20.4.3.3.15 User Feedback, Learning in the Query, Relevance Feedback

Chapter Contents (Back)
Image Database. Query Methods. Feedback. This should concentrate more on the learning aspects of the feedback system.
See also User Feedback, Video Indexing, Video Retrieval, Relevance Feedback.

Celentano, A., di Sciascio, E.,
Feature Integration and Relevance Feedback Analysis in Image Similarity Evaluation,
JEI(7), No. 2, April 1998, pp. 308-317. 9807
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Peng, J.[Jing], Bhanu, B.[Bir], Qing, S.[Shan],
Probabilistic Feature Relevance Learning for Content-Based Image Retrieval,
CVIU(75), No. 1/2, July-August 1999, pp. 150-164.
DOI Link BibRef 9907
Earlier: A2, A1, A3:
Learning feature relevance and similarity metrics in image databases,
CBAIVL98(14-18).
IEEE Top Reference. 0208
BibRef
Earlier: A2, A3, A1:
Learning integrated online indexing for image databases,
ICIP98(II: 789-793).
IEEE DOI 9810

See also Independent feature analysis for image retrieval. BibRef

Peng, J.[Jing],
Multi-class relevance feedback content-based image retrieval,
CVIU(90), No. 1, April 2003, pp. 42-67.
Elsevier DOI 0306
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Feng, L.[Linan], Bhanu, B.[Bir], Heraty, J.[John],
A software system for automated identification and retrieval of moth images based on wing attributes,
PR(51), No. 1, 2016, pp. 225-241.
Elsevier DOI 1601
BibRef
Earlier: A1, A2, Only:
Automated identification and retrieval of moth images with semantically related visual attributes on the wings,
ICIP13(2577-2581)
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Earlier: A1, A2, Only:
Utilizing co-occurrence patterns for semantic concept detection in images,
ICPR12(2918-2921).
WWW Link. 1302
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Earlier: A1, A2, Only:
Semantic-visual concept relatedness and co-occurrences for image retrieval,
ICIP12(2429-2432).
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Entomological image identification and retrieval BibRef

Feng, L.[Linan], Bhanu, B.[Bir],
Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval,
PAMI(38), No. 4, April 2016, pp. 785-799.
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Analytical models BibRef

Heisterkamp, D.R.[Douglas R.], Peng, J.[Jing], Dai, H.K.,
Adaptive Quasiconformal Kernel Metric for Image Retrieval,
CVPR01(II:388-393).
IEEE DOI 0110
BibRef
Earlier:
Feature Relevance Learning with Query Shifting for Content-based Image Retrieval,
ICPR00(Vol IV: 250-253).
IEEE DOI 0009
BibRef

Peng, J.[Jing], Heisterkamp, D.R.,
Kernel indextng for relevance feedback image retrieval,
ICIP03(I: 733-736).
IEEE DOI 0312
BibRef

Heisterkamp, D.R.,
Building a latent semantic index of an image database from patterns of relevance feedback,
ICPR02(IV: 134-137).
IEEE DOI 0211
BibRef

Ko, B.C.[Byoung-Chul], Peng, J.[Jing], Byun, H.R.[Hye-Ran],
Region-based Image Retrieval Using Probabilistic Feature Relevance Learning,
PAA(4), No. 2/3 2001, pp. 174-184.
Springer DOI 0202
BibRef

Ko, B.C.[Byoung-Chul], Byun, H.R.[Hye-Ran],
Probabilistic neural networks supporting multi-class relevance feedback in region-based image retrieval,
ICPR02(IV: 138-141).
IEEE DOI 0211
BibRef
And:
Integrated region-based image retrieval using region's spatial relationships,
ICPR02(I: 196-199).
IEEE DOI 0211
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And:
Multiple Regions and Their Spatial Relationship-Based Image Retrieval,
CIVR02(81-90).
Springer DOI 0208
BibRef

Ko, B.C., Lee, H.S., Byun, H.R.,
Region-based Image Retrieval System Using Efficient Feature Description,
ICPR00(Vol IV: 283-286).
IEEE DOI 0009
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Laaksonen, J.T.[Jorma T.], Koskela, J.M.[J. Markus], Laakso, S.[Sami], Oja, E.[Erkki],
PicSOM: Content-Based Image Retrieval with Self-Organizing Maps,
PRL(21), No. 13-14, December 2000, pp. 1199-1207. 0011
BibRef
Earlier: A1, A2, A4, Only:
PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps,
SCIA99(Image Databases).
See also Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps. BibRef

Sjöberg, M.[Mats], Koskela, J.M.[J. Markus], Viitaniemi, V.[Ville], Laaksonen, J.T.[Jorma T.],
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ICPR-Contests10(190-199).
Springer DOI 1008
BibRef

Koskela, J.M.[J. Markus], Laaksonen, J.T.[Jorma T.],
Semantic Annotation of Image Groups with Self-organizing Maps,
CIVR05(518-527).
Springer DOI 0507
BibRef

Koskela, J.M.[J. Markus], Laaksonen, J.T.[Jorma T.], Oja, E.[Erkki],
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps,
CIVR04(508-516).
Springer DOI 0505
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And:
Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval,
ICPR04(II: 1005-1008).
IEEE DOI 0409
BibRef
Earlier:
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps,
ICPR02(II: 1049-1052).
IEEE DOI 0211
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Sjöberg, M.[Mats], Laaksonen, J.T.[Jorma T.], Viitaniemi, V.[Ville],
Using Image Segments in PicSOM CBIR System,
SCIA03(1106-1113).
Springer DOI 0310
BibRef

Laaksonen, J.T.[Jorma T.], Koskela, J.M.[J. Markus], Laakso, S.[Sami], Oja, E.[Erkki],
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval,
PAA(4), No. 2/3 2001, pp. 140-152.
Springer DOI 0202
BibRef

Sjoberg, M.[Mats], Koskela, J.M.[J. Markus], Ishikawa, S.[Satoru], Laaksonen, J.[Jorma],
Real-time large-scale visual concept detection with linear classifiers,
ICPR12(421-424).
WWW Link. 1302
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Koskela, J.M.[J. Markus], Sjöberg, M.[Mats], Laaksonen, J.T.[Jorma T.],
Improving Automatic Video Retrieval with Semantic Concept Detection,
SCIA09(480-489).
Springer DOI 0906
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Abou-Moustafa, K.T.[Karim T.], Shah, M.[Mohak], de la Torre, F.[Fernando], Ferrie, F.P.[Frank P.],
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DAGM11(184-195).
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Abou-Moustafa, K.T.[Karim T.], Ferrie, F.P.[Frank P.],
Modified Divergences for Gaussian Densities,
SSSPR12(426-436).
Springer DOI 1211
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Abou-Moustafa, K.T.[Karim T.], Ferrie, F.P.[Frank P.],
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ICPR08(1-4).
IEEE DOI 0812
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And:
Local Metric Learning on Manifolds with Application to Query-Based Operations,
SSPR08(862-873).
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Wang, L.[Lei], Chan, K.L.[Kap Luk], Xiong, X.J.[Xue-Jian],
A Sub-vector Weighting Scheme For Image Retrieval With Relevance Feedback,
IJIG(2), No. 2, April 2002, pp. 199-213. 0204
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Wang, L.[Lei], Gao, Y.[Yan], Chan, K.L.[Kap Luk], Xue, P.[Ping], Yau, W.Y.[Wei-Yun],
Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback,
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Zhou, X.D.[Xiang-Dong], Zhang, Q.[Qi], Liu, L.[Li], Zhang, L.[Liang], Shi, B.[Baile],
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Elsevier DOI 0307
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Zhou, X.D.[Xiang-Dong], Wang, M.[Mei], Zhang, Q.[Qi], Zhang, J.Q.[Jun-Qi], Shi, B.[Baile],
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Zhou, X.D.[Xiang-Dong], Chen, L.[Lian], Ye, J.Y.[Jian-Ye], Zhang, Q.[Qi], Shi, B.[Baile],
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Springer DOI 0507
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Kwak, J.W.[Jung Won], Cho, N.I.[Nam Ik],
Relevance feedback in content-based image retrieval system by selective region growing in the feature space,
SP:IC(18), No. 9, October 2003, pp. 787-799.
Elsevier DOI 0310
BibRef

Kherfi, M.L., Ziou, D., Bernardi, A.,
Combining positive and negative examples in relevance feedback for content-based image retrieval,
JVCIR(14), No. 4, December 2003, pp. 428-457.
Elsevier DOI 0401
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Earlier:
Learning from negative example in relevance feedback for content-based image retrieval,
ICPR02(II: 933-936).
IEEE DOI 0211
BibRef

Kherfi, M.L., Brahmi, D., Ziou, D.,
Combining visual features with semantics for a more effective image retrieval,
ICPR04(II: 961-964).
IEEE DOI 0409
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Improving CBIR systems by integrating semantic features,
CRV04(233-240).
IEEE DOI 0408
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Kherfi, M.L., Ziou, D., Bernardi, A.,
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems,
Surveys(36), No. 1, March 2004, pp. 35-67.
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Kherfi, M.L., Ziou, D.,
Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval,
MultMed(9), No. 4, 2007, pp. 893-900.
IEEE DOI 0905
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Kherfi, M.L., Ziou, D.,
Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples,
IP(15), No. 4, April 2006, pp. 1017-1030.
IEEE DOI 0604
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Earlier:
Image retrieval based on feature weighting and relevance feedback,
ICIP04(I: 689-692).
IEEE DOI 0505
BibRef

Müller, H.[Henning], Pun, T.[Thierry], Squire, D.M.[David M.],
Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis,
IJCV(56), No. 1-2, January-February 2004, pp. 65-77.
DOI Link 0401
BibRef

Giacinto, G.[Giorgio], Roli, F.[Fabio],
Bayesian relevance feedback for content-based image retrieval,
PR(37), No. 7, July 2004, pp. 1499-1508.
Elsevier DOI 0405
BibRef
And:
Nearest-prototype relevance feedback for content based image retrieval,
ICPR04(II: 989-992).
IEEE DOI 0409
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Giacinto, G.[Giorgio],
A nearest-neighbor approach to relevance feedback in content based image retrieval,
CIVR07(456-463).
DOI Link 0707
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Giacinto, G., Roli, F., Fumera, G.,
Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval,
CIAP01(422-427).
IEEE DOI 0210
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Ghebreab, S., Jaffe, C.C., Smeulders, A.W.M.,
Population-Based Incremental Interactive Concept Learning for Image Retrieval by Stochastic String Segmentations,
MedImg(23), No. 6, June 2004, pp. 676-689.
IEEE Abstract. 0406
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Dong, A.[Anlei], Bhanu, B.,
Active Concept Learning in Image Databases,
SMC-B(35), No. 3, June 2005, pp. 450-466.
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Earlier:
On Labeling Noise and Outliers for Robust Concept Learning for Image Databases,
LCV04(94).
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Earlier:
Active concept learning for image retrieval in dynamic databases,
ICCV03(90-95).
IEEE DOI 0311
BibRef

Dong, A.[Anlei], Bhanu, B.,
Discriminant features for model-based image databases,
ICPR04(II: 997-1000).
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Earlier:
A new semi-supervised EM algorithm for image retrieval,
CVPR03(II: 662-667).
IEEE DOI 0307
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Bhanu, B.[Bir], Dong, A.[Anlei],
Exploitation of Meta Knowledge for Learning Visual Concepts,
CBAIVL01(81).
IEEE DOI 0110
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Dong, A.[Anlei], Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang],
Evolutionary Feature Synthesis for Image Databases,
WACV05(I: 330-335).
IEEE DOI 0502
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Yin, P.Y.[Peng-Yeng], Bhanu, B., Chang, K.C.[Kuang-Cheng], Dong, A.[Anlei],
Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning,
PAMI(27), No. 10, October 2005, pp. 1536-1551.
IEEE DOI 0509
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Earlier:
Reinforcement learning for combining relevance feedback techniques,
ICCV03(510-515).
IEEE DOI 0311
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Earlier:
Improving retrieval performance by long-term relevance information,
ICPR02(III: 533-536).
IEEE DOI 0211
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Yin, P.Y.[Peng-Yeng], Li, S.H.[Shin-Huei],
Content-based image retrieval using association rule mining with soft relevance feedback,
JVCIR(17), No. 5, October 2006, pp. 1108-1125.
Elsevier DOI 0711
Association rules; Confidence quantization; Content-based image retrieval; Redundancy detection; Soft relevance feedback BibRef

Chen, Y.X.[Yi-Xin], Wang, J.Z., Krovetz, R.,
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Jiang, W.[Wei], Er, G.H.[Gui-Hua], Dai, Q.H.[Qiong-Hai], Gu, J.W.[Jin-Wei],
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PR(38), No. 11, November 2005, pp. 2007-2021.
Elsevier DOI 0509
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ICIP04(IV: 2215-2218).
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Lu, K.[Ke], He, X.F.[Xiao-Fei],
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Elsevier DOI 0509
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He, X.F.[Xiao-Fei], Cai, D.[Deng],
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ICCV09(911-916).
IEEE DOI 0909
More than just initial training. Retrieval feedback. BibRef

Souvannavong, F., Merialdo, B., Huet, B.,
Partition Sampling: An Active Learning Selection Strategy for Large Database Annotation,
VISP(152), No. 3, June 2005, pp. 347-355.
DOI Link 0510
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Hsu, C.T.[Chiou-Ting], Li, C.Y.[Chuech-Yu],
Relevance feedback using generalized Bayesian framework with region-based optimization learning,
IP(14), No. 10, October 2005, pp. 1617-1631.
IEEE DOI 0510
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Earlier: A2, A1:
Region correspondence for image retrieval using graph-theoretic approach and maximum likelihood estimation,
ICIP04(I: 421-424).
IEEE DOI 0505
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Li, C.Y.[Chueh-Yu], Hsu, C.T.[Chiou-Ting],
Image Retrieval With Relevance Feedback Based on Graph-Theoretic Region Correspondence Estimation,
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IEEE DOI 0905
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Earlier: Add A2: Shih, M.C.[Ming-Chou], ICPR04(III: 842-845).
IEEE DOI 0409
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Chiou, W.C.[Wan-Chien], Hsu, C.T.[Chiou-Ting],
Region-Based Color Transfer from Multi-Reference with Graph-Theoretic Region Correspondence Estimation,
ICIP09(501-504).
IEEE DOI 0911
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Zhou, Q.A.[Qi-Ang], Ma, L.M.[Li-Min], Chelberg, D.[David],
Adaptive object detection and recognition based on a feedback strategy,
IVC(24), No. 1, 1 January 2006, pp. 80-93.
Elsevier DOI 0602
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Zhang, R.F.[Ruo-Fei], Zhang, Z.F.M.[Zhong-Fei Mark],
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval,
IVC(24), No. 3, 1 March 2006, pp. 211-223.
Elsevier DOI 0604
BibRef
Earlier:
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval,
ECCV04(Vol III: 355-367).
Springer DOI 0405
BibRef
And:
A bayesian framework for automatic concept discovery in image collections,
ICPR04(II: 973-976).
IEEE DOI 0409
CBIR; Relevance feedback; Bayesian learning; Relevancy confidence; Session semantic distance
See also Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. BibRef

Lu, K.[Ke], Zhao, J.D.[Ji-Dong], Cai, D.[Deng],
An algorithm for semi-supervised learning in image retrieval,
PR(39), No. 4, April 2006, pp. 717-720.
Elsevier DOI Semi-supervised learning; Locality preserving projections; Support vector machine; Image retrieval 0604
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Lu, K.[Ke], Zhao, J.D.[Ji-Dong], Wu, Y.[Yue],
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PR(44), No. 6, June 2011, pp. 1155-1161.
Elsevier DOI 1102
Active learning; Regularization; Image retrieval BibRef

Li, J.[Jing], Allinson, N.M.[Nigel M.],
Long-Term Learning in Content-Based Image Retrieval,
IJIST(18), No. 2-3, 2007, pp. 160-169.
DOI Link 0804
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de Ves, E.[Esther], Domingo, J., Ayala, G.[Guillermo], Zuccarello, P.[Pedro],
A novel Bayesian framework for relevance feedback in image content-based retrieval systems,
PR(39), No. 9, September 2006, pp. 1622-1632.
Elsevier DOI 0606
Low level image descriptors; User preferences modeling BibRef

Leon, T., Zuccarello, P.[Pedro], Ayala, G.[Guillermo], de Ves, E.[Esther], Domingo, J.,
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PR(40), No. 10, October 2007, pp. 2621-2632.
Elsevier DOI 0707
Visual information retrieval; Low-level image descriptors; Content-based image retrieval systems; Logistic regression BibRef

de Ves, E.[Esther], Zuccarello, P.[Pedro], Leon, T.[Teresa], Ayala, G.[Guillermo],
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SSSPR14(353-363).
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VISP(153), No. 3, June 2006, pp. 263-273.
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IEEE DOI 0703
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Grira, N., Crucianu, M., Boujemaa, N.,
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VISP(153), No. 3, June 2006, pp. 299-304.
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Semi-Supervised Image Database Categorization Using Pairwise Constraints,
ICIP05(III: 1228-1231).
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Liang, D., Yang, J., Chang, Y.,
Relevance feedback based on non-negative matrix factorisation for image retrieval,
VISP(153), No. 4, August 2006, pp. 436-444.
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Ferecatu, M.[Marin], Boujemaa, N.[Nozha],
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IEEE DOI 0704
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Ferecatu, M., Crucianu, M., Boujemaa, N.,
Improving Performance of Interactive Categorization of Images Using Relevance Feedback,
ICIP05(I: 1197-1200).
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Ferecatu, M.[Marin], Geman, D.[Donald],
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PAMI(31), No. 6, June 2009, pp. 1087-1101.
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Earlier:
Interactive Search for Image Categories by Mental Matching,
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IEEE DOI 0710
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Houissa, H.[Hichem], Boujemaa, N.[Nozha],
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Houissa, H., Boujemaa, N.[Nozha],
On the Use of Metrics for Multi-Dimensional Descriptors Clustering,
ICIP06(153-156).
IEEE DOI 0610
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Chang, F.C.[Feng-Cheng], Hang, H.M.[Hsueh-Ming],
A Relevance Feedback Image Retrieval Scheme Using Multi-Instance and Pseudo Image Concepts,
IEICE(E89-D), No. 5, May 2006, pp. 1720-1731.
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Cheng, J.[Jian], Wang, K.Q.[Kong-Qiao],
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PR(40), No. 1, January 2007, pp. 330-334.
Elsevier DOI 0611
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Earlier:
Multi-View Sampling for Relevance Feedback in Image Retrieval,
ICPR06(II: 881-884).
IEEE DOI 0609
Active learning; Image retrieval; Relevance feedback; Support vector machines; Selective sampling BibRef

Pang, Y.W.[Yan-Wei], Zhang, K.[Kun], Yuan, Y.[Yuan], Wang, K.Q.[Kong-Qiao],
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computational complexity BibRef

Saha, S.K.[Sanjoy K.], Das, A.K.[Amit K.], Chanda, B.[Bhabatosh],
Image retrieval based on indexing and relevance feedback,
PRL(28), No. 3, 1 February 2007, pp. 357-366.
Elsevier DOI 0701
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And:
CBIR using perception based texture and colour measures,
ICPR04(II: 985-988).
IEEE DOI 0409
CBIR; Similarity measure; Human perception based similarity measure; Multidimensional indexing; Relevance feedback; Mann-Whitney test BibRef

Saadatmand-Tarzjan, M., Abrishami Moghaddam, H.,
A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms,
SMC-B(37), No. 1, February 2007, pp. 139-153.
IEEE DOI 0703
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Shen, X.J.[Xiang-Jun], Ju, S.G.[Shi-Guang], Cho, S.Y.[Siu-Yeung], Li, F.[Feng],
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Elsevier DOI 0803
Content-based image retrieval; Dynamical feature selection; Dynamical weight adjusting; Similar region pair matching; Object semantics; Object-relation semantics BibRef

Kennedy, L.S., Chang, S.F., Natsev, A.P.,
Query-Adaptive Fusion for Multimodal Search,
PIEEE(96), No. 4, April 2008, pp. 567-588.
IEEE DOI 0804

See also Discovering meaningful multimedia patterns with audio-visual concepts and associated text.
See also Multimodal Search for Effective Video Retrieval. BibRef

He, X.F.[Xiao-Fei], Jhala, P.[Pradhuman],
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PR(41), No. 7, July 2008, pp. 2283-2288.
Elsevier DOI 0804
Query classification; Query representation; Web search; Regression; Regularization; User logs BibRef

Liu, R.J.[Ru-Jie], Wang, Y.H.[Yue-Hong], Baba, T.[Takayuki], Masumoto, D.[Daiki], Nagata, S.[Shigemi],
SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data,
PR(41), No. 8, August 2008, pp. 2645-2655.
Elsevier DOI 0805
BibRef
Earlier: Add fourth: Uehara, Y.[Yusuke], CAIP07(954-961).
Springer DOI 0708
Image retrieval; Relevance feedback; Clustering; SVM; Unlabeled data BibRef

Li, F.[Fei], Liu, R.J.[Ru-Jie], Baba, T.[Takayuki],
Multi-SVM Multi-instance Learning for Object-Based Image Retrieval,
CAIP13(37-44).
Springer DOI 1308
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Earlier: A1, A2, Only:
Multi-graph multi-instance learning for object-based image and video retrieval,
ICMR12(35).
DOI Link 1301
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Earlier: A1, A2, Only:
Graph-based multiple-instance learning with instance weighting for image retrieval,
ICIP11(2453-2456).
IEEE DOI 1201
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Crucianu, M.[Michel], Estevez, D.[Daniel], Oria, V.[Vincent], Tarel, J.P.[Jean-Philippe],
Speeding up active relevance feedback with approximate knn retrieval for hyperplane queries,
IJIST(18), No. 2-3, 2007, pp. 150-159.
DOI Link 0804
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Chiang, C.C.[Cheng-Chin], Wu, J.Y.[Jyun-Yue], Yang, M.T.[Mau-Tsuen], Tai, W.K.[Wen-Kai],
Independent query refinement and feature re-weighting using positive and negative examples for content-based image retrieval,
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Springer DOI 0905
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Hsieh, J.W.[Jun-Wei], Chiang, C.C.[Cheng-Chin], Huang, Y.S.[Yea-Shuan],
Using relevance feedback to learn visual concepts from image instances,
CIAP99(692-697).
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Li, W.[Wei], Sun, M.S.[Mao-Song],
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields,
CIVR06(463-472).
Springer DOI 0607
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Doloc-Mihu, A.[Anca], Raghavan, V.V.[Vijay V.],
Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS),
CIVR06(443-452).
Springer DOI 0607
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Rao, Y.[Yong], Mundur, P.[Padma], Yesha, Y.[Yelena],
Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval,
CIVR06(350-359).
Springer DOI 0607
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Das, G.[Gita], Ray, S.[Sid],
Effect of Finite Sample Size in Content-Based Image Retrieval,
AVSBS06(96-96).
IEEE DOI 0611
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Das, G.[Gita], Ray, S.[Sid], Wilson, C.[Campbell],
Feature Re-weighting in Content-Based Image Retrieval,
CIVR06(193-200).
Springer DOI 0607
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Han, F.[Feng], Shan, Y.[Ying], Sawhney, H.S.[Harpreet S.], Kumar, R.[Rakesh],
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut,
CVPR08(1-8).
IEEE DOI 0806
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Earlier: A2, A1, A3, A4:
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects,
CVPR06(II: 1431-1438).
IEEE DOI 0606
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Kharbouche, S.[Saïd], Vannorenberghe, P.[Patrick], Lecomte, C.[Christèle], Miché, P.[Pierre],
An Automatic Relevance Feedback in Image Retrieval Using Belief Functions,
ISVC05(704-709).
Springer DOI 0512
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Su, W.T.[Wan-Ting], Chu, W.S.[Wen-Sheng], Lien, J.J.J.[Jenn-Jier James],
Heuristic Pre-clustering Relevance Feedback in Region-Based Image Retrieval,
ACCV06(II:294-304).
Springer DOI 0601
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Nowozin, S.[Sebastian], Bakir, G.H.[Gokhan H.], Tsuda, K.[Koji],
Discriminative Subsequence Mining for Action Classification,
ICCV07(1-8).
IEEE DOI 0710
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Nowozin, S.[Sebastian], Tsuda, K.[Koji], Uno, T.[Takeaki], Kudo, T.[Taku], Bakir, G.H.[Gokhan H.],
Weighted Substructure Mining for Image Analysis,
CVPR07(1-8).
IEEE DOI 0706
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Bakir, G.H.[Gökhan H.], Zien, A.[Alexander], Tsuda, K.[Koji],
Learning to Find Graph Pre-images,
DAGM04(253-261).
Springer DOI 0505
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Stejic, Z.[Zoran], Takama, Y.[Yasufumi], Hirota, K.[Kaoru],
Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval,
CIVR04(51-59).
Springer DOI 0505
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Yan, R.[Rong], Hauptmann, A.G.[Alexander G.],
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval,
CIVR06(113-122).
Springer DOI 0607
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Yan, R.[Rong], Hauptmann, A.G., Jin, R.[Rong],
Pseudo-Relevance Feedback for Multimedia Retrieval,
VideoMining03(Chapter 11). BibRef 0300

Makihara, Y., Shirai, Y., Shimada, N.,
Online learning of color transformation for interactive object recognition under various lighting conditions,
ICPR04(III: 161-164).
IEEE DOI 0409
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Franco, A., Lumini, A., Maio, D.,
A new approach for relevance feedback through positive and negative samples,
ICPR04(IV: 905-908).
IEEE DOI 0409
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Chang, E.Y., Li, B.T.[Bei-Tao], Wu, G.[Gang], Goh, K.[Kingshy],
Statistical learning for effective visual information retrieval,
ICIP03(III: 609-612).
IEEE DOI 0312
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El Naqa, I., Yang, Y.Y.[Yong-Yi], Galatsanos, N.P., Wernick, M.N.,
Relevance feedback based on incremental learning for mammogram retrieval,
ICIP03(I: 729-732).
IEEE DOI 0312
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Ye, H.J.[Hang-Jun], Xu, G.Y.[Guang-You],
Similarity measure learning for image retrieval using binary component discriminating function,
ICIP03(I: 717-720).
IEEE DOI 0312
BibRef

Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
A relevance feedback algorithm based on the clustering and parzen window,
ICIP03(II: 551-554).
IEEE DOI 0312
BibRef

Hertz, T., Bar-Hillel, A., Weinshall, D.,
Learning distance functions for image retrieval,
CVPR04(II: 570-577).
IEEE DOI 0408
BibRef

Najjar, M.[Micheline], Ambroise, C.[Christophe], Cocquerez, J.P.[Jean Pierre],
Feature selection for semi supervised learning applied to image retrieval,
ICIP03(II: 559-562).
IEEE DOI 0312
BibRef
And:
Image Retrieval Using Mixture Models and EM Algorithm,
SCIA03(1114-1121).
Springer DOI 0310
BibRef

Chiu, C.Y.[Chih-Yi], Lin, H.C.[Hsin-Chih], Yang, S.N.[Shi-Nine],
Learning user preference in a personalized CBIR system,
ICPR02(II: 532-535).
IEEE DOI 0211
BibRef

Wu, Y.M.[Yi-Min], Zhang, A.D.[Ai-Dong],
A feature re-weighting approach for relevance feedback in image retrieval,
ICIP02(II: 581-584).
IEEE DOI 0210
BibRef

Chang, Y.J.[Yao-Jen], Kamataki, K.[Keisuke], Chen, T.H.[Tsu-Han],
Mean shift feature space warping for relevance feedback,
ICIP09(1849-1852).
IEEE DOI 0911
BibRef

Bang, H.Y.[Hoon Yul], Chen, T.H.[Tsu-Han],
Feature space warping: an approach to relevance feedback,
ICIP02(I: 968-971).
IEEE DOI 0210
BibRef

Carkacioglu, A., Vural, F.Y.,
Learning similarity space,
ICIP02(I: 405-408).
IEEE DOI 0210
BibRef

Jones, B.C., Wilkes, D.M.,
A New Analysis Framework for Relevance Feedback-Driven Similarity Measure Refinement in Content-Based Image Retrieval,
CVPR01(I:920-925).
IEEE DOI 0110
BibRef

Yoon, J., Jayant, N.,
Relevance Feedback for Semantics Based Image Retrieval,
ICIP01(I: 42-45).
IEEE DOI 0108
BibRef

Peng, J.,
A Multi-class Relevance Feedback Approach to Image Retrieval,
ICIP01(I: 46-49).
IEEE DOI 0108
BibRef

Zhang, L., Lin, F., Zhang, B.,
Support Vector Machine Learning for Image Retrieval,
ICIP01(II: 721-724).
IEEE DOI 0108
BibRef

Müller, H.[Henning], Müller, W.[Wolfgang], Marchand-Maillet, S.[Stephane], Pun, T.[Thierry],
Strategies for Positive and Negative Relevance Feedback in Image Retrieval,
ICPR00(Vol I: 1043-1046).
IEEE DOI 0009
BibRef

Choi, Y.S.[Young-Sik], Kim, D.W.[Dae-Won], Krishnapuram, R.[Raghu],
Relevance Feedback for Content-Based Retrieval Based on Choquet Integral,
ICME00(TP11). 0007
BibRef

Oh, S.W.[Sang-Wook], Chung, M.G.[Min Gyo], Sull, S.H.[Sang-Hoon],
Relevance Feedback Reinforced with Semantics Accumulation,
CIVR04(448-454).
Springer DOI 0505
BibRef

Sull, S.H.[Sang-Hoon], Oh, J.[Jeongtaek], Oh, S.W.[Sang-Wook], Song, S.M.H.[Samuel Moon-Ho], Lee, S.U.[Sang Uk],
Relevance Graph-Based Image Retrieval,
ICME00(TA4). 0007
BibRef

Aksoy, S., Haralick, R.M., Cheikh, F.A., Gabbouj, M.,
A Weighted Distance Approach to Relevance Feedback,
ICPR00(Vol IV: 812-815).
IEEE DOI 0009
BibRef

Otsuka, K., Horikoshi, T., Suzuki, S., Kojima, H.,
Memory-based forecasting of complex natural patterns by retrieving similar image sequences,
CIAP99(874-879).
IEEE DOI 9909
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Relevance Feedback, Tsinghua Univ. and Related Papers .


Last update:Mar 16, 2024 at 20:36:19