13.4.1.1.1 Sparse Descriptions, Dictionary Descriptions

Chapter Contents (Back)
Sparse Coding. Object Recognition. Dictionary Learning.

Pham, T.V.[Thang V.], and Smeulders, A.W.M.[Arnold W.M.],
Sparse Representation for Coarse and Fine Object Recognition,
PAMI(28), No. 4, April 2006, pp. 555-567.
IEEE DOI 0604
Object appearence using a dictionary of Gaussian differential basis functions. Adding new objects does not require retraining old objects. BibRef

Chiang, C.K.[Chen-Kuo], Liu, C.H.[Chao-Hsien], Duan, C.H.[Chih-Hsueh], Lai, S.H.[Shang-Hong],
Learning Component-Level Sparse Representation for Image and Video Categorization,
IP(22), No. 12, 2013, pp. 4775-4787.
IEEE DOI 1312
image classification BibRef

Irie, G.[Go], Li, Z.G.[Zhen-Guo], Wu, X.M.[Xiao-Ming], Chang, S.F.[Shih-Fu],
Locally Linear Hashing for Extracting Non-linear Manifolds,
CVPR14(2123-2130)
IEEE DOI 1409
hashing; local linearity; manifold; retrieval BibRef

Chiang, C.K.[Chen-Kuo], Duan, C.H.[Chih-Hsueh], Lai, S.H.[Shang-Hong], Chang, S.F.[Shih-Fu],
Learning component-level sparse representation using histogram information for image classification,
ICCV11(1519-1526).
IEEE DOI 1201
Image group statistics. Select the dictionary to best reconstruct the data. BibRef

Liu, B.D.[Bao-Di], Wang, Y.X.[Yu-Xiong], Zhang, Y.J.[Yu-Jin], Shen, B.[Bin],
Learning dictionary on manifolds for image classification,
PR(46), No. 7, July 2013, pp. 1879-1890.
Elsevier DOI 1303
Sparse coding; Image classification; Locally linear embedding; Coordinate descent; Manifold BibRef

Lu, C.[Cewu], Shi, J.P.[Jian-Ping], Jia, J.Y.[Jia-Ya],
Scale Adaptive Dictionary Learning,
IP(23), No. 2, February 2014, pp. 837-847.
IEEE DOI 1402
BibRef
Earlier:
Online Robust Dictionary Learning,
CVPR13(415-422)
IEEE DOI 1309
image reconstruction. Dictionary Learning; Online Learning; Robust Statistics BibRef

Nozari, H.[Hani], Karami, M.R.[Mohammad Reza],
Design redundant Chebyshev dictionary with generalized extreme value distribution for sparse approximation and image denoising,
SIViP(8), No. 2, February 2014, pp. 327-338.
Springer DOI 1402
Sparse coding. BibRef

Patel, J.N.[Jigisha N.], Jose, J.[Jerin], Patnaik, S.[Suprava],
Application of Content Specific Dictionaries in Still Image Coding,
IEICE(E98-D), No. 1, February 2015, pp. 394-403.
WWW Link. 1503
For coding, compression. BibRef

Xu, Y.[Yong], Sun, Y.P.[Yu-Ping], Quan, Y.[Yuhui], Zheng, B.[Bo],
Discriminative structured dictionary learning with hierarchical group sparsity,
CVIU(136), No. 1, 2015, pp. 59-68.
Elsevier DOI 1506
Discriminative dictionary learning BibRef

Quan, Y.H.[Yu-Hui], Xu, Y.[Yong], Sun, Y.P.[Yu-Ping], Huang, Y.[Yan],
Supervised dictionary learning with multiple classifier integration,
PR(55), No. 1, 2016, pp. 247-260.
Elsevier DOI 1604
Sparse coding BibRef

Ni, B.B.[Bing-Bing], Moulin, P.[Pierre], Yan, S.C.[Shui-Cheng],
Order Preserving Sparse Coding,
PAMI(37), No. 8, August 2015, pp. 1615-1628.
IEEE DOI 1507
BibRef
Earlier:
Order-Preserving Sparse Coding for Sequence Classification,
ECCV12(II: 173-187).
Springer DOI 1210
Dictionaries BibRef

Nazzal, M., Yeganli, F., Ozkaramanli, H.,
A Strategy for Residual Component-Based Multiple Structured Dictionary Learning,
SPLetters(22), No. 11, November 2015, pp. 2059-2063.
IEEE DOI 1509
signal representation BibRef

Chen, J., Chau, L.,
Multiscale Dictionary Learning via Cross-Scale Cooperative Learning and Atom Clustering for Visual Signal Processing,
CirSysVideo(25), No. 9, September 2015, pp. 1457-1468.
IEEE DOI 1509
Clustering algorithms. multi-scale sparse representation. BibRef

Thom, M.[Markus], Rapp, M.[Matthias], Palm, G.[GŁnther],
Efficient Dictionary Learning with Sparseness-Enforcing Projections,
IJCV(114), No. 2-3, September 2015, pp. 168-194.
Springer DOI 1509
BibRef

Fawzi, A.[Alhussein], Davies, M.[Mike], Frossard, P.[Pascal],
Dictionary Learning for Fast Classification Based on Soft-thresholding,
IJCV(114), No. 2-3, September 2015, pp. 306-321.
Springer DOI 1509
BibRef

Wohlberg, B.[Brendt],
Efficient Algorithms for Convolutional Sparse Representations,
IP(25), No. 1, January 2016, pp. 301-315.
IEEE DOI 1601
BibRef
And:
Convolutional sparse representations as an image model for impulse noise restoration,
IVMSP16(1-5)
IEEE DOI 1608
BibRef
And:
Convolutional sparse representation of color images,
Southwest16(57-60)
IEEE DOI 1605
BibRef
Earlier:
Endogenous convolutional sparse representations for transolation invariant image subspace models,
ICIP14(2859-2863)
IEEE DOI 1502
Computational efficiency. Computational modeling. Accuracy BibRef

Wohlberg, B.[Brendt],
Boundary handling for convolutional sparse representations,
ICIP16(1833-1837)
IEEE DOI 1610
Boundary conditions BibRef

Skau, E., Wohlberg, B.[Brendt],
A Fast Parallel Algorithm for Convolutional Sparse Coding,
IVMSP18(1-5)
IEEE DOI 1809
Dictionaries, Convolutional codes, Convolution, Image coding, Partitioning algorithms, Discrete Fourier transforms, ADMM BibRef

Luo, X., Wohlberg, B.[Brendt],
Convolutional Laplacian sparse coding,
Southwest16(133-136)
IEEE DOI 1605
Convolution BibRef

Xu, M.[Mai], Wang, Z.[Zulin],
A novel double-layer sparse representation approach for unsupervised dictionary learning,
CVIU(143), No. 1, 2016, pp. 1-10.
Elsevier DOI 1601
BibRef
Earlier:
Unsupervised dictionary learning with double-layer sparse representation,
WACV14(548-555)
IEEE DOI 1406
Sparse representation Dictionaries BibRef

Bao, C.L.[Cheng-Long], Ji, H.[Hui], Quan, Y.H.[Yu-Hui], Shen, Z.W.[Zuo-Wei],
Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis,
PAMI(38), No. 7, July 2016, pp. 1356-1369.
IEEE DOI 1606
BibRef
Earlier:
L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence,
CVPR14(3858-3865)
IEEE DOI 1409
BibRef
Earlier: A1, A3, A2, Only:
A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding,
ECCV14(VI: 302-316).
Springer DOI 1408
dictionary learning; global convergence; proximal method BibRef

Su, T.F.[Te-Feng], Chiang, C.K.[Chen-Kuo], Lai, S.H.[Shang-Hong],
A Multiattribute Sparse Coding Approach for Action Recognition From a Single Unknown Viewpoint,
CirSysVideo(26), No. 8, August 2016, pp. 1476-1489.
IEEE DOI 1609
gesture recognition BibRef

Chiang, C.K.[Chen-Kuo], Su, T.F.[Te-Feng], Yen, C.[Chih], Lai, S.H.[Shang-Hong],
Multi-attributed Dictionary Learning for Sparse Coding,
ICCV13(1137-1144)
IEEE DOI 1403
Dictionary learning; multiple attributes; sparse coding BibRef

Bian, X.[Xiao], Krim, H.[Hamid], Bronstein, A.M.[Alex M.], Dai, L.[Liyi],
Sparsity and Nullity: Paradigms for Analysis Dictionary Learning,
SIIMS(9), No. 3, 2016, pp. 1107-1126.
DOI Link 1610
BibRef

Prasad, S., Labate, D., Cui, M., Zhang, Y.,
Morphologically Decoupled Structured Sparsity for Rotation-Invariant Hyperspectral Image Analysis,
GeoRS(55), No. 8, August 2017, pp. 4355-4366.
IEEE DOI 1708
Dictionaries, Feature extraction, Hyperspectral imaging, Image analysis, Robustness, Training, Hyperspectral data, image analysis, multiresolution analysis, sparse representation BibRef

Qi, N.[Na], Shi, Y.H.[Yun-Hui], Sun, X.Y.[Xiao-Yan], Wang, J.D.[Jing-Dong], Yin, B.C.[Bao-Cai], Gao, J.B.[Jun-Bin],
Multi-Dimensional Sparse Models,
PAMI(40), No. 1, January 2018, pp. 163-178.
IEEE DOI 1712
Adaptation models, Analytical models, Computational modeling, Data models, Dictionaries. Apply to denoising, super-resolution, texture. BibRef

Bahri, M.[Mehdi], Panagakis, Y.[Yannis], Zafeiriou, S.P.[Stefanos P.],
Robust Kronecker Component Analysis,
PAMI(41), No. 10, October 2019, pp. 2365-2379.
IEEE DOI 1909
combines ideas from sparse dictionary learning and robust component analysis. Tensile stress, Dictionaries, Principal component analysis, Machine learning, Sparse matrices, Computational modeling, global optimality BibRef

Zha, Z.Y.[Zhi-Yuan], Yuan, X.[Xin], Wen, B.H.[Bi-Han], Zhou, J.T.[Jian-Tao], Zhang, J.C.[Jia-Chao], Zhu, C.[Ce],
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization,
IP(29), 2020, pp. 5094-5109.
IEEE DOI 2003
Minimization methods, Benchmark testing, Image coding, Dictionaries, Encoding, Wireless sensor networks, Sparse coding, GSC, nuclear norm BibRef

Sulam, J.[Jeremias], Aberdam, A.[Aviad], Beck, A.[Amir], Elad, M.[Michael],
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks,
PAMI(42), No. 8, August 2020, pp. 1968-1980.
IEEE DOI 2007
Mathematical model, Convolution, Convolutional codes, Iterative algorithms, Dictionaries, Analytical models, iterative shrinkage algorithms BibRef

Zhou, P.[Pan], Lu, C.Y.[Can-Yi], Feng, J.S.[Jia-Shi], Lin, Z.C.[Zhou-Chen], Yan, S.C.[Shui-Cheng],
Tensor Low-Rank Representation for Data Recovery and Clustering,
PAMI(43), No. 5, May 2021, pp. 1718-1732.
IEEE DOI 2104
Dictionaries, Noise measurement, Data analysis, Clustering algorithms, Task analysis, Face, tensor data clustering BibRef

Xia, W.[Wei], Song, Z.[Zheng], Feng, J.S.[Jia-Shi], Cheong, L.F.[Loong-Fah], Yan, S.C.[Shui-Cheng],
Segmentation over Detection by Coupled Global and Local Sparse Representations,
ECCV12(V: 662-675).
Springer DOI 1210
BibRef


Cheng, H., Wen, B.,
Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification,
ICIP20(2411-2415)
IEEE DOI 2011
Manifolds, Dictionaries, Robustness, Encoding, Data models, Training, Task analysis, Sparse representation, Gaussian model, Classification BibRef

Wang, Y., Zou, C., Tang, Y.Y., Li, L.,
Cauchy Matching Pursuit for Robust Sparse Representation and Classification,
ICPR18(694-698)
IEEE DOI 1812
Matching pursuit algorithms, Greedy algorithms, Noise measurement, Dictionaries, Minimization, Indexes, Training BibRef

Huang, P., Hwang, W., Jong, T.,
Learning Parseval Frames for Sparse Representation with Frame Perspective,
ICIP18(3868-3872)
IEEE DOI 1809
Dictionaries, Image reconstruction, Signal processing algorithms, Signal representation, Machine learning, Optimization, Indexes, Image representation BibRef

Lin, Y., Wohlberg, B., Vesselinov, V.,
ADMM penalty parameter selection with Krylov subspace recycling technique for sparse coding,
ICIP17(1945-1949)
IEEE DOI 1803
Computational efficiency, Convex functions, Dictionaries, Encoding, Recycling, Robustness, Transforms, Subspace Recycling BibRef

Siyahjani, F.[Farzad], Doretto, G.[Gianfranco],
Learning a Context Aware Dictionary for Sparse Representation,
ACCV12(II:228-241).
Springer DOI 1304
BibRef

Majumdar, A.[Angshul],
Discriminative label consistent dictionary learning,
ICIP15(1016-1020)
IEEE DOI 1512
Classification BibRef

Liu, Q.F.[Qing-Feng], Puthenputhussery, A.[Ajit], Liu, C.J.[Cheng-Jun],
Learning the discriminative dictionary for sparse representation by a general fisher regularized model,
ICIP15(4347-4351)
IEEE DOI 1512
BibRef

Mukherjee, L.[Lopamudra], Hall, A.[Alex],
Non-negative Sparse Coding with Regularizer for Image Classification,
WACV15(852-859)
IEEE DOI 1503
Dictionaries BibRef

Lu, K.[Keyu], Li, J.[Jian], An, X.J.[Xiang-Jing], He, H.[Hangen],
Hierarchical image representation via multi-level sparse coding,
ICIP14(4902-4906)
IEEE DOI 1502
Dictionaries BibRef

Wang, X.Y.[Xiao-Yang], Ji, Q.A.[Qi-Ang],
Attribute Augmentation with Sparse Coding,
ICPR14(4352-4357)
IEEE DOI 1412
Dictionaries BibRef

Yang, M.[Meng], Dai, D.X.[Deng-Xin], Shen, L.[Lilin], Van Gool, L.J.[Luc J.],
Latent Dictionary Learning for Sparse Representation Based Classification,
CVPR14(4138-4145)
IEEE DOI 1409
classification;latent dictionary learning;sparse represntation BibRef

Bevilacqua, M.[Marco], Roumy, A.[Aline], Guillemot, C.[Christine], Morel, M.L.A.[Marie-Line Alberi],
K-WEB: Nonnegative dictionary learning for sparse image representations,
ICIP13(146-150)
IEEE DOI 1402
Approximation methods BibRef

Han, S.[Sheng], Fu, R.Q.[Rui-Qing], Wang, S.Z.[Su-Zhen], Wu, X.Y.[Xin-Yu],
Online adaptive dictionary learning and weighted sparse coding for abnormality detection,
ICIP13(151-155)
IEEE DOI 1402
Accuracy BibRef

Shen, L.[Li], Wang, S.H.[Shu-Hui], Sun, G.[Gang], Jiang, S.Q.[Shu-Qiang], Huang, Q.M.[Qing-Ming],
Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization,
CVPR13(383-390)
IEEE DOI 1309
Categorization; Dictionary learning; Hierarchical structure BibRef

Chi, Y.T.[Yu-Tseh], Ali, M.[Mohsen], Rajwade, A.[Ajit], Ho, J.[Jeffrey],
Block and Group Regularized Sparse Modeling for Dictionary Learning,
CVPR13(377-382)
IEEE DOI 1309
block group; dictionary learning; sparse coding BibRef

Khan, N.[Nazar], Tappen, M.F.[Marshall F.],
Discriminative dictionary learning with spatial priors,
ICIP13(166-170)
IEEE DOI 1402
BibRef
Earlier:
Stable discriminative dictionary learning via discriminative deviation,
ICPR12(3224-3227).
WWW Link. 1302
Dictionaries BibRef

Duan, G.F.[Gui-Fang], Wang, H.C.[Hong-Cui], Liu, Z.Y.[Zhen-Yu], Deng, J.P.[Jun-Ping], Chen, Y.W.[Yen-Wei],
K-CPD: Learning of overcomplete dictionaries for tensor sparse coding,
ICPR12(493-496).
WWW Link. 1302
BibRef

Lin, T.[Tong], Liu, S.[Shi], Zha, H.B.[Hong-Bin],
Incoherent dictionary learning for sparse representation,
ICPR12(1237-1240).
WWW Link. 1302
BibRef

Guo, H.M.[Hui-Min], Jiang, Z.L.[Zhuo-Lin], Davis, L.S.[Larry S.],
Discriminative Dictionary Learning with Pairwise Constraints,
ACCV12(I:328-342).
Springer DOI 1304
BibRef

Jiang, Z.L.[Zhuo-Lin], Lin, Z.[Zhe], Davis, L.S.[Larry S.],
Learning a discriminative dictionary for sparse coding via label consistent K-SVD,
CVPR11(1697-1704).
IEEE DOI 1106
BibRef

Jiang, Z.L.[Zhuo-Lin], Zhang, G.X.[Guang-Xiao], Davis, L.S.[Larry S.],
Submodular dictionary learning for sparse coding,
CVPR12(3418-3425).
IEEE DOI 1208
BibRef

Yang, F.[Fan], Jiang, Z.L.[Zhuo-Lin], Davis, L.S.[Larry S.],
Online discriminative dictionary learning for visual tracking,
WACV14(854-861)
IEEE DOI 1406
Dictionaries;Equations;Joints;Target tracking;Training;Visualization BibRef

Shi, J.P.[Jian-Ping], Ren, X.[Xiang], Dai, G.[Guang], Wang, J.D.[Jing-Dong], Zhang, Z.H.[Zhi-Hua],
A non-convex relaxation approach to sparse dictionary learning,
CVPR11(1809-1816).
IEEE DOI 1106
To learn sparse representation (few words to describe it). Concave approach. BibRef

Nakashizuka, M.[Makoto], Nishiura, H.[Hidenari], Iiguni, Y.[Youji],
Sparse image representations with shift-invariant tree-structured dictionaries,
ICIP09(2145-2148).
IEEE DOI 0911
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Other, Kernel Methods, Invariants .


Last update:Jun 21, 2021 at 13:48:20