Nasios, N.[Nikolaos],
Bors, A.G.[Adrian G.],
Kernel-based classification using quantum mechanics,
PR(40), No. 3, March 2007, pp. 875-889.
Elsevier DOI
0611
Kernel density estimation; Nonparametric modelling; Quantum mechanics;
Vector field segmentation
BibRef
Subrahmanya, N.[Niranjan],
Shin, Y.C.[Yung C.],
Sparse Multiple Kernel Learning for Signal Processing Applications,
PAMI(32), No. 5, May 2010, pp. 788-798.
IEEE DOI
1003
For nonlinear models.
BibRef
Pan, B.B.[Bin-Bin],
Lai, J.H.[Jian-Huang],
Chen, W.S.[Wen-Sheng],
Nonlinear nonnegative matrix factorization based on Mercer kernel
construction,
PR(44), No. 10-11, October-November 2011, pp. 2800-2810.
Elsevier DOI
1101
Nonnegative matrix factorization; Mercer kernel; Kernel mapping; Face
recognition
BibRef
Chen, W.S.[Wen-Sheng],
Li, Y.G.[Yu-Gao],
Pan, B.B.[Bin-Bin],
Chen, B.[Bo],
Incremental learning based on block sparse kernel nonnegative matrix
factorization,
ICWAPR16(219-224)
IEEE DOI
1611
Databases
BibRef
Mantrach, A.[Amin],
van Zeebroeck, N.[Nicolas],
Francq, P.[Pascal],
Shimbo, M.[Masashi],
Bersini, H.[Hugues],
Saerens, M.[Marco],
Semi-supervised classification and betweenness computation on large,
sparse, directed graphs,
PR(44), No. 6, June 2011, pp. 1212-1224.
Elsevier DOI
1102
Graph mining; Semi-supervised classification; Within-network
classification; Betweenness centrality; Graph-based classification;
Kernel methods; Kernel on a graph; Large-scale graphs
BibRef
Ohkawa, Y.[Yasuhiro],
Fukui, K.[Kazuhiro],
Hand-Shape Recognition Using the Distributions of Multi-Viewpoint Image
Sets,
IEICE(E95-D), No. 6, June 2012, pp. 1619-1627.
WWW Link.
1206
BibRef
Ohkawa, Y.[Yasuhiro],
Suryanto, C.H.[Chendra Hadi],
Fukui, K.[Kazuhiro],
Image Set-Based Hand Shape Recognition Using Camera Selection Driven by
Multi-class AdaBoosting,
ISVC11(II: 555-566).
Springer DOI
1109
BibRef
Earlier: A1, A3, Only:
Hand Shape Recognition Based on Kernel Orthogonal Mutual Subspace
Method,
MVA09(122-).
PDF File.
0905
BibRef
Fukui, K.[Kazuhiro],
Stenger, B.[Björn],
Yamaguchi, O.[Osamu],
A Framework for 3D Object Recognition Using the Kernel Constrained
Mutual Subspace Method,
ACCV06(II:315-324).
Springer DOI
0601
map input into feature space. Project onto kernel subspace.
BibRef
Fukui, K.[Kazuhiro],
Yamaguchi, O.[Osamu],
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D
Object Recognition,
ACCV07(II: 467-476).
Springer DOI
0711
BibRef
Earlier: A2, A1:
Pattern hashing: Object recognition based on a distributed local
appearance model,
ICIP02(III: 329-332).
IEEE DOI
0210
BibRef
Igarashi, Y.[Yosuke],
Fukui, K.[Kazuhiro],
3D Object Recognition Based on Canonical Angles between Shape Subspaces,
ACCV10(IV: 580-591).
Springer DOI
1011
BibRef
Akihiro, N.[Naoki],
Fukui, K.[Kazuhiro],
Compound Mutual Subspace Method for 3D Object Recognition:
A Theoretical Extension of Mutual Subspace Method,
Subspace10(374-383).
Springer DOI
1109
BibRef
Liao, C.T.[Chia-Te],
Lai, S.H.[Shang-Hong],
Robust kernel-based learning for image-related problems,
IET-IPR(6), No. 6, 2012, pp. 795-803.
DOI Link
1210
BibRef
Earlier:
A novel robust kernel for appearance-based learning,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Kuang, J.J.[Jin-Jun],
Chai, Y.[Yi],
Robust Scene Categorization via Scale-Rotation Invariant Generative
Model and Kernel Sparse Representation Classification,
IEICE(E96-D), No. 3, March 2013, pp. 758-761.
WWW Link.
1303
BibRef
Sun, T.[Tao],
Jiao, L.C.[Li-Cheng],
Liu, F.[Fang],
Wang, S.[Shuang],
Feng, J.[Jie],
Selective multiple kernel learning for classification with ensemble
strategy,
PR(46), No. 11, November 2013, pp. 3081-3090.
Elsevier DOI
1306
Ensemble learning; Kernel evaluation; Multiple kernel
learning; Selective multiple kernel learning; Fast selective multiple
kernel learning
BibRef
Guo, L.H.[Li-Hua],
Locality-Constrained Multi-Task Joint Sparse Representation for Image
Classification,
IEICE(E96-D), No. 9, September 2013, pp. 2177-2181.
WWW Link.
1309
BibRef
Guo, L.H.[Li-Hua],
From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse
Representation Method,
IEICE(E101-D), No. 8, August 2018, pp. 2115-2122.
WWW Link.
1808
BibRef
Guo, L.H.[Li-Hua],
Manifold Kernel Metric Learning for Larger-Scale Image Annotation,
IEICE(E98-D), No. 7, July 2015, pp. 1396-1400.
WWW Link.
1508
BibRef
Lampert, C.H.[Christoph H.],
Kernel Methods in Computer Vision,
FTCGV(4), Issue 3, 2008, pp. 193-285.
DOI Link
1410
Published September 2009.
BibRef
Liu, W.Y.[Wei-Yang],
Yu, Z.D.[Zhi-Ding],
Lu, L.J.[Li-Jia],
Wen, Y.D.[Yan-Dong],
Li, H.[Hui],
Zou, Y.X.[Yue-Xian],
KCRC-LCD: Discriminative kernel collaborative representation with
locality constrained dictionary for visual categorization,
PR(48), No. 10, 2015, pp. 3076-3092.
Elsevier DOI
1507
Kernel collaborative representation
BibRef
Liu, W.Y.[Wei-Yang],
Yu, Z.D.[Zhi-Ding],
Wen, Y.D.[Yan-Dong],
Lin, R.M.[Rong-Mei],
Yang, M.[Meng],
Jointly Learning Non-negative Projection and Dictionary with
Discriminative Graph Constraints for Classification,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Liu, W.Y.[Wei-Yang],
Yu, Z.D.[Zhi-Ding],
Wen, Y.D.[Yan-Dong],
Yang, M.[Meng],
Zou, Y.X.[Yue-Xian],
Multi-kernel collaborative representation for image classification,
ICIP15(21-25)
IEEE DOI
1512
Collaborative Representation; Image Classification; Multi-Kernel
BibRef
Liu, W.Y.[Wei-Yang],
Lu, L.[Lijia],
Li, H.[Hui],
Wang, W.[Wei],
Zou, Y.X.[Yue-Xian],
A novel kernel collaborative representation approach for image
classification,
ICIP14(4241-4245)
IEEE DOI
1502
Accuracy
BibRef
Li, X.[Xiao],
Fang, M.[Min],
Wang, H.C.[Hong-Chun],
Zhang, J.J.[Ju-Jie],
Supervised transfer kernel sparse coding for image classification,
PRL(68, Part 1), No. 1, 2015, pp. 27-33.
Elsevier DOI
1512
Transfer learning
BibRef
Li, X.[Xiao],
Fang, M.[Min],
Zhang, J.J.[Ju-Jie],
Wu, J.Q.[Jin-Qiao],
Sample selection for visual domain adaptation via sparse coding,
SP:IC(44), No. 1, 2016, pp. 92-100.
Elsevier DOI
1605
Image classification
BibRef
Cinbis, R.G.[Ramazan Gokberk],
Verbeek, J.[Jakob],
Schmid, C.[Cordelia],
Approximate Fisher Kernels of Non-iid Image Models for Image
Categorization,
PAMI(38), No. 6, June 2016, pp. 1084-1098.
IEEE DOI
1605
BibRef
Earlier:
Image categorization using Fisher kernels of non-iid image models,
CVPR12(2184-2191).
IEEE DOI
1208
Analytical models
BibRef
Marukatat, S.[Sanparith],
Kernel matrix decomposition via empirical kernel map,
PRL(77), No. 1, 2016, pp. 50-57.
Elsevier DOI
1606
Kernel PCA
BibRef
Ji, R.R.[Rong-Rong],
Cao, L.J.[Liu-Juan],
Wang, Y.[Yan],
Joint Depth and Semantic Inference from a Single Image via Elastic
Conditional Random Field,
PR(59), No. 1, 2016, pp. 268-281.
Elsevier DOI
1609
Depth estimation
BibRef
Wang, Y.[Yan],
Ji, R.R.[Rong-Rong],
Chang, S.F.[Shih-Fu],
Label Propagation from ImageNet to 3D Point Clouds,
CVPR13(3135-3142)
IEEE DOI
1309
BibRef
Liu, W.[Wei],
Wang, J.[Jun],
Ji, R.R.[Rong-Rong],
Jiang, Y.G.[Yu-Gang],
Chang, S.F.[Shih-Fu],
Supervised hashing with kernels,
CVPR12(2074-2081).
IEEE DOI
1208
BibRef
Zhang, G.,
Sun, H.,
Xia, G.,
Sun, Q.,
Multiple Kernel Sparse Representation-Based Orthogonal Discriminative
Projection and Its Cost-Sensitive Extension,
IP(25), No. 9, September 2016, pp. 4271-4285.
IEEE DOI
1609
image classification
BibRef
Wang, B.[Bo],
Guo, J.C.[Ji-Chang],
Zhang, Y.[Yan],
Li, C.Y.[Chong-Yi],
Hierarchical feature concatenation-based kernel sparse representations
for image categorization,
VC(33), No. 5, May 2017, pp. 647-663.
Springer DOI
1704
BibRef
Ahn, S.G.[Seon-Gin],
Ryu, D.W.[Dong-Woo],
Lee, S.H.[Sang-Ho],
A Machine Learning-Based Approach for Spatial Estimation Using the
Spatial Features of Coordinate Information,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Shen, B.[Bin],
Xu, Z.L.[Zeng-Lin],
Allebach, J.P.[Jan P.],
Kernel tapering:
A simple and effective approach to sparse kernels for image processing,
ICIP14(4917-4921)
IEEE DOI
1502
Accuracy
BibRef
Hartley, R.I.[Richard I.],
Keynote lecture 2: 'Riemannian manifolds, kernels and learning',
AVSS14(XV-XV)
IEEE DOI
1411
Computational modeling
BibRef
Aljundi, R.[Rahaf],
Emonet, R.[Remi],
Muselet, D.[Damien],
Sebban, M.[Marc],
Landmarks-based kernelized subspace alignment for unsupervised domain
adaptation,
CVPR15(56-63)
IEEE DOI
1510
BibRef
Fernando, B.[Basura],
Habrard, A.[Amaury],
Sebban, M.[Marc],
Tuytelaars, T.[Tinne],
Unsupervised Visual Domain Adaptation Using Subspace Alignment,
ICCV13(2960-2967)
IEEE DOI
1403
domain adaptation; object recognition; subspace alignment
Map one subspace to the other.
BibRef
Li, P.H.[Pei-Hua],
Wang, Q.L.[Qi-Long],
Zuo, W.M.[Wang-Meng],
Zhang, L.[Lei],
Log-Euclidean Kernels for Sparse Representation and Dictionary
Learning,
ICCV13(1601-1608)
IEEE DOI
1403
Dictionary Learning
BibRef
Xie, B.[Bojun],
Liu, Y.[Yi],
Zhang, H.[Hui],
Yu, J.[Jian],
Efficient kernel descriptor for image categorization via pivots
selection,
ICIP13(3479-3483)
IEEE DOI
1402
Efficient kernel descriptor
BibRef
Pan, B.B.[Bin-Bin],
Chen, W.S.[Wen-Sheng],
Learning Geometry-Aware Kernels in a Regularization Framework,
CAIP13(352-359).
Springer DOI
1308
BibRef
Wang, B.T.[Bo-Tao],
Xiong, H.K.[Hong-Kai],
Jiang, X.Q.[Xiao-Qian],
Ling, F.[Fan],
Semi-supervised object recognition using structure kernel,
ICIP12(2157-2160).
IEEE DOI
1302
BibRef
Antanas, L.[Laura],
Hoffmann, M.,
Frasconi, P.[Paolo],
Tuytelaars, T.[Tinne],
de Raedt, L.[Luc],
A relational kernel-based approach to scene classification,
WACV13(133-139).
IEEE DOI
1303
BibRef
Antanas, L.[Laura],
Frasconi, P.[Paolo],
Costa, F.[Fabrizio],
Tuytelaars, T.[Tinne],
de Raedt, L.[Luc],
A Relational Kernel-Based Framework for Hierarchical Image
Understanding,
SSSPR12(171-180).
Springer DOI
1211
BibRef
Poczos, B.[Barnabas],
Xiong, L.[Liang],
Sutherland, D.J.[Dougal J.],
Schneider, J.[Jeff],
Nonparametric kernel estimators for image classification,
CVPR12(2989-2996).
IEEE DOI
1208
BibRef
Gavves, E.[Efstratios],
Snoek, C.G.M.[Cees G.M.],
Smeulders, A.W.M.[Arnold W.M.],
Convex reduction of high-dimensional kernels for visual classification,
CVPR12(3610-3617).
IEEE DOI
1208
BibRef
Zhang, N.[Ning],
Farrell, R.[Ryan],
Darrell, T.J.[Trever J.],
Pose pooling kernels for sub-category recognition,
CVPR12(3665-3672).
IEEE DOI
1208
BibRef
Li, H.X.[Han-Xi],
Gao, Y.S.[Yong-Sheng],
Sun, J.[Jun],
Fast Kernel Sparse Representation,
DICTA11(72-77).
IEEE DOI
1205
BibRef
Sakano, H.[Hitoshi],
Yamaguchi, O.[Osamu],
Kawahara, T.[Tomokazu],
Hotta, S.[Seiji],
On the Behavior of Kernel Mutual Subspace Method,
Subspace10(364-373).
Springer DOI
1109
BibRef
Le, T.T.[Tam T.],
Kang, Y.[Yousun],
Sugimoto, A.[Akihiro],
Tran, S.T.[Son T.],
Nguyen, T.D.[Thuc D.],
Hierarchical Spatial Matching Kernel for Image Categorization,
ICIAR11(I: 141-151).
Springer DOI
1106
BibRef
Bo, L.F.[Lie-Feng],
Lai, K.[Kevin],
Ren, X.F.[Xiao-Feng],
Fox, D.[Dieter],
Object recognition with hierarchical kernel descriptors,
CVPR11(1729-1736).
IEEE DOI
1106
Kernel descriptors turn pixels into patch features, then with SVM.
BibRef
Huang, D.[Dong],
Tian, Y.D.[Yuan-Dong],
de la Torre, F.[Fernando],
Local isomorphism to solve the pre-image problem in kernel methods,
CVPR11(2761-2768).
IEEE DOI
1106
BibRef
Mukherjee, L.[Lopamudra],
Peng, J.M.[Ji-Ming],
Sigmund, T.[Trevor],
Singh, V.[Vikas],
Network Flow Formulations for Learning Binary Hashing,
ECCV16(V: 366-381).
Springer DOI
1611
BibRef
Mukherjee, L.[Lopamudra],
Singh, V.[Vikas],
Peng, J.M.[Ji-Ming],
Hinrichs, C.[Chris],
Learning kernels for variants of normalized cuts:
Convex relaxations and applications,
CVPR10(3145-3152).
IEEE DOI
1006
BibRef
Zeng, Z.[Zhi],
Li, H.P.[He-Ping],
Liang, W.[Wei],
Zhang, S.W.[Shu-Wu],
Similarity-based image classification via kernelized sparse
representation,
ICIP10(277-280).
IEEE DOI
1009
BibRef
Li, F.X.[Fu-Xin],
Ionescu, C.[Catalin],
Sminchisescu, C.[Cristian],
Random Fourier Approximations for Skewed Multiplicative Histogram
Kernels,
DAGM10(262-271).
Springer DOI
1009
Award, GCPR, HM.
BibRef
Yakhnenko, O.[Oksana],
Honavar, V.[Vasant],
Multiple label prediction for image annotation with multiple Kernel
correlation models,
VCL-ViSU09(8-15).
IEEE DOI
0906
To correlate text keywords with image. Uses captions.
See also Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope.
BibRef
Haasdonk, B.,
Vossen, A.,
Burkhardt, H.,
Invariance in Kernel Methods by Haar-Integration Kernels,
SCIA05(841-851).
Springer DOI
0506
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Active Appearance Models: AAM .