14.1.4.2 Transfer Learning from Other Classes

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

Huang, P.[Pipei], Wang, G.[Gang], Qin, S.[Shiyin],
Boosting for transfer learning from multiple data sources,
PRL(33), No. 5, 1 April 2012, pp. 568-579.
Elsevier DOI Link
WWW Version. 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 Version. 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 Link
WWW Version. 1006
Concept drift; Transfer learning; Prior estimation BibRef

Han, Y., Wu, F., Zhuang, Y.T., He, X.,
Multi-Label Transfer Learning With Sparse Representation,
CirSysVideo(20), No. 8, August 2010, pp. 1110-1121.
IEEE DOI Link 1008
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 Link
WWW Version. 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 Link 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 Link
WWW Version. 1109
Sensor drift; Evolutionary strategy; Classification systems 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 Link 1201
BibRef

Gopalan, R.[Raghuraman], Li, R.N.[Ruo-Nan], Chellappa, R.[Rama],
Domain adaptation for object recognition: An unsupervised approach,
ICCV11(999-1006).
IEEE DOI Link 1201
Adapting based on training on different domain. BibRef

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

Salakhutdinov, R.[Ruslan], Torralba, A.[Antonio], Tenenbaum, J.[Josh],
Learning to share visual appearance for multiclass object detection,
CVPR11(1481-1488).
IEEE DOI Link 1106
Rare objects "borrow" statistical info from related common objects. Learn hierarchy of objects. 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 Link 1009
BibRef

Yao, Y.[Yi], Doretto, G.[Gianfranco],
Boosting for transfer learning with multiple sources,
CVPR10(1855-1862).
IEEE DOI Link 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 Link 1009
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 Link 0912
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 Link 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 Link 0806
BibRef
And: CSAIL-2008-012, March 2008.
WWW Version. BibRef
Earlier:
Learning Visual Representations using Images with Captions,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Classifier, Performance Evaluation, Errors, Comparisons .