jun], Li, Z.C.[Ze-Chao], Jiang, Y.G.[Yu-Gang], Yan, S.C.[Shui-Cheng],
Image Classification With Tailored Fine-Grained Dictionaries,
CirSysVideo(28), No. 2, February 2018, pp. 454-467.
IEEE DOI 1802
Computer science, Dictionaries, Image reconstruction, Learning systems, Optimization, Sparse matrices, Training, universal dictionary (UD) BibRef

Su, H.J.[Hong-Jun], Zhao, B.[Bo], Du, Q.[Qian], Du, P.J.[Pei-Jun], Xue, Z.H.[Zhao-Hui],
Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery,
GeoRS(56), No. 4, April 2018, pp. 2467-2484.
IEEE DOI 1804
Collaboration, Dictionaries, Hyperspectral imaging, Machine learning, Shape, Training, multifeature learning BibRef

Li, W.[Wei], Zhang, Y.X.[Yu-Xiang], Liu, N.[Na], Du, Q.[Qian], Tao, R.[Ran],
Structure-Aware Collaborative Representation for Hyperspectral Image Classification,
GeoRS(57), No. 9, September 2019, pp. 7246-7261.
IEEE DOI 1909
Training, Testing, Hyperspectral imaging, Cathode ray tubes, Sparse matrices, Image reconstruction, Hyperspectral image, Tikhonov regularization BibRef

Su, H.J.[Hong-Jun], Yu, Y., Du, Q.[Qian], Du, P.J.[Pei-Jun],
Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation,
GeoRS(58), No. 6, June 2020, pp. 3778-3790.
IEEE DOI 2005
Bagging, boosting, ensemble learning, hyperspectral imagery, tangent space collaborative representation BibRef

Su, H.J.[Hong-Jun], Zhao, B.[Bo], Du, Q.[Qian], Du, P.J.[Pei-Jun],
Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification,
GeoRS(57), No. 2, February 2019, pp. 1230-1241.
IEEE DOI 1901
Correlation, Kernel, Training, Collaboration, Testing, Hyperspectral imaging, spatial correlation feature BibRef

Du, P.J.[Pei-Jun], Gan, L.[Le], Xia, J.S.[Jun-Shi], Wang, D.M.[Da-Ming],
Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification,
GeoRS(56), No. 8, August 2018, pp. 4664-4677.
IEEE DOI 1808
geophysical image processing, image classification, image representation, learning (artificial intelligence), multiple kernel learning (MKL) BibRef

Liu, Z.[Zhou], Yu, L.[Lei], Sun, H.[Hong],
Image restoration via Bayesian dictionary learning with nonlocal structured beta process,
JVCIR(52), 2018, pp. 159-169.
Elsevier DOI 1804
Nonparametric Bayesian, Beta process, Image restoration, Nonlocal structure prior, Dictionary learning BibRef

Schmitz, M.A.[Morgan A.], Heitz, M.[Matthieu], Bonneel, N.[Nicolas], Ngolè, F.[Fred], Coeurjolly, D.[David], Cuturi, M.[Marco], Peyre, G.[Gabriel], Starck, J.L.[Jean-Luc],
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning,
SIIMS(11), No. 1, 2018, pp. 643-678.
DOI Link 1804
BibRef

Wang, S., Wang, M., Yang, S., Zhang, K.,
Salient Region Detection via Discriminative Dictionary Learning and Joint Bayesian Inference,
CirSysVideo(28), No. 5, May 2018, pp. 1116-1129.
IEEE DOI 1805
Bayes methods, Computational modeling, Dictionaries, Image color analysis, Probabilistic logic, Reliability, visual saliency modeling BibRef

Zhan, Y.J.[Yun-Jun], Dai, T.[Tengda], Huang, J.J.[Jie-Jun], Dong, Y.S.[Yu-Sen], Ye, F.W.[Fa-Wang], Tang, C.[Cong],
Double iterative optimal dictionary learning-based SAR image filtering method,
SIViP(12), No. 4, May 2018, pp. 783-790.
Springer DOI 1805
BibRef

Liu, J., Garcia-Cardona, C., Wohlberg, B., Yin, W.,
First- and Second-Order Methods for Online Convolutional Dictionary Learning,
SIIMS(11), No. 2, 2018, pp. 1589-1628.
DOI Link 1807
BibRef

Wang, Y., Yao, Q.M.[Quan-Ming], Kwok, J.T.[James T.], Ni, L.M.,
Scalable Online Convolutional Sparse Coding,
IP(27), No. 10, October 2018, pp. 4850-4859.
IEEE DOI 1808
convolution, frequency-domain analysis, learning (artificial intelligence), matrix algebra, optimisation, dictionary learning BibRef

Yao, Q.M.[Quan-Ming], Kwok, J.T.[James T.], Wang, T.F.[Tai-Feng], Liu, T.Y.[Tie-Yan],
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers,
PAMI(41), No. 11, November 2019, pp. 2628-2643.
IEEE DOI 1910
Acceleration, Sparse matrices, Optimization, Approximation algorithms, Robustness, Convergence, matrix completion BibRef

Fakhar, B.[Babak], Kanan, H.R.[Hamidreza Rashidy], Behrad, A.[Alireza],
Learning an event-oriented and discriminative dictionary based on an adaptive label-consistent K-SVD method for event detection in soccer videos,
JVCIR(55), 2018, pp. 489-503.
Elsevier DOI 1809
Soccer videos, Event detection, Sparse coding, Supervised dictionary learning, Adaptive discriminative dictionary learning BibRef

Saragadam, V., Li, X., Sankaranarayanan, A.C.,
Cross-Scale Predictive Dictionaries,
IP(28), No. 2, February 2019, pp. 803-814.
IEEE DOI 1811
approximation theory, image representation, inverse problems, cross-scale predictive dictionaries, sparse representation, multiscale modeling BibRef

Anselmi, F.[Fabio], Evangelopoulos, G.[Georgios], Rosasco, L.[Lorenzo], Poggio, T.[Tomaso],
Symmetry-adapted representation learning,
PR(86), 2019, pp. 201-208.
Elsevier DOI 1811
Representation learning, Equivariant representations, Invariant representations, Dictionary learning, Data transformations BibRef

Zhang, T.[Tong], Porikli, F.M.[Fatih M.],
Cascade residuals guided nonlinear dictionary learning,
CVIU(173), 2018, pp. 86-97.
Elsevier DOI 1901
BibRef
Earlier:
Sparse Coding on Cascaded Residuals,
ACCV16(IV: 19-34).
Springer DOI 1704
Award, ACCV. Sparse coding, Dictionary learning combine dictionary learning and hierarchical image representation. 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, B.D.[Bao-Di], Xie, W.Y.[Wen-Yang], Meng, J.[Jie], Li, Y.[Ye], Wang, Y.J.[Yan-Jiang],
Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Liu, B.D.[Bao-Di], Meng, J.[Jie], Xie, W.Y.[Wen-Yang], Shao, S.[Shuai], Li, Y.[Ye], Wang, Y.J.[Yan-Jiang],
Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wei, W.[Wei], Ma, M.T.[Meng-Ting], Wang, C.[Cong], Zhang, L.[Lei], Zhang, P.[Peng], Zhang, Y.N.[Yan-Ning],
A Novel Analysis Dictionary Learning Model Based Hyperspectral Image Classification Method,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wu, F.[Fei], Dong, X.[Xiwei], Han, L.[Lu], Jing, X.Y.[Xiao-Yuan], Ji, Y.M.[Yi-Mu],
Multi-View Synthesis and Analysis Dictionaries Learning for Classification,
IEICE(E102-D), No. 3, March 2019, pp. 659-662.
WWW Link. 1904
BibRef

Song, J.Q.[Jian-Qiang], Xie, X.M.[Xue-Mei], Shi, G.M.[Guang-Ming], Dong, W.S.[Wei-Sheng],
Multi-layer discriminative dictionary learning with locality constraint for image classification,
PR(91), 2019, pp. 135-146.
Elsevier DOI 1904
Multi-layer discriminative dictionary learning, Locality constraint, Classifier training, Image classification BibRef

Sun, Y.L.[Yu-Lin], Shi, G.M.[Guang-Ming], Dong, W.S.[Wei-Sheng], Xie, X.M.[Xue-Mei],
MADPL-net: Multi-layer attention dictionary pair learning network for image classification,
JVCIR(90), 2023, pp. 103728.
Elsevier DOI 2301
Multi-layer dictionary learning, Attention dictionary pair learning, Deep encoder, Image classification BibRef

Peng, G.,
Adaptive ADMM for Dictionary Learning in Convolutional Sparse Representation,
IP(28), No. 7, July 2019, pp. 3408-3422.
IEEE DOI 1906
image representation, learning (artificial intelligence), numerical analysis, adaptive ADMM, non-convex and non-smooth optimization alternating direction method of multipliers (ADMM) BibRef

Tang, H.Z.[Hong-Zhong], Li, X.[Xiao], Zhang, X.G.[Xiao-Gang], Zhang, D.B.[Dong-Bo], Mao, L.Z.[Li-Zhen], Liu, T.[Ting],
Coherence-regularized discriminative dictionary learning for histopathological image classification,
SIViP(13), No. 5, July 2019, pp. 923-931.
Springer DOI 1906
BibRef

Shang, F.[Fei], Zhang, H.X.[Hua-Xiang], Sun, J.[Jiande], Liu, L.[Li],
Semantic consistency cross-modal dictionary learning with rank constraint,
JVCIR(62), 2019, pp. 259-266.
Elsevier DOI 1908
Cross-modal retrieval, Dictionary learning, Rank constraint BibRef

Song, X.R.[Xiao-Rui], Wu, L.[Lingda],
A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Mahdizadehaghdam, S., Panahi, A., Krim, H., Dai, L.,
Deep Dictionary Learning: A PARametric NETwork Approach,
IP(28), No. 10, October 2019, pp. 4790-4802.
IEEE DOI 1909
feature extraction, image classification, image reconstruction, learning (artificial intelligence), deep dictionary learning, sparse representation BibRef

Iqbal, A., Seghouane, A.,
An alpha-Divergence-Based Approach for Robust Dictionary Learning,
IP(28), No. 11, November 2019, pp. 5729-5739.
IEEE DOI 1909
Dictionaries, Approximation algorithms, Sparse matrices, Machine learning, Maximum likelihood estimation, robust estimation BibRef

Miao, J.Q.[Jia-Qing], Zhou, X.B.[Xiao-Bing], Huang, T.Z.[Ting-Zhu], Zhang, T.B.[Ting-Bing], Zhou, Z.M.[Zhao-Ming],
A Novel Inpainting Algorithm for Recovering Landsat-7 ETM+ SLC-OFF Images Based on the Low-Rank Approximate Regularization Method of Dictionary Learning With Nonlocal and Nonconvex Models,
GeoRS(57), No. 9, September 2019, pp. 6741-6754.
IEEE DOI 1909
Earth, Artificial satellites, Remote sensing, Dictionaries, Strips, Image restoration, Approximation algorithms, Dynamic dictionary, nonlocal BibRef

Zheng, Y., Wang, X., Zhang, G., Xiao, B., Xiao, F., Zhang, J.,
Multi-Kernel Coupled Projections for Domain Adaptive Dictionary Learning,
MultMed(21), No. 9, September 2019, pp. 2292-2304.
IEEE DOI 1909
Kernel, Dictionaries, Training, Task analysis, Machine learning, Training data, Information science, Dictionary learning, domain adaptation BibRef

Tang, W., Panahi, A., Krim, H., Dai, L.,
Analysis Dictionary Learning Based Classification: Structure for Robustness,
IP(28), No. 12, December 2019, pp. 6035-6046.
IEEE DOI 1909
Dictionaries, Machine learning, Sparse matrices, Task analysis, Image coding, Optimization, Training, supervised learning BibRef

Veshki, F.G., Vorobyov, S.A.,
An Efficient Coupled Dictionary Learning Method,
SPLetters(26), No. 10, October 2019, pp. 1441-1445.
IEEE DOI 1909
compressed sensing, feature extraction, signal reconstruction, signal representation, sparse representation-based recognition, sparse representation BibRef

Ferraris, V.[Vinicius], Dobigeon, N.[Nicolas], Cavalcanti, Y.[Yanna], Oberlin, T.[Thomas], Chabert, M.[Marie],
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images,
CVIU(189), 2019, pp. 102817.
Elsevier DOI 1911
Change detection, Coupled dictionary learning, Multimodality, Optical images, SAR image BibRef

Xu, Y.[Yong], Li, Z.M.[Zheng-Ming], Tian, C.W.[Chun-Wei], Yang, J.[Jian],
Multiple vector representations of images and robust dictionary learning,
PRL(128), 2019, pp. 131-136.
Elsevier DOI 1912
Multiple vector representations, Dictionary learning, Image recognition BibRef

Fan, C.D.[Chang-De], Hu, C.H.[Chun-Hai], Liu, B.[Bin],
Linearized kernel dictionary learning with group sparse priors for action recognition,
VC(35), No. 12, December 2018, pp. 1797-1807.
WWW Link. 1912
BibRef

Schwab, E.[Evan], Haeffele, B.D.[Benjamin D.], Vidal, R.[René], Charon, N.[Nicolas],
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI,
SIIMS(12), No. 4, 2019, pp. 1967-2008.
DOI Link 1912
BibRef

Tim, S.C.W.[Stefen Chan Wai], Rombaut, M.[Michele], Pellerin, D.[Denis], Dutt, A.[Anuvabh],
Descriptor extraction based on a multilayer dictionary architecture for classification of natural images,
CVIU(191), 2020, pp. 102708.
Elsevier DOI 2002
BibRef
Earlier: A1, A2, A3, Only:
Multi-layer Dictionary Learning for Image Classification,
ACIVS16(522-533).
Springer DOI 1611
Supervised dictionary learning, Sparse coding, Classification BibRef

Wang, X., Li, Y., You, S., Li, H., Wang, S.,
Unidirectional Representation-Based Efficient Dictionary Learning,
CirSysVideo(30), No. 1, January 2020, pp. 59-74.
IEEE DOI 2002
face recognition, image classification, image representation, pattern classification, complex learning frameworks, image classification BibRef

Ren, J., Zhang, Z., Li, S., Wang, Y., Liu, G., Yan, S., Wang, M.,
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space,
IP(29), 2020, pp. 3941-3956.
IEEE DOI 2002
Hybrid salient representation, robust factorized compression, robust projective dictionary learning, classification BibRef

Peng, Y.[Yali], Li, L.J.[Ling-Jun], Liu, S.G.[Shi-Gang], Wang, X.[Xili], Li, J.[Jun],
Weighted constraint based dictionary learning for image classification,
PRL(130), 2020, pp. 99-106.
Elsevier DOI 2002
Image classification, Sparse representation, Dictionary learning, Discrimination performance BibRef

Song, A.[Anna], Uhlmann, V.[Virginie], Fageot, J.[Julien], Unser, M.[Michael],
Dictionary Learning for Two-Dimensional Kendall Shapes,
SIIMS(13), No. 1, 2020, pp. 141-175.
DOI Link 2004
BibRef

Wei, D.[Dong], Shen, X.B.[Xiao-Bo], Sun, Q.S.[Quan-Sen], Gao, X.Z.[Xi-Zhan], Yan, W.Z.[Wen-Zhu],
Prototype learning and collaborative representation using Grassmann manifolds for image set classification,
PR(100), 2020, pp. 107123.
Elsevier DOI 2005
Image set classification, Collaborative representation, Prototype learning, Grassmann manifolds BibRef

Singhal, V.[Vanika], Majumdar, A.[Angshul],
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning,
PR(100), 2020, pp. 107163.
Elsevier DOI 2005
Dictionary learning, Deep learning, Domain adaptation, Inverse problems BibRef

Ling, J., Chen, Z., Wu, F.,
Class-Oriented Discriminative Dictionary Learning for Image Classification,
CirSysVideo(30), No. 7, July 2020, pp. 2155-2166.
IEEE DOI 2007
Dictionaries, Machine learning, Training, Optimization, Task analysis, Linear programming, Image reconstruction, image classification BibRef

Tran, K.H., Mboula, F.M.N.[F. M. Ngolè], Starck, J.L., Prost, V.,
Semisupervised Dictionary Learning with Graph Regularized and Active Points,
SIIMS(13), No. 2, 2020, pp. 724-745.
DOI Link 2007
BibRef

Ataee, Z.[Zivar], Mohseni, H.[Hadis],
Structured dictionary learning using mixed-norms and group-sparsity constraint,
VC(36), No. 8, August 2020, pp. 1679-1692.
WWW Link. 2007
BibRef

Bueno, A.A., Silva, M.T.M.,
Gram-Schmidt-Based Sparsification for Kernel Dictionary,
SPLetters(27), 2020, pp. 1130-1134.
IEEE DOI 2007
Kernel-based-methods, dictionary sparsification, adaptive filtering, nonlinear signal processing BibRef

Zhang, Z., Ren, J., Jiang, W., Zhang, Z., Hong, R., Yan, S., Wang, M.,
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning,
CirSysVideo(30), No. 8, August 2020, pp. 2430-2446.
IEEE DOI 2008
Dictionaries, Sparse matrices, Machine learning, Data models, Manifolds, Laplace equations, Atomic measurements, classification BibRef

Han, N., Wu, J., Fang, X., Teng, S., Zhou, G., Xie, S., Li, X.,
Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition,
IP(29), 2020, pp. 9220-9233.
IEEE DOI 2010
Dictionaries, Machine learning, Image reconstruction, Image coding, Optimization, Training data, Dictionary learning, cross-domain recognition BibRef

Abdi, A.[Arash], Rahmati, M.[Mohammad], Ebadzadeh, M.M.[Mohammad M.],
Entropy based dictionary learning for image classification,
PR(110), 2021, pp. 107634.
Elsevier DOI 2011
Discriminative dictionary learning, Entropy, Entropy based dictionary learning, Image classification, Supervised dictionary learning BibRef

Yang, B.Q.[Bao-Qing], Guan, X.P.[Xin-Ping], Zhu, J.W.[Jun-Wu], Gu, C.C.[Chao-Chen], Wu, K.J.[Kai-Jie], Xu, J.J.[Jia-Jie],
SVMs multi-class loss feedback based discriminative dictionary learning for image classification,
PR(112), 2021, pp. 107690.
Elsevier DOI 2102
Dictionary learning, Feature representation, Feature learning, Feedback learning, Image classification BibRef

Li, Y.X.[Yan-Xia], Chai, Y.[Yi], Zhou, H.[Han], Yin, H.P.[Hong-Peng],
A novel dimension reduction and dictionary learning framework for high-dimensional data classification,
PR(112), 2021, pp. 107793.
Elsevier DOI 2102
High-dimensional data classification, Dimension reduction, Dictionary learning, Autoencoder BibRef

Lv, S.L.[Shi-Lin], Liang, J.Z.[Jiu-Zhen], Di, L.[Lan], Xia, Y.F.[Yun-Fei], Hou, Z.J.[Zhen-Jie],
A probabilistic collaborative dictionary learning-based approach for face recognition,
IET-IPR(15), No. 4, 2021, pp. 868-884.
DOI Link 2106
BibRef

Wang, L.C.[Li-Chun], Li, S.[Shuang], Wang, S.F.[Shao-Fan], Kong, D.[Dehui], Yin, B.C.[Bao-Cai],
Hardness-Aware Dictionary Learning: Boosting Dictionary for Recognition,
MultMed(23), 2021, pp. 2857-2867.
IEEE DOI 2109
Dictionaries, Training, Boosting, Task analysis, Face recognition, Visualization, Sparse representation, classification, AdaBoost, dictionary learning BibRef

Zamani, F.[Fatemeh], Jamzad, M.[Mansour], Rabiee, H.R.[Hamid R.],
Atom specific multiple kernel dictionary based Sparse Representation Classifier for medium scale image classification,
JVCIR(79), 2021, pp. 103228.
Elsevier DOI 2109
Sparse Representation Classifier, Multiple Kernel Learning, Kernel local weighting, Dictionary learning, Image classification BibRef

Gao, F.Y.[Fang-Yuan], Deng, X.[Xin], Xu, M.[Mai], Xu, J.Y.[Jing-Yi], Dragotti, P.L.[Pier Luigi],
Multi-Modal Convolutional Dictionary Learning,
IP(31), 2022, pp. 1325-1339.
IEEE DOI 2202
Dictionaries, Training, Memory management, Noise level, Toy manufacturing industry, Standards, Paints, image denoising BibRef

Song, A.H.[Andrew H.], Tolooshams, B.[Bahareh], Ba, D.[Demba],
Gaussian Process Convolutional Dictionary Learning,
SPLetters(29), 2022, pp. 95-99.
IEEE DOI 2202
Dictionaries, Kernel, Convolution, Signal to noise ratio, Machine learning, Gaussian processes, smoothness BibRef

Moreau, T.[Thomas], Gramfort, A.[Alexandre],
DiCoDiLe: Distributed Convolutional Dictionary Learning,
PAMI(44), No. 5, May 2022, pp. 2426-2437.
IEEE DOI 2204
Convolution, Dictionaries, Machine learning, Convolutional codes, Complexity theory, Data models, Computational modeling, coordinate descent BibRef

Huang, J.[Ju], Liu, K.[Kang], Li, X.L.[Xue-Long],
Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Luo, H.[Hao], Zhang, K.[Kaibing], Luo, S.[Shuang], Li, J.[Jie], Gao, X.B.[Xin-Bo],
Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition,
CirSysVideo(32), No. 4, April 2022, pp. 2425-2440.
IEEE DOI 2204
Dictionaries, Image reconstruction, Task analysis, Machine learning, Training, Technological innovation, Manifolds, reconstruction error BibRef

Pali, M.C.[Marie-Christine], Ruetz, S.[Simon], Schnass, K.[Karin],
Average Performance of OMP and Thresholding Under Dictionary Mismatch,
SPLetters(29), 2022, pp. 1077-1081.
IEEE DOI 2205
Dictionaries, Matching pursuit algorithms, Signal processing algorithms, Perturbation methods, thresholding BibRef

Wang, W.Z.[Wen-Zheng], Han, Y.Q.[Yu-Qi], Deng, C.W.[Chen-Wei], Li, Z.[Zhen],
Hyperspectral Image Classification via Deep Structure Dictionary Learning,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Charles, A.S.[Adam S.], Cermak, N.[Nathan], Affan, R.O.[Rifqi O.], Scott, B.B.[Benjamin B.], Schiller, J.[Jackie], Mishne, G.[Gal],
GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging,
IP(31), 2022, pp. 3509-3524.
IEEE DOI 2205
Imaging, Dictionaries, Machine learning, Shape, Neurons, Optical imaging, Dictionary learning, sparse coding, re-weighted L1 BibRef

Yao, Y.[Yuan], Wang, M.[Mengbi], Fan, G.H.[Gang-Hui], Liu, W.[Wendi], Ma, Y.[Yong], Mei, X.G.[Xiao-Guang],
Dictionary Learning-Cooperated Matrix Decomposition for Hyperspectral Target Detection,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Liu, F.S.[Feng-Shuang], Fu, J.[Jun], Wang, Q.[Qiang], Zhao, R.Q.[Rong-Qiang],
Tensor Dictionary Self-Taught Learning Classification Method for Hyperspectral Image,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Gou, J.P.[Jian-Ping], Yuan, X.[Xia], Du, L.[Lan], Xia, S.[Shuyin], Yi, Z.[Zhang],
Hierarchical Graph Augmented Deep Collaborative Dictionary Learning for Classification,
ITS(23), No. 12, December 2022, pp. 25308-25322.
IEEE DOI 2212
Dictionaries, Machine learning, Collaboration, Task analysis, Encoding, Sparse matrices, Testing, Deep dictionary learning, pattern classification BibRef

Gou, J.P.[Jian-Ping], He, X.[Xin], Du, L.[Lan], Yu, B.[Baosheng], Chen, W.[Wenbai], Yi, Z.[Zhang],
Hierarchical Locality-Aware Deep Dictionary Learning for Classification,
MultMed(26), 2024, pp. 447-461.
IEEE DOI 2402
Machine learning, Dictionaries, Encoding, Task analysis, Visualization, Feature extraction, Deep learning, pattern recognition BibRef

Rodríguez-Domínguez, U.[Ulises], Dalmau, O.[Oscar],
Standard simplex induced clustering with hierarchical deep dictionary learning,
SP:IC(112), 2023, pp. 116918.
Elsevier DOI 2302
Dictionary learning, Unsupervised learning, Image clustering, Neural network BibRef

Ma, Y.T.[Yu-Teng], Meng, J.[Junmin], Liu, B.[Baodi], Sun, L.[Lina], Zhang, H.[Hao], Ren, P.[Peng],
Dictionary Learning for Few-Shot Remote Sensing Scene Classification,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Gou, J.P.[Jian-Ping], Yuan, X.[Xia], Yu, B.[Baosheng], Yu, J.L.[Jia-Li], Yi, Z.[Zhang],
Intra- and Inter-Class Induced Discriminative Deep Dictionary Learning for Visual Recognition,
MultMed(25), 2023, pp. 1575-1583.
IEEE DOI 2305
Machine learning, Dictionaries, Visualization, Training, Task analysis, Testing, Optimization, Deep dictionary learning, visual recognition BibRef

Seghouane, A.K.[Abd-Krim], Iqbal, A.[Asif], Miri Rekavandi, A.[Aref],
RBDL: Robust block-Structured dictionary learning for block sparse representation,
PRL(172), 2023, pp. 89-96.
Elsevier DOI 2309
Dictionary learning, Block sparse representation, Robust, Low-rank BibRef

Seghouane, A.K.,
Robust Structured Dictionary Learning For Block Sparse Representations Using a-Divergence,
ICIP20(843-847)
IEEE DOI 2011
Dictionaries, Machine learning, Robustness, Sparse matrices, Approximation algorithms, Cost function, Encoding, robust. BibRef

Li, S.[Shuang], Wang, L.C.[Li-Chun], Wang, S.[Shaofan], Kong, D.[Dehui], Yin, B.C.[Bao-Cai],
Hierarchical Coupled Discriminative Dictionary Learning for Zero-Shot Learning,
CirSysVideo(33), No. 9, September 2023, pp. 4973-4984.
IEEE DOI 2310
BibRef


He, C.C.[Chu-Chu], Kuang, Z.Y.[Zhen-Yu], Zhong, Y.J.[Yi-Jin], Ding, X.H.[Xing-Hao], Huang, Y.[Yue],
Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning,
ICIP23(2520-2524)
IEEE DOI 2312
BibRef

Gkillas, A., Ampeliotis, D., Berberidis, K.,
Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging,
ICIP20(231-235)
IEEE DOI 2011
Dictionaries, Encoding, Machine learning, Hyperspectral imaging, Noise measurement, Sparse matrices, Cost function, hyperspectral imaging BibRef

Oktar, Y., Turkan, M.,
Classification Via Simplicial Learning,
ICIP20(2945-2949)
IEEE DOI 2011
Sparse representations, dictionary learning, machine learning, simplicial, classification BibRef

Genser, N., Seiler, J., Kaup, A.,
Joint Content-Adaptive Dictionary Learning And Sparse Selective Extrapolation For Cross-Spectral Image Reconstruction,
ICIP20(988-992)
IEEE DOI 2011
Image reconstruction, Computer aided software engineering, Dictionaries, Extrapolation, Machine learning, Correlation, signal extrapolation BibRef

He, K.M.[Kai-Ming], Fan, H.Q.[Hao-Qi], Wu, Y.X.[Yu-Xin], Xie, S.N.[Sai-Ning], Girshick, R.[Ross],
Momentum Contrast for Unsupervised Visual Representation Learning,
CVPR20(9726-9735)
IEEE DOI 2008
Dictionaries, Task analysis, Loss measurement, Unsupervised learning, Buildings, Visualization, Training BibRef

Watkins, Y., Kim, E., Sornborger, A., Kenyon, G.T.,
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model,
WiCV20(1482-1487)
IEEE DOI 2008
Neurons, Machine learning, Gaussian noise, Encoding, Computational modeling, Dictionaries, Neuromorphics BibRef

Wang, W.W.[Wei-Wei], Yang, C.Y.[Chun-Yu], Li, Q.[Qiao],
Discriminative Analysis Dictionary and Classifier Learning for Pattern Classification,
ICIP19(385-389)
IEEE DOI 1910
Discriminative analysis dictionary, classifier learning, sparse representation BibRef

Apicella, A., Isgrò, F., Prevete, R., Tamburrini, G.,
Contrastive Explanations to Classification Systems Using Sparse Dictionaries,
CIAP19(I:207-218).
Springer DOI 1909
BibRef

Luo, S.[Shengda], Leung, A.P.[Alex Po],
Improved Dictionary Learning with Enriched Information for Biomedical Images,
BioIm18(VI:375-384).
Springer DOI 1905
BibRef

Tang, H., Wei, H., Xiao, W., Wang, W., Xu, D., Yan, Y., Sebe, N.,
Deep Micro-Dictionary Learning and Coding Network,
WACV19(386-395)
IEEE DOI 1904
convolution, image representation, learning (artificial intelligence), Compounds BibRef

Chen, Y.F.[Ye-Fei], Su, J.B.[Jian-Bo],
Dict Layer: A Structured Dictionary Layer,
Biometrics18(535-53509)
IEEE DOI 1812
Dictionaries, Feature extraction, Training, Image reconstruction, Stacking BibRef

Sun, Y., Zhang, Z., Jiang, W., Liu, G., Wang, M., Yan, S.,
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations,
ICPR18(621-626)
IEEE DOI 1812
Dictionaries, Encoding, Machine learning, Optimization, Sparse matrices, Adaptation models, Training data, image classification BibRef

Selvaraju, R.R.[Ramprasaath R.], Chattopadhyay, P.[Prithvijit], Elhoseiny, M.[Mohamed], Sharma, T.[Tilak], Batra, D.[Dhruv], Parikh, D.[Devi], Lee, S.[Stefan],
Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance,
ECCV18(XIII: 540-556).
Springer DOI 1810
BibRef

Mou, H., Barbu, A.,
Accurate Dictionary Learning with Direct Sparsity Control,
ICIP18(1842-1846)
IEEE DOI 1809
Dictionaries, Machine learning, Annealing, Image reconstruction, Feature extraction, Encoding, Minimization, sparse coding, LARS BibRef

Silva, G., Rodriguez, P.,
Efficient Algorithm for Convolutional Dictionary Learning via Accelerated Proximal Gradient Consensus,
ICIP18(3978-3982)
IEEE DOI 1809
Dictionaries, Frequency-domain analysis, Convolution, Training, Discrete Fourier transforms, Machine learning, APG BibRef

Degraux, K., Kamilov, U.S., Boufounos, P.T., Liu, D.,
Online convolutional dictionary learning for multimodal imaging,
ICIP17(1617-1621)
IEEE DOI 1803
image reconstruction, image representation, image sensors, medical image processing, unsupervised learning, sparse regularization BibRef

Garcia-Cardona, C., Wohlberg, B.,
Subproblem coupling in convolutional dictionary learning,
ICIP17(1697-1701)
IEEE DOI 1803
Convolution, Convolutional codes, Couplings, Dictionaries, Encoding, Machine learning, Training, ADMM, Convolutional Sparse Representations BibRef

Liu, J., Garcia-Cardona, C., Wohlberg, B., Yin, W.,
Online convolutional dictionary learning,
ICIP17(1707-1711)
IEEE DOI 1803
Convolution, Convolutional codes, Dictionaries, Frequency-domain analysis, Machine learning, Training, Convolutional Sparse Representation BibRef

Serra, J.G., Villena, S., Molina, R., Katsaggelos, A.K.,
Greedy Bayesian double sparsity dictionary learning,
ICIP17(1935-1939)
IEEE DOI 1803
Bayes methods, Compressed sensing, Computational modeling, Covariance matrices, Dictionaries, Machine learning, Sparse Representation BibRef

Liu, Q., Leung, H.,
Synthesis-analysis deconvolutional network for compressed sensing,
ICIP17(1940-1944)
IEEE DOI 1803
Analytical models, Computational modeling, Convolutional codes, Dictionaries, Filter banks, Image coding, Manifolds, MRFs BibRef

Wang, H., Xia, Y., Wang, Z.,
Dictionary learning-based image compression,
ICIP17(3235-3239)
IEEE DOI 1803
Approximation algorithms, Dictionaries, Image coding, Image reconstruction, Quantization (signal), Sparse matrices, information entropy BibRef

Papyan, V., Romano, Y., Elad, M.[Michael], Sulam, J.,
Convolutional Dictionary Learning via Local Processing,
ICCV17(5306-5314)
IEEE DOI 1802
Fourier analysis, image coding, image filtering, image representation, image restoration, Training 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

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

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.C.[Qing-Chao], 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.[Sergio], Barner, K.E.[Kenneth 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

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:Mar 16, 2024 at 20:36:19