19.4.3.2 User Interaction, Interactive Query Analysis, Relevance Feedback, External Information

Rui, Y.[Yong], Huang, T.S.[Thomas S.], Ortega, M.[Michael], Mehrotra, S.[Sharad],
Relevance Feedback: A Power Tool for Interactive Content-Based Image Retrieval,
CirSysVideo(8), No. 5, September 1998, pp. 644-655.
IEEE Top Reference. 9810
BibRef
Earlier: A1, A2, A4, A3:
Automatic Matching Tool Selection Using Relevance Feedback in MARS,
Visual97(xx). BibRef
And:
A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems,
CBAIVL97(82).
IEEE DOI Link 9706
BibRef

Dagli, C.K.[Charlie K.], Huang, T.S.[Thomas S.],
A framework for grid-based image retrieval,
ICPR04(II: 1021-1024).
IEEE DOI Link 0409
BibRef

Dagli, C.K.[Charlie K.], Rajaram, S.[Shyamsundar], Huang, T.S.[Thomas S.],
Utilizing Information Theoretic Diversity for SVM Active Learn,
ICPR06(II: 506-511).
IEEE DOI Link 0609
BibRef
And:
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure,
CIVR06(123-132).
Springer DOI Link 0607
See also Active Learning for Interactive Multimedia Retrieval. BibRef

Nakazato, M., Dagli, C.K.[Charlie K.], Huang, T.S.[Thomas S.],
Evaluating group-based relevance feedback for content-based image retrieval,
ICIP03(II: 599-602).
IEEE Abstract. 0312
BibRef

Rui, Y.[Yong], Huang, T.S.[Thomas S.],
Learning Based Relevance Feedback in Image Retrieval,
AIPU02(163-182). 0905
BibRef
Earlier:
Optimizing Learning in Image Retrieval,
CVPR00(I: 236-243).
IEEE Abstract.
IEEE DOI Link 0005
Learning. BibRef

Grigorova, A., de Natale, F.G.B., Dagli, C.K., Huang, T.S.,
Content-Based Image Retrieval by Feature Adaptation and Relevance Feedback,
MultMed(9), No. 6, October 2007, pp. 1183-1192.
IEEE DOI Link 0905
BibRef

Rui, Y., Huang, T.S., and Mehrotra, S.[Sharad],
Content-Based Image Retrieval with Relevance Feedback in MARS,
ICIP97(II: 815-818).
IEEE DOI Link BibRef 9700

Zhou, X.S.[Xiang Sean], Huang, T.S.[Thomas S.],
Relevance feedback in content-based image retrieval: Some recent advances,
IS(148), No. 1-4, December 2002, pp. 129-137.
Elsevier DOI Link BibRef 0212 Survey, Relevance Feedback BibRef
Earlier:
Exploring the Nature and Variants of Relevance Feedback,
CBAIVL01(94).
IEEE DOI Link 0110
BibRef
Earlier:
Image Retrieval: Feature Primitives, Feature Representation, and Relevance Feedback,
CBAIVL00(10-14). 0008
BibRef

Zhou, X.S.[Xiang Sean], Huang, T.S.[Thomas S.],
Relevance Feedback for Image Retrieval: A Comprenhensive Review,
MultSys(8), No. 6, 2003, pp. 536-544. BibRef 0300
Earlier:
Small Sample Learning during Multimedia Retrieval Using BiasMap,
CVPR01(I:11-17).
IEEE Abstract. 0110
BibRef
And: A2, A1:
Image Retrieval with Relevance Feedback: From Heuristic Weight Adjustment to Optimal Learning Methods,
ICIP01(III: 2-5).
IEEE Abstract. 0108
Video retrieval. Mostly the user interaction module, assumes the features have been computed. BibRef

Chen, Y., Zhou, X.S., Huang, T.S.,
One-class SVM for Learning in Image Retrieval,
ICIP01(I: 34-37).
IEEE Abstract. 0108
BibRef

Wu, Y.[Ying], Tian, Q.[Qi], Huang, T.S.,
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback,
ICPR00(Vol I: 21-24).
IEEE DOI Link 0009
BibRef

Rui, Y.[Yong], Qi, G.J.[Guo-Jun],
Learning Concepts by Modeling Relationships,
MCAM07(5-13).
Springer DOI Link 0706
BibRef

Qi, G.J.[Guo-Jun], Aggarwal, C.[Charu], Rui, Y.[Yong], Tian, Q.[Qi], Chang, S.[Shiyu], Huang, T.S.[Thomas S.],
Towards cross-category knowledge propagation for learning visual concepts,
CVPR11(897-904).
IEEE DOI Link 1106
BibRef

Qi, G.J.[Guo-Jun], Tian, Q.[Qi], Huang, T.S.[Thomas S.],
Locality-sensitive support vector machine by exploring local correlation and global regularization,
CVPR11(841-848).
IEEE DOI Link 1106
BibRef

Tian, Q.[Qi], Hong, P.Y.[Peng-Yu], Huang, T.S.[Thomas S.],
Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines,
ICME00(TP11). 0007
BibRef
And: A2, A1, A3:
Incorporate support vector machines to content-based image retrieval with relevance feedback,
ICIP00(Vol III: 750-753).
IEEE Abstract. 0008
BibRef

Yang, J.[Jun], Li, Q.[Qing], Zhuang, Y.T.[Yue-Ting],
Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing,
IJCV(56), No. 1-2, January-February 2004, pp. 47-63.
WWW Version. 0401
BibRef

Zhuang, Y.T.[Yue-Ting], Yang, J.[Jun], Li, Q.[Qing], Pan, Y.H.[Yun-He],
A graphic-theoretic model for incremental relevance feedback in image retrieval,
ICIP02(I: 413-416).
IEEE Abstract. 0210
BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.],
Generalized nonlinear relevance feedback for interactive content-based retrieval and organization,
CirSysVideo(14), No. 5, May 2004, pp. 656-671.
IEEE Abstract. 0407
BibRef
Earlier:
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems,
ICIP03(I: 737-740).
IEEE Abstract. 0312
BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.], Varvarigou, T.A.[Theodora A.],
Efficient Content-based Image Retrieval Using Fuzzy Organization And Optimal Relevance Feedback,
IJIG(3), No. 1, January 2003, pp. 171-208. 0301
BibRef

Chatzis, S.[Sotirios], Doulamis, A.D.[Anastasios D.], Varvarigou, T.A.[Theodora A.],
A content-based image retrieval scheme allowing for robust automatic personalization,
CIVR07(1-8).
WWW Version. 0707
BibRef

Doulamis, N.D., Doulamis, A.D.,
Optimal recursive similarity measure estimation for interactive content-based image retrieval,
ICIP02(I: 972-975).
IEEE Abstract. 0210
BibRef
Earlier:
A Recursive Optimal Relevance Feedback Scheme for Content Based Image Retrieval,
ICIP01(II: 741-744).
IEEE Abstract. 0108
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.],
Evaluation of relevance feedback schemes in content-based in retrieval systems,
SP:IC(20), No. 4, April 2006, pp. 334-357.
WWW Version. Keywords: Relevance feedback; Content-based retrieval; Optimization 0605
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.], Kollias, S.D.[Stefanos D.],
Non-Linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems,
ICME00(MP5). 0007
BibRef

Kushki, A., Androutsos, P., Plataniotis, K.N., Venetsanopoulos, A.N.,
Query feedback for interactive image retrieval,
CirSysVideo(14), No. 5, May 2004, pp. 644-655.
IEEE Abstract. 0407
See also Retrieval of Images from Artistic Repositories Using a Decision Fusion Framework. BibRef

Lee, I.[Ivan], Muneesawang, P.[Paisarn], Guan, L.[Ling],
Automatic Relevance Feedback for Distributed Content-Based Image Retrieval,
GVIP(05), No. V4, 2005, pp. xx-yy
HTML Version. BibRef 0500

Muneesawang, P., Guan, L.[Ling],
Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval,
ICIP02(II: 601-604).
IEEE Abstract. 0210
BibRef
Automatic Similarity Learning Using SOTM for CBIR of the WT/VQ Coded Images,
ICIP01(II: 749-752).
IEEE Abstract. 0108
BibRef
Earlier:
Multiresolution-histogram Indexing and Relevance Feedback Learning for Image Retrieval,
ICIP00(Vol II: 526-529).
IEEE Abstract. 0008
BibRef

Jarrah, K.[Kambiz], Guan, L.[Ling],
Content-based image retrieval via distributed databases,
CIVR08(389-394). 0807
BibRef

Yap, K.H.[Kim-Hui], Wu, K.[Kui],
A soft relevance framework in content-based image retrieval systems,
CirSysVideo(15), No. 12, December 2005, pp. 1557-1568.
IEEE DOI Link 0601
BibRef

Qin, T.[Tao], Zhang, X.D.[Xu-Dong], Liu, T.Y.[Tie-Yan], Wang, D.S.[De-Sheng], Ma, W.Y.[Wei-Ying], Zhang, H.J.[Hong-Jiang],
An active feedback framework for image retrieval,
PRL(29), No. 5, 1 April 2008, pp. 637-646.
WWW Version. 0802
Active learning; Image retrieval; Clustering; Relevance feedback BibRef

Wang, Z.Y.[Zhi-Yong], Chi, Z.[Zheru], Feng, D.D.[David Dagan], Tsoi, A.C.[Ah Chung],
Content-based Image Retrieval With Relevance Feedback Using Adaptive Processing Of Tree-structure Image Representation,
IJIG(3), No. 1, January 2003, pp. 119-143. 0301
BibRef

Yager, R.R.[Ronald R.], Petry, F.E.[Frederick E.],
A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic,
IS(173), No. 4, 23 June 2005, pp. 337-352.
Elsevier DOI Link 0905
BibRef

Li, J.[Jing], Yuan, Y.[Yuan],
Kernel Gbda For Relevance Feedback In Image Retrieval,
IJIG(7), No. 4, October 2007, pp. 767-776. 0710
BibRef

Jaimes, A.[Alejandro], Chang, S.F.[Shih-Fu],
Learning Structured Visual Detectors From User Input At Multiple Levels,
IJIG(1), No. 3, July 2001, pp. 415-444. 0107
BibRef

Arevalillo-Herraez, M.[Miguel], Zacares, M.[Mario], Benavent, X.[Xaro], de Ves, E.[Esther],
A relevance feedback CBIR algorithm based on fuzzy sets,
SP:IC(23), No. 7, August 2008, pp. 490-504.
WWW Version. 0804
CBIR; Fuzzy sets; Relevance feedback BibRef

Arevalillo-Herraez, M.[Miguel], Domingo, J.[Juan], Ferri, F.J.[Francesc J.],
Combining similarity measures in content-based image retrieval,
PRL(29), No. 16, 1 December 2008, pp. 2174-2181.
WWW Version. 0811
CBIR; Combining descriptors; Similarity function; Score normalization; Probabilistic BibRef

Arevalillo-Herraez, M.[Miguel], Ferri, F.J.[Francesc J.], Domingo, J.[Juan],
A naive relevance feedback model for content-based image retrieval using multiple similarity measures,
PR(43), No. 3, March 2010, pp. 619-629.
Elsevier DOI Link
WWW Version. 1001
BibRef
Earlier:
Learning combined similarity measures from user data for image retrieval,
ICPR08(1-4).
IEEE DOI Link 0812
Content-based image retrieval; Relevance feedback; Similarity combination BibRef

Amato, A.[Alberto], di Lecce, V.[Vincenzo],
A knowledge based approach for a fast image retrieval system,
IVC(26), No. 11, 1 November 2008, pp. 1466-1480.
WWW Version. 0804
Knowledge; Multi-query relevance feedback; Image retrieval; Fuzzy clustering BibRef

Sedghi, S.[Shahram], Sanderson, M.[Mark], Clough, P.[Paul],
A study on the relevance criteria for medical images,
PRL(29), No. 15, 1 November 2008, pp. 2046-2057.
WWW Version. 0811
Relevance criteria; Relevance judgment; Image retrieval; Medical imaging BibRef

Kim, W.C.[Woo-Cheol], Song, J.Y.[Ji-Young], Kim, S.W.[Seung-Woo], Park, S.H.[Sang-Hyun],
Image retrieval model based on weighted visual features determined by relevance feedback,
IS(178), No. 22, November, 2008, pp. 4301-4313.
Elsevier DOI Link 0905
BibRef

Marakakis, A., Galatsanos, N.P.[Nikolaos P.], Likas, A.[Aristidis], Stafylopatis, A.,
Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models,
IET-IPR(3), No. 1, February 2009, pp. 10-25.
WWW Version. 0905
BibRef

Marakakis, A., Siolas, G., Galatsanos, N.P., Likas, A., Stafylopatis, A.,
Relevance feedback approach for image retrieval combining support vector machines and adapted gaussian mixture models,
IET-IPR(5), No. 6, 2011, pp. 531-540.
WWW Version. 1108
BibRef

Azimi-Sadjadi, M.R., Salazar, J., Srinivasan, S.,
An Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective Sampling,
IP(18), No. 7, July 2009, pp. 1645-1659.
IEEE DOI Link 0906
BibRef

Rahman, M.M.[M. Mahmudur], Bhattacharya, P.[Prabir], Desai, B.C.[Bipin C.],
A unified image retrieval framework on local visual and semantic concept-based feature spaces,
JVCIR(20), No. 7, October 2009, pp. 450-462,.
Elsevier DOI Link
WWW Version. 0909
BibRef
Earlier:
Probabilistic Similarity Measures in Image Databases with SVM Based Categorization and Relevance Feedback,
ICIAR05(601-608).
Springer DOI Link 0509
Content-based image retrieval; Learning methods; Classification; Self-organizing map; Support vector machine; Relevance feedback; Similarity fusion BibRef

Daoudi, I., Idrissi, K., Ouatik, S.E., Baskurt, A., Aboutajdine, D.,
An efficient high-dimensional indexing method for content-based retrieval in large image databases,
SP:IC(24), No. 10, November 2009, pp. 775-790,.
Elsevier DOI Link
WWW Version. 0911
CBIR; High-dimensional vector space; Region approximation approach; Kernel; Image databases; Relevance feedback BibRef

Daoudi, I., Idrissi, K., Ouatik, S.E.,
Kernel Based Approach for High Dimensional Heterogeneous Image Features Management in CBIR Context,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Yang, Y.[Yi], Wu, F.[Fei], Xu, D.[Dong], Zhuang, Y.T.[Yue-Ting], Chia, L.T.[Liang-Tien],
Cross-media retrieval using query dependent search methods,
PR(43), No. 8, August 2010, pp. 2927-2936.
Elsevier DOI Link
WWW Version. 1006
Content-based multimedia retrieval; Relevance feedback; Multimedia document; Query expansion BibRef

Hu, B.K.[Bao-Kun], Liu, Y.S.[Yu-Sheng], Gao, S.M.[Shu-Ming], Sun, R.[Rui], Xian, C.H.[Chu-Hua],
Parallel relevance feedback for 3D model retrieval based on fast weighted-center particle swarm optimization,
PR(43), No. 8, August 2010, pp. 2950-2961.
Elsevier DOI Link
WWW Version. 1006
Relevance feedback; Parallelism; 3D model retrieval; Particle swarm optimization; Information retrieval BibRef

Broilo, M., de Natale, F.G.B.,
A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization,
MultMed(12), No. 4, 2010, pp. 267-277.
IEEE DOI Link 1006
BibRef

Rota Bulo, S.[Samuel], Rabbi, M.[Massimo], Pelillo, M.[Marcello],
Content-based image retrieval with relevance feedback using random walks,
PR(44), No. 9, September 2011, pp. 2109-2122.
Elsevier DOI Link
WWW Version. 1106
Random walks; Content-based image retrieval; Relevance feedback BibRef

Zagoris, K.[Konstantinos], Ergina, K.[Kavallieratou], Papamarkos, N.[Nikos],
Image retrieval systems based on compact shape descriptor and relevance feedback information,
JVCIR(22), No. 5, July 2011, pp. 378-390.
Elsevier DOI Link
WWW Version. 1106
Retrieval system; Document retrieval; Handwritten words; Word spotting; MPEG-7; Relevance feedback; Support Vector Machines; Shape BibRef

Zhou, W.G.[Wen-Gang], Tian, Q.[Qi], Lu, Y.J.[Yi-Juan], Yang, L.J.[Lin-Jun], Li, H.Q.A.[Hou-Qi-Ang],
Latent visual context learning for web image applications,
PR(44), No. 10-11, October-November 2011, pp. 2263-2273.
Elsevier DOI Link
WWW Version. 1101
BibRef
Earlier: A1, A2, A4, A5, Only:
Latent visual context analysis for image re-ranking,
CIVR10(205-212).
WWW Version. 1007
Visual context; Image re-ranking; Canonical image selection; Set coverage BibRef

Huang, J.[Jun], Yang, X.K.[Xiao-Kang], Fang, X.Z.[Xiang-Zhong], Lin, W.Y.[Wei-Yao], Zhang, R.[Rui],
Integrating Visual Saliency and Consistency for Re-Ranking Image Search Results,
MultMed(13), No. 4, 2011, pp. 653-661.
IEEE DOI Link 1108
BibRef
Earlier: A1, A2, A5, A3, Only Add Lu, F.X.[Fu-Xiang], ICIP10(3173-3176).
IEEE DOI Link 1009
BibRef

Lughofer, E.[Edwin],
Hybrid active learning for reducing the annotation effort of operators in classification systems,
PR(45), No. 2, February 2012, pp. 884-896.
Elsevier DOI Link
WWW Version. 1110
Active learning; Reduction of annotation effort; Unsupervised selection criteria; Certainty-based selection; On-line update of classifiers BibRef

Duan, L.X.[Li-Xin], Li, W., Tsang, I.W.H.[Ivor W.H.], Xu, D.[Dong],
Improving Web Image Search by Bag-Based Reranking,
IP(20), No. 11, November 2011, pp. 3280-3290.
IEEE DOI Link 1110
BibRef

Chang, Y.[Yi], Bai, J.[Jing], Zhou, K.[Ke], Xue, G.R.[Gui-Rong], Zha, H.Y.[Hong-Yuan], Zheng, Z.H.[Zhao-Hui],
Multi-task learning to rank for web search,
PRL(33), No. 2, 15 January 2012, pp. 173-181.
Elsevier DOI Link
WWW Version. 1112
Multi-task learning; Non-parametric common structure; Learning to rank; Convergence analysis BibRef

Wang, M.[Meng], Ji, D.[Dinghuang], Tian, Q.[Qi], Hua, X.S.[Xian-Sheng],
Intelligent photo clustering with user interaction and distance metric learning,
PRL(33), No. 4, March 2012, pp. 462-470.
Elsevier DOI Link
WWW Version. 1201
Photo clustering; Distance metric learning; Online learning; Interactive computing BibRef

Tsai, D.[David], Jing, Y.[Yushi], Liu, Y.[Yi], Rowley, H.A.[Henry A.], Ioffe, S.[Sergey], Rehg, J.M.[James M.],
Large-scale image annotation using visual synset,
ICCV11(611-618).
IEEE DOI Link 1201
Web images. Visually similar and semantically related images grouped together. BibRef

Suditu, N.[Nicolae], Fleuret, F.[Francois],
HEAT: Iterative relevance feedback with one million images,
ICCV11(2118-2125).
IEEE DOI Link 1201
how to scale. BibRef

Zhang, L.[Lei], Gu, X.G.[Xiao-Guang], Zhang, Y.D.[Yong-Dong], Zhang, D.M.[Dong-Ming], Li, J.T.[Jin-Tao],
A pivot-based filtering algorithm for enhancing query performance of LSH,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Tsai, M.H.[Min-Hsuan], Wang, J.J.[Jin-Jun], Zhang, T.[Tong], Gong, Y.H.[Yi-Hong], Huang, T.S.[Thomas S.],
Learning semantic embedding at a large scale,
ICIP11(2497-2500).
IEEE DOI Link 1201
multi-modal cues, text. BibRef

Redi, M.[Miriam], Merialdo, B.[Bernard],
A Multimedia Retrieval Framework Based on Automatic Graded Relevance Judgments,
MMMod12(300-311).
Springer DOI Link 1201
BibRef

Axenopoulos, A.[Apostolos], Manolopoulou, S.[Stavroula], Daras, P.[Petros],
Optimizing Multimedia Retrieval Using Multimodal Fusion and Relevance Feedback Techniques,
MMMod12(716-727).
Springer DOI Link 1201
BibRef

Chen, G.P.[Guang-Peng], Yang, Y.B.[Yu-Bin], Zhang, Y.[Yao], Pan, L.Y.[Ling-Yan], Gao, Y.[Yang], Shang, L.[Lin],
A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm,
ISVC11(II: 328-337).
Springer DOI Link 1109
BibRef

Wang, X.G.[Xiao-Gang], Liu, K.[Ke], Tang, X.[Xiaoou],
Query-specific visual semantic spaces for web image re-ranking,
CVPR11(857-864).
IEEE DOI Link 1106
BibRef

Kreft, S.[Sebastian], Bustos, B.[Benjamin],
Rank-Mixer and Rank-Booster: Improving the Effectiveness of Retrieval Methods,
ICPR-Contests10(119-128).
Springer DOI Link 1008
BibRef

Sun, Y.[Yu], Bhanu, B.[Bir],
Image retrieval with feature selection and relevance feedback,
ICIP10(3209-3212).
IEEE DOI Link 1009
BibRef

Tsai, S.S.[Sam S.], Chen, D.[David], Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Vedantham, R.[Ramakrishna], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Fast geometric re-ranking for image-based retrieval,
ICIP10(1029-1032).
IEEE DOI Link 1009
BibRef

Zhang, L.[Lei], Li, P.[Piji], Ma, J.[Jun],
A hybrid unsupervised image re-ranking approach with latent topic contents,
CIVR10(319-326).
WWW Version. 1007
BibRef

Feng, S.H.[Song-He], Lang, C.Y.[Cong-Yan], Xu, D.[De],
Beyond tag relevance: Integrating visual attention model and multi-instance learning for tag saliency ranking,
CIVR10(288-295).
WWW Version. 1007
BibRef

Chen, J.[Jian], Ma, R.[Rui], Su, Z.[Zhong],
Weighting visual features with pseudo relevance feedback for CBIR,
CIVR10(220-227).
WWW Version. 1007
BibRef

Yu, N.[Ning], Vu, K.[Khanh], Hua, K.A.[Kien A.],
An in-memory relevance feedback technique for high-performance image retrieval systems,
CIVR07(9-16).
WWW Version. 0707
BibRef

Yao, T.[Ting], Mei, T.[Tao], Ngo, C.W.[Chong-Wah],
Co-reranking by mutual reinforcement for image search,
CIVR10(34-41).
WWW Version. 1007
BibRef

Saboorian, M.M.[Mohammad Mehdi], Jamzad, M.[Mansour], Rabiee, H.R.[Hamid R.],
User Adaptive Clustering for Large Image Databases,
ICPR10(4271-4274).
IEEE DOI Link 1008
BibRef

Zhou, W.G.[Wen-Gang], Lu, Y.J.[Yi-Juan], Li, H.Q.[Hou-Qiang], Tian, Q.[Qi],
Canonical Image Selection by Visual Context Learning,
ICPR10(834-837).
IEEE DOI Link 1008
Subset of photos that characterize the collection. BibRef

Ebert, S.[Sandra], Larlus, D.[Diane], Schiele, B.[Bernt],
Extracting Structures in Image Collections for Object Recognition,
ECCV10(I: 720-733).
Springer DOI Link 1009
Using information in the collection for unlabelled data. BibRef

Camoglu, O.[Orhan], Yu, T.L.[Tian-Li], Bertelli, L.[Luca], Vu, D.[Diem], Muralidharan, V., Gokturk, S.[Salih],
An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios,
OLCV10(28-34).
IEEE DOI Link 1006
BibRef

Aly, M.[Mohamed],
Online learning for parameter selection in large scale image search,
OLCV10(35-42).
IEEE DOI Link 1006
BibRef

Su, Y.[Yu], Allan, M.[Moray], Jurie, F.[Frederic],
Improving object classification using semantic attributes,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Krapac, J.[Josip], Verbeek, J.[Jakob], Jurie, F.[Frederic],
Learning Tree-structured Quantizers for Image Categorization,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Krapac, J.[Josip], Allan, M.[Moray], Verbeek, J.[Jakob], Jurie, F.[Frederic],
Improving web image search results using query-relative classifiers,
CVPR10(1094-1101).
IEEE DOI Link 1006
BibRef

Mishra, S.[Surjeet], Ghosh, H.[Hiranmay],
Effective Visualization and Navigation in a Multimedia Document Collection Using Ontology,
PReMI09(501-506).
Springer DOI Link 0912
BibRef

Abulaish, M.[Muhammad], Jahiruddin, Doja, M.N.[Mohammad Najmud], Ahmad, T.[Tanvir],
Feature and Opinion Mining for Customer Review Summarization,
PReMI09(219-224).
Springer DOI Link 0912
BibRef

Mazarbhuiya, F.A.[Fokrul Alom], Abulaish, M.[Muhammad], Mahanta, A.K.[Anjana Kakoti], Ahmad, T.[Tanvir],
Mining Local Association Rules from Temporal Data Set,
PReMI09(255-260).
Springer DOI Link 0912
BibRef

Abulaish, M.[Muhammad], Jahiruddin, Dey, L.[Lipika],
A Relation Mining and Visualization Framework for Automated Text Summarization,
PReMI09(249-254).
Springer DOI Link 0912
BibRef

Dey, L.[Lipika], Abulaish, M.[Muhammad], Goyel, R.[Rohit], Jahiruddin,
Semantic Integration of Information Through Relation Mining: Application to Bio-medical Text Processing,
PReMI07(365-372).
Springer DOI Link 0712
BibRef

Liu, R.[Rui], Yang, L.[Linjun], Hua, X.S.[Xian-Sheng],
Image Search Result Summarization with Informative Priors,
ACCV09(III: 485-495).
Springer DOI Link 0909
BibRef

Herawan, T.[Tutut], Yanto, I.T.R.[Iwan Tri Riyadi], Deris, M.M.[Mustafa Mat],
SMARViz: Soft Maximal Association Rules Visualization,
IVIC09(664-674).
Springer DOI Link 0911
Datamining presentation. BibRef

Gao, S.H.[Sheng-Hua], Cheng, X.G.[Xian-Gang], Wang, H.[Huan], Chia, L.T.[Liang-Tien],
Concept model-based unsupervised web image re-ranking,
ICIP09(793-796).
IEEE DOI Link 0911
BibRef

Broilo, M., de Natale, F.G.B.,
Evolutionary image retrieval,
ICIP09(1845-1848).
IEEE DOI Link 0911
BibRef

Barcelos, E.Z., Flores, E.L., Barcelos, C.A.Z., Silva, S.F., Batista, M.A.,
A Multi-Dimensional Similarity Modeling and Relevance Feedback Approach for Content-Based Image Retrieval.,
WSSIP09(1-5).
IEEE DOI Link 0906
BibRef

Wan, K.W.[Kong-Wah], Roy, S.[Sujoy],
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Interactive Retrieval, Browsing based Retrieval .