Understanding User's Intention in Semantic Based Image Retrieval: Combining Positive and Negative Examples
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Mohamed Batouche | Mohammed Lamine Kherfi | Zineb Kaoudja | Meriem Korichi | Hadjer Bencheikh | M. Batouche | M. L. Kherfi | Zineb Kaoudja | Meriem Korichi | Hadjer Bencheikh
[1] J. Tenenbaum,et al. Word learning as Bayesian inference. , 2007, Psychological review.
[2] Roberto Navigli,et al. Word sense disambiguation: A survey , 2009, CSUR.
[3] Heung-Kyu Lee,et al. Majority Based Ranking Approach in Web Image Retrieval , 2003, CIVR.
[4] Andrew McCallum,et al. Using Maximum Entropy for Text Classification , 1999 .
[5] John Atkinson,et al. Ensembling Classifiers for Detecting User Intentions behind Web Queries , 2016, IEEE Internet Computing.
[6] Pietro Perona,et al. A Visual Category Filter for Google Images , 2004, ECCV.
[7] Thomas L. Griffiths,et al. Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies , 2013, NIPS.
[8] Felix Naumann,et al. Data fusion , 2009, CSUR.
[9] Xiaogang Wang,et al. IntentSearch: Capturing User Intention for One-Click Internet Image Search , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Cordelia Schmid,et al. TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] In-Ho Kang,et al. Query type classification for web document retrieval , 2003, SIGIR.
[12] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[13] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.
[14] Hasan S. Bilge,et al. Content based image retrieval with sparse representations and local feature descriptors : A comparative study , 2017, Pattern Recognit..
[15] Giles M. Foody,et al. Hard and soft classifications by a neural network with a non-exhaustively defined set of classes , 2002 .
[16] Meng Wang,et al. Visual query suggestion , 2009, ACM Multimedia.
[17] Zainab Abu Bakar,et al. Analysis of retrieval result on ontology-based query reformulation , 2014, 2014 International Conference on Computer, Communications, and Control Technology (I4CT).
[18] Yee Whye Teh,et al. Image Retrieval with a Bayesian Model of Relevance Feedback , 2016, ArXiv.
[19] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[20] Zhenyu Liu,et al. Automatic identification of user goals in Web search , 2005, WWW '05.
[21] Fei-Fei Li,et al. Hierarchical semantic indexing for large scale image retrieval , 2011, CVPR 2011.
[22] Sharifullah Khan,et al. Image retrieval based on fuzzy ontology , 2017, Multimedia Tools and Applications.
[23] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[24] Thomas L. Griffiths,et al. of the Annual Meeting of the Cognitive Science Society Title Constructing a hypothesis space from the Web for large-scale Bayesian word learning , 2012 .
[25] Mohand Boughanem,et al. Using Pseudo-relevance Feedback to Improve Image Retrieval Results , 2008, CLEF.
[26] Djemel Ziou,et al. Combining positive and negative examples in relevance feedback for content-based image retrieval , 2003, J. Vis. Commun. Image Represent..
[27] Jimmy J. Lin,et al. What Works Better for Question Answering: Stemming or Morphological Query Expansion? , 2004 .
[28] J. Tenenbaum,et al. Generalization, similarity, and Bayesian inference. , 2001, The Behavioral and brain sciences.
[29] Xuelong Li,et al. Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[31] Rong Yan,et al. Multimedia Search with Pseudo-relevance Feedback , 2003, CIVR.
[32] Mohammed Lamine Kherfi,et al. Review of Human-Computer Interaction Issues in Image Retrieval , 2008 .
[33] Nuno Vasconcelos,et al. Bridging the Gap: Query by Semantic Example , 2007, IEEE Transactions on Multimedia.