14.1.4.3 Transfer Learning from Other Classes, Domain Adaptation

Chapter Contents (Back)
Transfer Learning. Domain Adaptation.

Huang, P.P.[Pi-Pei], Wang, G.[Gang], Qin, S.Y.[Shi-Yin],
A novel learning approach to multiple tasks based on boosting methodology,
PRL(31), No. 12, 1 September 2010, pp. 1693-1700.
Elsevier DOI 1008
Boosting; Multi-task learning; Inductive transfer learning; Multiple tasks; Text classification BibRef

Huang, P.P.[Pi-Pei], Wang, G.[Gang], Qin, S.Y.[Shi-Yin],
Boosting for transfer learning from multiple data sources,
PRL(33), No. 5, 1 April 2012, pp. 568-579.
Elsevier DOI 1202
Opinion mining; Sentimental classification; Boosting; Transfer learning; Transfer learning with multiple sources; Multiple source domains BibRef

Yang, C.Y.[Chun-Yu], Zhou, J.[Jie],
Non-stationary data sequence classification using online class priors estimation,
PR(41), No. 8, August 2008, pp. 2656-2664.
WWW Link. 0805
Concept drift; Online classification; EM BibRef

Zhang, Z.H.[Zhi-Hao], Zhou, J.[Jie],
Transfer estimation of evolving class priors in data stream classification,
PR(43), No. 9, September 2010, pp. 3151-3161.
Elsevier DOI 1006
Concept drift; Transfer learning; Prior estimation BibRef

Gao, X.B.[Xin-Bo], Wang, X.M.[Xiu-Mei], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng],
Transfer latent variable model based on divergence analysis,
PR(44), No. 10-11, October-November 2011, pp. 2358-2366.
Elsevier DOI 1101
Dimensionality reduction; Latent variable model; Transfer learning; Bregman divergence BibRef

Pang, J., Huang, Q., Yan, S., Jiang, S., Qin, L.,
Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness,
IP(20), No. 5, May 2011, pp. 1388-1400.
IEEE DOI 1104
Training set isn't exactly the same as test data. BibRef

di Carlo, S., Falasconi, M., Sanchez, E., Scionti, A., Squillero, G., Tonda, A.,
Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation,
PRL(32), No. 13, 1 October 2011, pp. 1594-1603.
Elsevier DOI 1109
Sensor drift; Evolutionary strategy; Classification systems BibRef

Hasanat, M.H.A.[Mozaherul Hoque Abul], Ramachandram, D.[Dhanesh], Mandava, R.[Rajeswari],
Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study,
AIR(34), No. 4, December 2010, pp. 291-308.
WWW Link. 1208
BibRef

Abbasnejad, M.E.[M. Ehsan], Ramachandram, D.[Dhanesh], Mandava, R.[Rajeswari],
Optimizing Kernel Functions Using Transfer Learning from Unlabeled Data,
ICMV09(111-117).
IEEE DOI 0912
BibRef

Luo, Y.[Yong], Liu, T.L.[Tong-Liang], Tao, D.C.[Da-Cheng], Xu, C.[Chao],
Multiview Matrix Completion for Multilabel Image Classification,
IP(24), No. 8, August 2015, pp. 2355-2368.
IEEE DOI 1505
Kernel BibRef

Luo, Y.[Yong], Liu, T.L.[Tong-Liang], Tao, D.C.[Da-Cheng], Xu, C.[Chao],
Decomposition-Based Transfer Distance Metric Learning for Image Classification,
IP(23), No. 9, September 2014, pp. 3789-3801.
IEEE DOI 1410
eigenvalues and eigenfunctions BibRef

Xu, C., Liu, T.L.[Tong-Liang], Tao, D.C.[Da-Cheng], Xu, C.[Chao],
Local Rademacher Complexity for Multi-Label Learning,
IP(25), No. 3, March 2016, pp. 1495-1507.
IEEE DOI 1602
Complexity theory BibRef

Yu, J.[Jun], Rui, Y.[Yong], Tang, Y.Y.[Yuan Yan], Tao, D.C.[Da-Cheng],
High-Order Distance-Based Multiview Stochastic Learning in Image Classification,
Cyber(44), No. 12, December 2014, pp. 2431-2442.
IEEE DOI 1402
content-based retrieval BibRef

Chen, J.H.[Jian-Hui], Tang, L.[Lei], Liu, J.[Jun], Ye, J.P.[Jie-Ping],
A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks,
PAMI(35), No. 5, May 2013, pp. 1025-1038.
IEEE DOI 1304
BibRef

Dinh, C.V.[Cuong V.], Duin, R.P.W.[Robert P.W.], Piqueras-Salazar, I.[Ignacio], Loog, M.[Marco],
FIDOS: A generalized Fisher based feature extraction method for domain shift,
PR(46), No. 9, September 2013, pp. 2510-2518.
Elsevier DOI 1305
Fisher feature extraction; Invariant features; Domain shift; Domain adaptation; Multiple source domain adaptation BibRef

Gonçalves, Jr., P.M.[Paulo Mauricio], Maior de Barros, R.S.[Roberto Souto],
RCD: A recurring concept drift framework,
PRL(34), No. 9, July 2013, pp. 1018-1025.
Elsevier DOI 1305
Data streams; Concept drift; Recurring contexts; On-line learning; Multivariate non-parametric statistical test BibRef

Salakhutdinov, R.[Ruslan], Tenenbaum, J.B.[Joshua B.], Torralba, A.[Antonio],
Learning with Hierarchical-Deep Models,
PAMI(35), No. 8, 2013, pp. 1958-1971.
IEEE DOI 1307
BibRef
Earlier: A1, A3, A2:
Learning to share visual appearance for multiclass object detection,
CVPR11(1481-1488).
IEEE DOI 1106
Bayesian methods; Deep networks. Rare objects "borrow" statistical info from related common objects. Learn hierarchy of objects. BibRef

Lin, D.[Di], An, X.[Xing], Zhang, J.[Jian],
Double-bootstrapping source data selection for instance-based transfer learning,
PRL(34), No. 11, 1 August 2013, pp. 1279-1285.
Elsevier DOI 1306
Transfer learning; Instance-based transfer learning; Source data selection; Bagging BibRef

Varga, R., Nedevschi, S.,
Label Transfer by Measuring Compactness,
IP(22), No. 12, 2013, pp. 4711-4723.
IEEE DOI 1312
feature extraction BibRef

Li, W.[Wen], Duan, L.X.[Li-Xin], Xu, D.[Dong], Tsang, I.W.H.[Ivor Wai-Hung],
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation,
PAMI(36), No. 6, June 2014, pp. 1134-1148.
IEEE DOI 1406
BibRef
Earlier: A1, A2, A4, A3:
Batch mode Adaptive Multiple Instance Learning for computer vision tasks,
CVPR12(2368-2375).
IEEE DOI 1208
Convergence BibRef

Xu, X.X.[Xin-Xing], Li, W.[Wen], Xu, D.[Dong], Tsang, I.W.H.[Ivor Wai-Hung],
Co-Labeling for Multi-View Weakly Labeled Learning,
PAMI(38), No. 6, June 2016, pp. 1113-1125.
IEEE DOI 1605
Kernel. See also Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. BibRef

Hoffman, J.[Judy], Rodner, E.[Erik], Donahue, J.[Jeff], Kulis, B.[Brian], Saenko, K.[Kate],
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation,
IJCV(109), No. 1-2, August 2014, pp. 28-41.
Springer DOI 1407
BibRef

Hoffman, J.[Judy], Darrell, T.J.[Trevor J.], Saenko, K.[Kate],
Continuous Manifold Based Adaptation for Evolving Visual Domains,
CVPR14(867-874)
IEEE DOI 1409
BibRef

Hoffman, J.[Judy], Kulis, B.[Brian], Darrell, T.J.[Trevor J.], Saenko, K.[Kate],
Discovering Latent Domains for Multisource Domain Adaptation,
ECCV12(II: 702-715).
Springer DOI 1210
BibRef

Kulis, B.[Brian], Saenko, K.[Kate], Darrell, T.J.[Trevor J.],
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms,
CVPR11(1785-1792).
IEEE DOI 1106
Training is not adequate. Domain adaptation. BibRef

Saenko, K.[Kate], Kulis, B.[Brian], Fritz, M.[Mario], Darrell, T.J.[Trevor J.],
Adapting Visual Category Models to New Domains,
ECCV10(IV: 213-226).
Springer DOI 1009
BibRef

Donahue, J.[Jeff], Hoffman, J.[Judy], Rodner, E.[Erik], Saenko, K.[Kate], Darrell, T.J.[Trevor J.],
Semi-supervised Domain Adaptation with Instance Constraints,
CVPR13(668-675)
IEEE DOI 1309
domain adaptation; visual recognition BibRef

Gong, B.Q.[Bo-Qing], Grauman, K.[Kristen], Sha, F.[Fei],
Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition,
IJCV(109), No. 1-2, August 2014, pp. 3-27.
Springer DOI 1407
Correct mismatch between source and target domain. BibRef

Gong, B.Q.[Bo-Qing], Shi, Y.[Yuan], Sha, F.[Fei], Grauman, K.[Kristen],
Geodesic flow kernel for unsupervised domain adaptation,
CVPR12(2066-2073).
IEEE DOI 1208
BibRef

Shao, M.[Ming], Kit, D.[Dmitry], Fu, Y.[Yun],
Generalized Transfer Subspace Learning Through Low-Rank Constraint,
IJCV(109), No. 1-2, August 2014, pp. 74-93.
Springer DOI 1407
Using existing data for transfer to new domains. BibRef

Ding, Z.M.[Zheng-Ming], Fu, Y.[Yun],
Robust Transfer Metric Learning for Image Classification,
IP(26), No. 2, February 2017, pp. 660-670.
IEEE DOI 1702
computational complexity BibRef

Ding, Z.M.[Zheng-Ming], Shao, M.[Ming], Fu, Y.[Yun],
Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary,
ECCV16(VI: 567-582).
Springer DOI 1611
BibRef

Ding, Z.M.[Zheng-Ming], Shao, M.[Ming], Fu, Y.[Yun],
Missing Modality Transfer Learning via Latent Low-Rank Constraint,
IP(24), No. 11, November 2015, pp. 4322-4334.
IEEE DOI 1509
learning (artificial intelligence) BibRef

Gopalan, R.[Raghuraman], Li, R.N.[Ruo-Nan], Chellappa, R.[Rama],
Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations,
PAMI(36), No. 11, November 2014, pp. 2288-2302.
IEEE DOI 1410
BibRef
Earlier:
Domain adaptation for object recognition: An unsupervised approach,
ICCV11(999-1006).
IEEE DOI 1201
Adaptation models. Adapting based on training on different domain. BibRef

Li, R.N.[Ruo-Nan], Patel, V.M.[Vishal M.], Gopalan, R.[Raghuraman], Chellappa, R.[Rama],
Domain Adaptation for Visual Recognition,
FTCGV(8), No. 4, 2015, pp. 285-378.
DOI Link 1503
BibRef

Patel, V.M.[Vishal M.], Gopalan, R.[Raghuraman], Li, R.N.[Ruo-Nan], Chellappa, R.,
Visual Domain Adaptation: A survey of recent advances,
SPMag(32), No. 3, May 2015, pp. 53-69.
IEEE DOI 1504
Classification algorithms BibRef

Zhang, Z.H.[Zhi-Hao], Zhou, J.[Jie],
Multi-task clustering via domain adaptation,
PR(45), No. 1, 2012, pp. 465-473.
Elsevier DOI 1410
Multi-task clustering BibRef

Moreno-Torres, J.G.[Jose G.], Raeder, T.[Troy], Alaiz-Rodríguez, R.[Rocío], Chawla, N.V.[Nitesh V.], Herrera, F.[Francisco],
A unifying view on dataset shift in classification,
PR(45), No. 1, 2012, pp. 521-530.
Elsevier DOI 1410
Dataset shift BibRef

Li, Q.[Qing], Chen, X.[Xiaowu], Song, Y.[Yafei], Zhang, Y., Jin, X.[Xin], Zhao, Q.P.[Qin-Ping],
Geodesic Propagation for Semantic Labeling,
IP(23), No. 11, November 2014, pp. 4812-4825.
IEEE DOI 1410
BibRef
Earlier: A2, A1, A3, A5, A6, Only:
Supervised Geodesic Propagation for Semantic Label Transfer,
ECCV12(III: 553-565).
Springer DOI 1210
Image color analysis BibRef

Khamis, S.[Sameh], Lampert, C.H.[Christoph H.],
CoConut: Co-Classification with Output Space Regularization,
BMVC14(xx-yy).
HTML Version. 1410
Jointly classifying multiple, otherwise independent, data samples. BibRef

Liu, Y.L.[Yi-Lun], Li, X.[Xia],
Domain adaptation for land use classification: A spatio-temporal knowledge reusing method,
PandRS(98), No. 1, 2014, pp. 133-144.
Elsevier DOI 1411
Domain adaptation BibRef

Zhang, X.,
Convex Discriminative Multitask Clustering,
PAMI(37), No. 1, January 2015, pp. 28-40.
IEEE DOI 1412
Bismuth BibRef

Fang, M.[Min], Guo, Y.[Yong], Zhang, X.S.[Xiao-Song], Li, X.[Xiao],
Multi-source transfer learning based on label shared subspace,
PRL(51), No. 1, 2015, pp. 101-106.
Elsevier DOI 1412
Transfer learning BibRef

Xiao, M., Guo, Y.,
Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching,
PAMI(37), No. 1, January 2015, pp. 54-66.
IEEE DOI 1412
Adaptation models BibRef

Morvant, E.[Emilie],
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling,
PRL(51), No. 1, 2015, pp. 37-43.
Elsevier DOI 1412
Machine learning BibRef

Banerjee, B., Bovolo, F., Bhattacharya, A., Bruzzone, L., Chaudhuri, S., Buddhiraju, K.M.,
A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair,
GeoRS(53), No. 7, July 2015, pp. 4045-4062.
IEEE DOI 1503
Clustering algorithms BibRef

Sun, C.[Chao], Bao, B.K.[Bing-Kun], Xu, C.S.[Chang-Sheng],
Knowing Verb From Object: Retagging With Transfer Learning on Verb-Object Concept Images,
MultMed(17), No. 10, October 2015, pp. 1747-1759.
IEEE DOI 1511
Bayes methods BibRef

Samanta, S., Das, S.,
Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks,
IET-IPR(9), No. 11, 2015, pp. 925-930.
DOI Link 1511
Hilbert spaces BibRef

Selvan, A.T., Samanta, S., Das, S.,
Domain adaptation using weighted sub-space sampling for object categorization,
ICAPR15(1-5)
IEEE DOI 1511
differential geometry BibRef

Fernando, B.[Basura], Tommasi, T.[Tatiana], Tuytelaars, T.[Tinne],
Joint cross-domain classification and subspace learning for unsupervised adaptation,
PRL(65), No. 1, 2015, pp. 60-66.
Elsevier DOI 1511
BibRef
Earlier: A2, A3, Only:
A Testbed for Cross-Dataset Analysis,
TASKCV14(18-31).
Springer DOI 1504
Unsupervised domain adaptation BibRef

Zhang, Y.H.[Yu-Hong], Hu, X.G.[Xue-Gang], Li, P.P.[Pei-Pei], Li, L.[Lei], Wu, X.D.[Xin-Dong],
Cross-domain sentiment classification-feature divergence, polarity divergence or both?,
PRL(65), No. 1, 2015, pp. 44-50.
Elsevier DOI 1511
Sentiment classification BibRef

Wang, Y.[Yu], Li, J.H.[Ji-Hong], Li, Y.F.[Yan-Fang],
Measure for data partitioning in mX2 cross-validation,
PRL(65), No. 1, 2015, pp. 211-217.
Elsevier DOI 1511
Data partitioning BibRef

Xu, Y., Fang, X., Wu, J., Li, X., Zhang, D.,
Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation,
IP(25), No. 2, February 2016, pp. 850-863.
IEEE DOI 1601
Adaptation models BibRef

Deng, C., Tang, X., Yan, J., Liu, W., Gao, X.,
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval,
MultMed(18), No. 2, February 2016, pp. 208-218.
IEEE DOI 1601
Correlation BibRef

Mudunuri, S.P.[Sivaram Prasad], Biswas, S.[Soma],
A coupled discriminative dictionary and transformation learning approach with applications to cross domain matching,
PRL(71), No. 1, 2016, pp. 38-44.
Elsevier DOI 1602
Face recognition BibRef

Mandal, D., Biswas, S.[Soma],
Generalized Coupled Dictionary Learning Approach With Applications to Cross-Modal Matching,
IP(25), No. 8, August 2016, pp. 3826-3837.
IEEE DOI 1608
Correlation BibRef

Das, N., Mandal, D., Biswas, S.[Soma],
Simultaneous Semi-Coupled Dictionary Learning for Matching in Canonical Space,
IP(26), No. 8, August 2017, pp. 3995-4004.
IEEE DOI 1707
BibRef
Earlier:
Simultaneous Semi-Coupled Dictionary Learning for Matching RGBD Data,
Biometrics16(243-251)
IEEE DOI 1612
computer vision, image matching, image representation, Mahalanobis metric, canonical representation, canonical space, computer vision, cross-modal recognition, simultaneous semicoupled dictionary learning, sparse coefficients, Computer vision, Couplings, Dictionaries, Linear programming, Measurement, Testing, Training, Cross-modal matching, RGBD data, audio-image data, privileged information, text-image, data BibRef

An, T.H.[Taeg-Hyun], Hong, K.S.[Ki-Sang],
Label transfer via sparse representation,
PRL(70), No. 1, 2016, pp. 1-7.
Elsevier DOI 1602
Scene parsing BibRef

Zhang, L.[Lei], Zuo, W.M.[Wang-Meng], Zhang, D.,
LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation,
IP(25), No. 3, March 2016, pp. 1177-1191.
IEEE DOI 1602
Big Data BibRef

Zhang, L., Zhang, D.,
Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation,
IP(25), No. 10, October 2016, pp. 4959-4973.
IEEE DOI 1610
image classification BibRef

Mozafari, A.S.[Azadeh Sadat], Jamzad, M.[Mansour],
A SVM-based model-transferring method for heterogeneous domain adaptation,
PR(56), No. 1, 2016, pp. 142-158.
Elsevier DOI 1604
BibRef
Earlier:
Heterogeneous domain adaptation using previously learned classifier for object detection problem,
ICIP14(4077-4081)
IEEE DOI 1502
SVM-based method. Accuracy BibRef

Mozafari, A.S.[Azadeh Sadat], Jamzad, M.[Mansour],
Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems,
CVIU(162), No. 1, 2017, pp. 116-134.
Elsevier DOI 1710
SVM-based, da, method BibRef

Redko, I.[Ievgen], Bennani, Y.[Younès],
Non-negative embedding for fully unsupervised domain adaptation,
PRL(77), No. 1, 2016, pp. 35-41.
Elsevier DOI 1606
BibRef
And:
Kernel alignment for unsupervised transfer learning,
ICPR16(525-530)
IEEE DOI 1705
Bridges, Indexes, Kernel, Optimization, Partitioning algorithms, Standards, Symmetric matrices. Transfer learning BibRef

Zhu, L.[Lei], Ma, L.[Li],
Class centroid alignment based domain adaptation for classification of remote sensing images,
PRL(83, Part 2), No. 1, 2016, pp. 124-132.
Elsevier DOI 1609
Domain adaptation BibRef

Hou, C.A.[Cheng-An], Tsai, Y.H.H.[Yao-Hung Hubert], Yeh, Y.R.[Yi-Ren], Wang, Y.C.F.[Yu-Chiang Frank],
Unsupervised Domain Adaptation With Label and Structural Consistency,
IP(25), No. 12, December 2016, pp. 5552-5562.
IEEE DOI 1612
BibRef
Earlier: A2, A3, A4, Only:
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation,
CVPR16(5081-5090)
IEEE DOI 1612
pattern classification BibRef

Chen, W.Y.[Wei-Yu], Hsu, T.M.H.[Tzu-Ming Harry], Tsai, Y.H.H.[Yao-Hung Hubert], Wang, Y.C.A.F.[Yu-Chi-Ang Frank], Chen, M.S.[Ming-Syan],
Transfer Neural Trees for Heterogeneous Domain Adaptation,
ECCV16(V: 399-414).
Springer DOI 1611
BibRef

Hsu, T.M.H.[Tzu-Ming Harry], Chen, W.Y.[Wei-Yu], Hou, C.A.[Cheng-An], Tsai, Y.H.H., Yeh, Y.R.[Yi-Ren], Wang, Y.C.F.[Yu-Chiang Frank],
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data,
ICCV15(4121-4129)
IEEE DOI 1602
Computer vision BibRef

Chen, W.Y.[Wei-Yu], Hsu, T.M.H.[Tzu-Ming Harry], Hou, C.A.[Cheng-An], Yeh, Y.R.[Yi-Ren], Wang, Y.C.F.[Yu-Chiang Frank],
Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification,
ICIP15(3997-4001)
IEEE DOI 1512
BibRef
Earlier: A3, A4, A5, Only:
An unsupervised domain adaptation approach for cross-domain visual classification,
AVSS15(1-6)
IEEE DOI 1511
Unsupervised domain adaptation motion estimation BibRef

Chou, Y.C.[Yen-Cheng], Wei, C.P.[Chia-Po], Wang, Y.C.F.[Yu-Chiang Frank],
A discriminative domain adaptation model for cross-domain image classification,
ICIP13(3083-3087)
IEEE DOI 1402
Domain adaptation; image classification; low-rank matrix decomposition BibRef

Jiang, M., Huang, W., Huang, Z., Yen, G.G.,
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction,
Cyber(47), No. 1, January 2017, pp. 38-51.
IEEE DOI 1612
Algorithm design and analysis BibRef

Zhou, S.[Shuang], Smirnov, E.[Evgueni], Schoenmakers, G.[Gijs], Driessens, K.[Kurt], Peeters, R.[Ralf],
Testing exchangeability for transfer decision,
PRL(88), No. 1, 2017, pp. 64-71.
Elsevier DOI 1703
Instance-transfer learning BibRef

Shoeleh, F.[Farzaneh], Asadpour, M.[Masoud],
Graph based skill acquisition and transfer Learning for continuous reinforcement learning domains,
PRL(87), No. 1, 2017, pp. 104-116.
Elsevier DOI 1703
Reinforcement learning BibRef

Wang, J.[Jie], Luo, C.[Chang], Huang, H.Q.[Han-Qiao], Zhao, H.Z.[Hui-Zhen], Wang, S.Q.[Shi-Qiang],
Transferring Pre-Trained Deep CNNs for Remote Scene Classification with General Features Learned from Linear PCA Network,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Li, C.G.[Chun-Guang], You, C., Vidal, R.[Rene],
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework,
IP(26), No. 6, June 2017, pp. 2988-3001.
IEEE DOI 1705
BibRef
Earlier: A1, A3, Only:
Structured Sparse Subspace Clustering: A unified optimization framework,
CVPR15(277-286)
IEEE DOI 1510
Cancer, Computer vision, Face, Motion segmentation, Optimization, Sparse matrices, Videos, Structured sparse subspace clustering, cancer clustering, constrained subspace clustering, structured subspace clustering, subspace, structured, norm BibRef

Patel, V.M.[Vishal M.], Vidal, R.[Rene],
Kernel sparse subspace clustering,
ICIP14(2849-2853)
IEEE DOI 1502
Clustering algorithms BibRef

Shrivastava, A.[Ashish], Shekhar, S.[Sumit], Patel, V.M.[Vishal M.],
Unsupervised domain adaptation using parallel transport on Grassmann manifold,
WACV14(277-284)
IEEE DOI 1406
Clustering algorithms BibRef

Samat, A.[Alim], Persello, C.[Claudio], Gamba, P.[Paolo], Liu, S.C.[Si-Cong], Abuduwaili, J.[Jilili], Li, E.[Erzhu],
Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Ghifary, M.[Muhammad], Balduzzi, D.[David], Kleijn, W.B.[W. Bastiaan], Zhang, M.J.[Meng-Jie],
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization,
PAMI(39), No. 7, July 2017, pp. 1414-1430.
IEEE DOI 1706
BibRef
Earlier: A1, A3, A2, A4:
Domain Generalization for Object Recognition with Multi-task Autoencoders,
ICCV15(2551-2559)
IEEE DOI 1602
Algorithm design and analysis, Kernel, Object recognition, Optimization, Standards, Training, Visualization, Domain adaptation, domain generalization, feature learning, kernel methods, object recognition, scatter BibRef

Ghifary, M.[Muhammad], Kleijn, W.B.[W. Bastiaan], Zhang, M.J.[Meng-Jie], Balduzzi, D.[David], Li, W.[Wen],
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation,
ECCV16(IV: 597-613).
Springer DOI 1611
Feature extraction BibRef

Qi, G.J., Liu, W., Aggarwal, C., Huang, T.,
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes,
PAMI(39), No. 7, July 2017, pp. 1360-1373.
IEEE DOI 1706
Bridges, Noise measurement, Semantics, Training, Transfer functions, Videos, Visualization, Multimodal analysis, image classification, intermodal and intramodal label transfers (I2LT), zero-shot, learning BibRef

Lu, H.[Hao], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Zhu, Y.J.[Yan-Jun],
Two-dimensional subspace alignment for convolutional activations adaptation,
PR(71), No. 1, 2017, pp. 320-336.
Elsevier DOI 1707
Visual domain adaptation BibRef

Othman, E., Bazi, Y., Melgani, F., Alhichri, H., Alajlan, N., Zuair, M.,
Domain Adaptation Network for Cross-Scene Classification,
GeoRS(55), No. 8, August 2017, pp. 4441-4456.
IEEE DOI 1708
Computer architecture, Earth, Feature extraction, Feeds, Machine learning, Neural networks, Remote sensing, Cross-scene classification, distribution mismatch, domain adaptation, multisensor data, pretrained, convolutional, neural, network, (CNN) BibRef

Li, J., Wu, Y., Lu, K.,
Structured Domain Adaptation,
CirSysVideo(27), No. 8, August 2017, pp. 1700-1713.
IEEE DOI 1708
Adaptation models, Bridge circuits, Feature extraction, Image reconstruction, Robustness, Videos, Visualization, Domain adaptation, structured reconstruction, subspace learning, transfer, learning BibRef

Li, P.[Ping], Chen, S.C.[Song-Can],
Hierarchical Gaussian Processes model for multi-task learning,
PR(74), No. 1, 2018, pp. 134-144.
Elsevier DOI 1711
GP-LVM BibRef


Chen, S., Zhou, F., Liao, Q.,
Visual domain adaptation using weighted subspace alignment,
VCIP16(1-4)
IEEE DOI 1701
Feature extraction BibRef

Yu, L.J.[Liang-Jiang], Fan, G.L.[Guo-Liang],
Rare Class Oriented Scene Labeling Using CNN Incorporated Label Transfer,
ISVC16(I: 309-320).
Springer DOI 1701
BibRef

Castrejón, L.[Lluís], Aytar, Y.[Yusuf], Vondrick, C.[Carl], Pirsiavash, H.[Hamed], Torralba, A.[Antonio],
Learning Aligned Cross-Modal Representations from Weakly Aligned Data,
CVPR16(2940-2949)
IEEE DOI 1612
BibRef

Gupta, S.[Saurabh], Hoffman, J.[Judy], Malik, J.[Jitendra],
Cross Modal Distillation for Supervision Transfer,
CVPR16(2827-2836)
IEEE DOI 1612
BibRef

Littwin, E., Wolf, L.,
Complexity of multiverse networks and their multilayer generalization,
ICPR16(372-377)
IEEE DOI 1705
Complexity theory, Feeds, Joining processes, Neural networks, Nonhomogeneous media, Training, Upper, bound BibRef

Littwin, E., Wolf, L.,
The Multiverse Loss for Robust Transfer Learning,
CVPR16(3957-3966)
IEEE DOI 1612
BibRef

Sharmanska, V., Quadrianto, N.,
Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning,
CVPR16(3967-3975)
IEEE DOI 1612
BibRef

Chu, B.[Brian], Madhavan, V.[Vashisht], Beijbom, O.[Oscar], Hoffman, J.[Judy], Darrell, T.J.[Trevor J.],
Best Practices for Fine-Tuning Visual Classifiers to New Domains,
TASKCV16(III: 435-442).
Springer DOI 1611
Fine tuned generic to specific domain. BibRef

Tommasi, T.[Tatiana], Lanzi, M.[Martina], Russo, P.[Paolo], Caputo, B.[Barbara],
Learning the Roots of Visual Domain Shift,
TASKCV16(III: 475-482).
Springer DOI 1611
Where domain adaption originates. BibRef

Yoo, D.[Donggeun], Kim, N.[Namil], Park, S.[Sunggyun], Paek, A.S.[Anthony S.], Kweon, I.S.[In So],
Pixel-Level Domain Transfer,
ECCV16(VIII: 517-532).
Springer DOI 1611
BibRef

Heravi, E.J.[Elnaz Jahani], Aghdam, H.H.[Hamed Habibi], Puig, D.[Domenec],
Training a Mentee Network by Transferring Knowledge from a Mentor Network,
TASKCV16(III: 500-507).
Springer DOI 1611
BibRef

Yan, Y.G.[Yu-Guang], Wu, Q.Y.[Qing-Yao], Tan, M.[Mingkui], Min, H.Q.[Hua-Qing],
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers,
TASKCV16(III: 467-474).
Springer DOI 1611
BibRef

Motiian, S.[Saeid], Piccirilli, M., Adjeroh, D.A., Doretto, G.[Gianfranco],
Information Bottleneck Learning Using Privileged Information for Visual Recognition,
CVPR16(1496-1505)
IEEE DOI 1612
BibRef

Motiian, S.[Saeid], Doretto, G.[Gianfranco],
Information Bottleneck Domain Adaptation with Privileged Information for Visual Recognition,
ECCV16(VII: 630-647).
Springer DOI 1611
BibRef

Venkateswara, H.[Hemanth], Chakraborty, S.[Shayok], Panchanathan, S.[Sethuraman],
Nonlinear Embedding Transform for Unsupervised Domain Adaptation,
TASKCV16(III: 451-457).
Springer DOI 1611
BibRef

Aljundi, R.[Rahaf], Tuytelaars, T.[Tinne],
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction,
TASKCV16(III: 508-515).
Springer DOI 1611
BibRef

Csurka, G.[Gabriela], Chidlowskii, B.[Boris], Clinchant, S.[Stéphane], Michel, S.[Sophia],
Unsupervised Domain Adaptation with Regularized Domain Instance Denoising,
TASKCV16(III: 458-466).
Springer DOI 1611
BibRef

Khan, M.N.A., Heisterkamp, D.R.,
Adapting instance weights for unsupervised domain adaptation using quadratic mutual information and subspace learning,
ICPR16(1560-1565)
IEEE DOI 1705
BibRef
And:
Domain adaptation by iterative improvement of soft-labeling and maximization of non-parametric mutual information,
ICIP16(4458-4462)
IEEE DOI 1610
Adaptation models, Data models, Iterative methods, Kernel, Labeling, Mutual information, Training. BibRef

Peng, X.C.[Xing-Chao], Hoffman, J., Yu, S.X., Saenko, K.[Kate],
Fine-to-coarse knowledge transfer for low-res image classification,
ICIP16(3683-3687)
IEEE DOI 1610
Automobiles BibRef

Pilanci, M., Vural, E.,
Domain adaptation via transferring spectral properties of label functions on graphs,
IVMSP16(1-5)
IEEE DOI 1608
Coherence BibRef

Liu, S.[Siqi], Kovashka, A.[Adriana],
Adapting attributes by selecting features similar across domains,
WACV16(1-8)
IEEE DOI 1606
Adaptation models. Adapt attributes to different domain. BibRef

Irie, G.[Go], Arai, H.[Hiroyuki], Taniguchi, Y.[Yukinobu],
Alternating Co-Quantization for Cross-Modal Hashing,
ICCV15(1886-1894)
IEEE DOI 1602
Binary codes BibRef

Tzeng, E., Hoffman, J., Darrell, T.J., Saenko, K.,
Simultaneous Deep Transfer Across Domains and Tasks,
ICCV15(4068-4076)
IEEE DOI 1602
Adaptation models BibRef

Gavves, E., Mensink, T., Tommasi, T., Snoek, C.G.M., Tuytelaars, T.,
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,
ICCV15(2731-2739)
IEEE DOI 1602
Computer vision BibRef

Paul, A., Rottensteiner, F., Heipke, C.,
Transfer Learning Based on Logistic Regression,
CMRT15(145-152).
DOI Link 1602
BibRef

Liu, P.C.[Peng-Cheng], Wang, C.[Chong], Yang, P.[Peipei], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Cross-Domain Object Recognition Using Object Alignment,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Xu, H.Y.[Hong-Yu], Zheng, J.J.[Jing-Jing], Chellappa, R.[Rama],
Bridging the Domain Shift by Domain Adaptive Dictionary Learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Yan, W.[Wang], Yap, J.[Jordan], Mori, G.[Greg],
Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Lin, Y.W.[Yue-Wei], Chen, J.[Jing], Cao, Y.[Yu], Zhou, Y.J.[You-Jie], Zhang, L.F.[Ling-Feng], Wang, S.[Song],
Cross-domain recognition by identifying compact joint subspaces,
ICIP15(3461-3465)
IEEE DOI 1512
BibRef

Xu, M.W.[Ming-Wei], Wu, S.S.[Song-Song], Jing, X.Y.[Xiao-Yuan], Yang, J.Y.[Jing-Yu],
Kernel subspace alignment for unsupervised domain adaptation,
ICIP15(2880-2884)
IEEE DOI 1512
domain adaptation; kernel subspace alignment; object recognition BibRef

Ranjan, V.[Viresh], Rasiwasia, N.[Nikhil], Jawahar, C.V.,
Multi-label Cross-Modal Retrieval,
ICCV15(4094-4102)
IEEE DOI 1602
Benchmark testing BibRef

Ranjan, V.[Viresh], Harit, G., Jawahar, C.V.,
Domain adaptation by aligning locality preserving subspaces,
ICAPR15(1-6)
IEEE DOI 1511
computer vision BibRef

Pentina, A.[Anastasia], Sharmanska, V.[Viktoriia], Lampert, C.H.[Christoph H.],
Curriculum learning of multiple tasks,
CVPR15(5492-5500)
IEEE DOI 1510
BibRef

Rochan, M.[Mrigank], Wang, Y.[Yang],
Weakly supervised localization of novel objects using appearance transfer,
CVPR15(4315-4324)
IEEE DOI 1510
BibRef

Dai, D.X.[Deng-Xin], Kroeger, T.[Till], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Metric imitation by manifold transfer for efficient vision applications,
CVPR15(3527-3536)
IEEE DOI 1510
BibRef

Niu, L.[Li], Li, W.[Wen], Xu, D.[Dong],
Visual recognition by learning from web data: A weakly supervised domain generalization approach,
CVPR15(2774-2783)
IEEE DOI 1510
BibRef

Isola, P.[Phillip], Lim, J.J.[Joseph J.], Adelson, E.H.[Edward H.],
Discovering states and transformations in image collections,
CVPR15(1383-1391)
IEEE DOI 1510
BibRef

Royer, A.[Amelie], Lampert, C.H.[Christoph H.],
Classifier adaptation at prediction time,
CVPR15(1401-1409)
IEEE DOI 1510
BibRef

Caseiro, R.[Rui], Henriques, J.F.[Joao F.], Martins, P.[Pedro], Batista, J.P.[Jorge P.],
Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow,
CVPR15(3846-3854)
IEEE DOI 1510
BibRef

Ciliberto, C.[Carlo], Rosasco, L.[Lorenzo], Villa, S.[Silvia],
Learning multiple visual tasks while discovering their structure,
CVPR15(131-139)
IEEE DOI 1510
BibRef

Zhu, G.T.[Guang-Tang], Yang, H.F.[Han-Fang], Lin, L.[Lan], Zhou, G.C.[Gui-Chun], Zhou, X.D.[Xiang-Dong],
An Informative Logistic Regression for Cross-Domain Image Classification,
CVS15(147-156).
Springer DOI 1507
BibRef

Manteghi, S.[Sajad], Parvin, H.[Hamid], Heidarzadegan, A.[Ali], Nemati, Y.[Yasser],
Multitask Reinforcement Learning in Nondeterministic Environments: Maze Problem Case,
MCPR15(64-73).
Springer DOI 1506
BibRef

Ranjan, V.[Viresh], Harit, G.[Gaurav], Jawahar, C.V.,
Learning Partially Shared Dictionaries for Domain Adaptation,
FSLCV14(III: 247-261).
Springer DOI 1504
BibRef

Csurka, G.[Gabriela], Chidlovskii, B.[Boris], Clinchant, S.,
Adapted Domain Specific Class Means,
TASKCV15(80-84)
IEEE DOI 1602
Adaptation models BibRef

Csurka, G.[Gabriela], Chidlovskii, B.[Boris], Perronnin, F.[Florent],
Domain Adaptation with a Domain Specific Class Means Classifier,
TASKCV14(32-46).
Springer DOI 1504
BibRef

Lu, Y.[Ying], Chen, L.M.[Li-Ming], Saidi, A.[Alexandre], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong],
Learning visual categories through a sparse representation classifier based cross-category knowledge transfer,
ICIP14(165-169)
IEEE DOI 1502
Computer vision BibRef

Kim, J.[Jongdae], Collomosse, J.P.[John P.],
Incremental transfer learning for object recognition in streaming video,
ICIP14(2729-2733)
IEEE DOI 1502
Kernel BibRef

Wang, Z.H.[Zi-Heng], Gao, T.[Tian], Ji, Q.A.[Qi-Ang],
Learning with Hidden Information Using a Max-Margin Latent Variable Model,
ICPR14(1389-1394)
IEEE DOI 1412
Data models BibRef

Zhou, Y.[Yun], Ioannou, I.[Ioanna], Wijewickrema, S.[Sudanthi], Bailey, J.[James], Piromchai, P.[Patorn], Kennedy, G.[Gregor], OLeary, S.[Stephen],
Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration,
ICPR14(1916-1921)
IEEE DOI 1412
Adaptation models BibRef

Fang, Z.[Zheng], Zhang, Z.F.[Zhong-Fei],
Cross Domain Shared Subspace Learning for Unsupervised Transfer Classification,
ICPR14(3927-3932)
IEEE DOI 1412
Accuracy BibRef

Samanta, S.[Suranjana], Selvan, T.[Tirumarai], Das, S.[Sukhendu],
Modeling Sequential Domain Shift through Estimation of Optimal Sub-spaces for Categorization,
BMVC14(xx-yy).
HTML Version. 1410
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Farajidavar, N.[Nazli], de Campos, T.[Teofilo], Kittler, J.V.[Josef V.],
Transductive Transfer Machine,
ACCV14(III: 623-639).
Springer DOI 1504
BibRef
And:
Adaptive Transductive Transfer Machine,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Zhu, F.[Fan], Shao, L.[Ling], Tang, J.[Jun],
Boosted Cross-Domain Categorization,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Amaral, T.[Telmo], Silva, L.M.[Luís M.], Alexandre, L.A.[Luís A.], Kandaswamy, C.[Chetak], de Sá, J.M.[Joaquim Marques], Santos, J.M.[Jorge M.],
Transfer Learning Using Rotated Image Data to Improve Deep Neural Network Performance,
ICIAR14(I: 290-300).
Springer DOI 1410
BibRef

Branson, S.[Steve], Hjorleifsson, K.E.[Kristjan Eldjarn], Perona, P.[Pietro],
Active Annotation Translation,
CVPR14(3702-3709)
IEEE DOI 1409
active learning. Quickly annotate when previous annotations exist. BibRef

Lapin, M.[Maksim], Schiele, B.[Bernt], Hein, M.[Matthias],
Scalable Multitask Representation Learning for Scene Classification,
CVPR14(1434-1441)
IEEE DOI 1409
BibRef

Zhang, B.[Bang], Wang, Y.[Yi], Wang, Y.[Yang], Chen, F.[Fang],
Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning,
CVPR14(1075-1081)
IEEE DOI 1409
Multi-class classification; output coding framework; transfer learning BibRef

Patricia, N.[Novi], Caputo, B.[Barbara],
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective,
CVPR14(1442-1449)
IEEE DOI 1409
BibRef

Samanta, S., Selvan, A.T., Das, S.,
Cross-domain clustering performed by transfer of knowledge across domains,
NCVPRIPG13(1-4)
IEEE DOI 1408
iterative methods BibRef

Tsuchiya, M., Yamauchi, Y., Fujiyoshi, H., Yamashita, T.,
Hybrid Transfer Learning for Efficient Learning in Object Detection,
ACPR13(69-73)
IEEE DOI 1408
feature extraction BibRef

Rana, A.[Aakanksha], Zepeda, J.[Joaquin], Perez, P.[Patrick],
Feature Learning for the Image Retrieval Task,
FSLCV14(III: 152-165).
Springer DOI 1504
BibRef

Kulkarni, P.[Praveen], Zepeda, J.[Joaquin], Jurie, F.[Frederic], Pérez, P.[Patrick], Chevallier, L.[Louis],
Learning the Structure of Deep Architectures Using L1 Regularization,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Kulkarni, P.[Praveen], Sharma, G.[Gaurav], Zepeda, J.[Joaquin], Chevallier, L.[Louis],
Transfer learning via attributes for improved on-the-fly classification,
WACV14(220-226)
IEEE DOI 1406
Animals BibRef

Long, M.S.[Ming-Sheng], Wang, J.M.[Jian-Min], Ding, G.G.[Gui-Guang], Sun, J.G.[Jia-Guang], Yu, P.S.[Philip S.],
Transfer Joint Matching for Unsupervised Domain Adaptation,
CVPR14(1410-1417)
IEEE DOI 1409
BibRef
Earlier:
Transfer Feature Learning with Joint Distribution Adaptation,
ICCV13(2200-2207)
IEEE DOI 1403
distribution matching. Transfer learning; feature learning; joint distribution adaptation BibRef

Long, M.S.[Ming-Sheng], Ding, G.G.[Gui-Guang], Wang, J.M.[Jian-Min], Sun, J.G.[Jia-Guang], Guo, Y.C.[Yu-Chen], Yu, P.S.[Philip S.],
Transfer Sparse Coding for Robust Image Representation,
CVPR13(407-414)
IEEE DOI 1309
image representation; sparse coding; transfer learning BibRef

Kobetski, M.[Miroslav], Sullivan, J.[Josephine],
Discriminative tree-based feature mapping,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Kobetski, M.[Miroslav], Sullivan, J.[Josephine],
Apprenticeship Learning: Transfer of Knowledge via Dataset Augmentation,
SCIA13(432-443).
Springer DOI 1311
BibRef

Garcia, E.O.[Esteban O.], de Cote, E.M.[Enrique Munoz], Morales, E.F.[Eduardo F.],
Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces,
CIARP13(I:198-205).
Springer DOI 1311
BibRef

Chen, S.K.[Shao-Kang], Sanderson, C.[Conrad], Harandi, M.T.[Mehrtash T.], Lovell, B.C.[Brian C.],
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces,
CVPR13(452-459)
IEEE DOI 1309
Adaptive Clustering BibRef

Kuzborskij, I.[Ilja], Orabona, F.[Francesco], Caputo, B.[Barbara],
Transfer Learning Through Greedy Subset Selection,
CIAP15(I:3-14).
Springer DOI 1511
BibRef
Earlier:
From N to N+1: Multiclass Transfer Incremental Learning,
CVPR13(3358-3365)
IEEE DOI 1309
LSSVM BibRef

Sharmanska, V.[Viktoriia], Quadrianto, N.[Novi], Lampert, C.H.[Christoph H.],
Learning to Rank Using Privileged Information,
ICCV13(825-832)
IEEE DOI 1403
Learning to rank with more data in training than in test. BibRef

Tommasi, T.[Tatiana], Quadrianto, N.[Novi], Caputo, B.[Barbara], Lampert, C.H.[Christoph H.],
Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer,
ACCV12(I:1-15).
Springer DOI 1304
BibRef

Zheng, J.J.[Jing-Jing], Liu, M.Y.[Ming-Yu], Chellappa, R.[Rama], Phillips, P.J.[P. Jonathon],
A Grassmann manifold-based domain adaptation approach,
ICPR12(2095-2099).
WWW Link. 1302
shifts in the distribution between training and testing data BibRef

Mirrashed, F.[Fatemeh], Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Sampling for unsupervised domain adaptive object detection,
ICIP13(3288-3292)
IEEE DOI 1402
Domain Adaptation;Object Detection;Semi-supervised Learning BibRef

Mirrashed, F.[Fatemeh], Rastegari, M.[Mohammad],
Domain Adaptive Classification,
ICCV13(2608-2615)
IEEE DOI 1403
BibRef

Mirrashed, F., Morariu, V.I., Siddiquie, B., Feris, R.S., Davis, L.S.,
Domain adaptive object detection,
WACV13(323-330).
IEEE DOI 1303
transfer learning techniques BibRef

Liu, J.C.[Jing-Chen], McCloskey, S.[Scott], Liu, Y.X.[Yan-Xi],
Training data recycling for multi-level learning,
ICPR12(2314-2318).
WWW Link. 1302
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Shi, Z.Y.[Zhi-Yuan], Siva, P.[Parthipan], Xiang, T.[Tony],
Transfer Learning by Ranking for Weakly Supervised Object Annotation,
BMVC12(78).
DOI Link 1301
BibRef

Costa Pereira, J.[Jose], Vasconcelos, N.M.[Nuno M.],
On the regularization of image semantics by modal expansion,
CVPR12(3093-3099).
IEEE DOI 1208
BibRef

Guillaumin, M.[Matthieu], Ferrari, V.[Vittorio],
Large-scale knowledge transfer for object localization in ImageNet,
CVPR12(3202-3209).
IEEE DOI 1208
BibRef

Jhuo, I.H.[I-Hong], Liu, D.[Dong], Lee, D.T., Chang, S.F.[Shih-Fu],
Robust visual domain adaptation with low-rank reconstruction,
CVPR12(2168-2175).
IEEE DOI 1208
BibRef

Ye, G.N.[Guang-Nan], Liu, D.[Dong], Jhuo, I.H.[I-Hong], Chang, S.F.[Shih-Fu],
Robust late fusion with rank minimization,
CVPR12(3021-3028).
IEEE DOI 1208
BibRef

Aytar, Y.[Yusuf], Zisserman, A.[Andrew],
Tabula rasa: Model transfer for object category detection,
ICCV11(2252-2259).
IEEE DOI 1201
Transfer learning for categories. BibRef

Wang, H.[Hua], Nie, F.P.[Fei-Ping], Huang, H.[Heng], Ding, C.[Chris],
Dyadic transfer learning for cross-domain image classification,
ICCV11(551-556).
IEEE DOI 1201
BibRef

Vezhnevets, A.[Alexander], Buhmann, J.M.[Joachim M.],
Agnostic Domain Adaptation,
DAGM11(376-385).
Springer DOI 1109
Transfer learning. See also Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. BibRef

Yu, X.D.[Xiao-Dong], Aloimonos, Y.[Yiannis],
Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example,
ECCV10(V: 127-140).
Springer DOI 1009
BibRef

Yao, Y.[Yi], Doretto, G.[Gianfranco],
Boosting for transfer learning with multiple sources,
CVPR10(1855-1862).
IEEE DOI 1006
Transfer info between domains. BibRef

Lampert, C.H.[Christoph H.], Krömer, O.[Oliver],
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning,
ECCV10(II: 566-579).
Springer DOI 1009
BibRef

Ahmed, A.[Amr], Yu, K.[Kai], Xu, W.[Wei], Gong, Y.H.[Yi-Hong], Xing, E.[Eric],
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks,
ECCV08(III: 69-82).
Springer DOI 0810
BibRef

Quattoni, A.[Ariadna], Collins, M.[Michael], Darrell, T.J.[Trevor J.],
Transfer learning for image classification with sparse prototype representations,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And: CSAIL-2008-012, March 2008.
WWW Link. BibRef
Earlier:
Learning Visual Representations using Images with Captions,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Zero-Shot Learning .


Last update:Nov 11, 2017 at 13:31:57