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Volumn , Issue , 2013, Pages 3432-3439

Attribute adaptation for personalized image search

Author keywords

attributes; domain adaptation; image retrieval; personalization

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

EID: 84898777227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.426     Document Type: Conference Paper
Times cited : (70)

References (28)
  • 1
    • 84856675275 scopus 로고    scopus 로고
    • Tabula Rasa: Model transfer for object category detection
    • Y. Aytar and A. Zisserman. Tabula Rasa: Model Transfer for Object Category Detection. In ICCV, 2011.
    • (2011) ICCV
    • Aytar, Y.1    Zisserman, A.2
  • 2
    • 80052896727 scopus 로고    scopus 로고
    • Automatic attribute discovery and characterization from noisy web data
    • T. Berg, A. Berg, and J. Shih. Automatic Attribute Discovery and Characterization from Noisy Web Data. In ECCV, 2010.
    • (2010) ECCV
    • Berg, T.1    Berg, A.2    Shih, J.3
  • 5
    • 84856678025 scopus 로고    scopus 로고
    • The benefits and challenges of collecting richer object annotations
    • I. Endres, A. Farhadi, D. Hoiem, and D. Forsyth. The Benefits and Challenges of Collecting Richer Object Annotations. In ACVHL, 2010.
    • (2010) ACVHL
    • Endres, I.1    Farhadi, A.2    Hoiem, D.3    Forsyth, D.4
  • 7
    • 0028419019 scopus 로고
    • Maximum a posterior estimation for multivariate gaussian mixture observations of markov chains
    • J. Gauvain and C.-H. Lee. Maximum A Posterior Estimation For Multivariate Gaussian Mixture Observations Of Markov Chains. IEEE Transactions on Speech and Audio Processing, 2, 1994.
    • (1994) IEEE Transactions on Speech and Audio Processing , vol.2
    • Gauvain, J.1    Lee, C.-H.2
  • 9
    • 84866657270 scopus 로고    scopus 로고
    • Geodesic flow kernel for unsupervised domain adaptation
    • B. Gong, Y. Shi, F. Sha, and K. Grauman. Geodesic Flow Kernel for Unsupervised Domain Adaptation. In CVPR, 2012.
    • (2012) CVPR
    • Gong, B.1    Shi, Y.2    Sha, F.3    Grauman, K.4
  • 10
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • R. Gopalan, R. Li, and R. Chellapa. Domain Adaptation for Object Recognition: An Unsupervised Approach. In ICCV, 2011.
    • (2011) ICCV
    • Gopalan, R.1    Li, R.2    Chellapa, R.3
  • 11
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing Search Engines Using Clickthrough Data. In KDD, 2002.
    • (2002) KDD
    • Joachims, T.1
  • 12
    • 84898787187 scopus 로고    scopus 로고
    • Attribute pivots for guiding relevance feedback in image search
    • A. Kovashka and K. Grauman. Attribute Pivots for Guiding Relevance Feedback in Image Search. In ICCV, 2013.
    • (2013) ICCV
    • Kovashka, A.1    Grauman, K.2
  • 13
    • 84866726804 scopus 로고    scopus 로고
    • Whittlesearch: Image search with relative attribute feedback
    • A. Kovashka, D. Parikh, and K. Grauman. WhittleSearch: Image Search with Relative Attribute Feedback. In CVPR, 2012.
    • (2012) CVPR
    • Kovashka, A.1    Parikh, D.2    Grauman, K.3
  • 14
    • 80052006840 scopus 로고    scopus 로고
    • Describable visual attributes for face verification and image search
    • N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Describable Visual Attributes for Face Verification and Image Search. PAMI, 2011.
    • (2011) PAMI
    • Kumar A C Berg, N.1    Belhumeur, P.N.2    Nayar, S.K.3
  • 15
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. Lampert, H. Nickisch, and S. Harmeling. Learning to Detect Unseen Object Classes by Between-class Attribute Transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.1    Nickisch, H.2    Harmeling, S.3
  • 16
  • 17
    • 84887393691 scopus 로고    scopus 로고
    • Attributes for classifier feedback
    • A. Parkash and D. Parikh. Attributes for Classifier Feedback. In ECCV, 2012.
    • (2012) ECCV
    • Parkash, A.1    Parikh, D.2
  • 19
    • 84866637964 scopus 로고    scopus 로고
    • SUN attribute database: Discovering, annotating, and recognizing scene attributes
    • G. Patterson and J. Hays. SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes. In CVPR, 2012.
    • (2012) CVPR
    • Patterson, G.1    Hays, J.2
  • 20
    • 78149301639 scopus 로고    scopus 로고
    • Adapting visual category models to new domains
    • K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting Visual Category Models to New Domains. In ECCV, 2010.
    • (2010) ECCV
    • Saenko, K.1    Kulis, B.2    Fritz, M.3    Darrell, T.4
  • 21
    • 84866720092 scopus 로고    scopus 로고
    • Multi-Attribute spaces: Calibration for attribute fusion and similarity search
    • W. Scheirer, N. Kumar, P. Belhumeur, and T. Boult. Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search. In CVPR, 2012.
    • (2012) CVPR
    • Scheirer, W.1    Kumar, N.2    Belhumeur, P.3    Boult, T.4
  • 22
    • 84887386223 scopus 로고    scopus 로고
    • Constrained semi-supervised learning using attributes and comparative attributes
    • A. Shrivastava, S. Singh, and A. Gupta. Constrained Semi-Supervised Learning using Attributes and Comparative Attributes. In ECCV, 2012.
    • (2012) ECCV
    • Shrivastava, A.1    Singh, S.2    Gupta, A.3
  • 23
    • 80052894348 scopus 로고    scopus 로고
    • Image ranking and retrieval based on multi-attribute queries
    • B. Siddiquie, R. Feris, and L. Davis. Image Ranking and Retrieval Based on Multi-Attribute Queries. In CVPR, 2011.
    • (2011) CVPR
    • Siddiquie, B.1    Feris, R.2    Davis, L.3
  • 24
    • 77953222843 scopus 로고    scopus 로고
    • A Shape-based object class model for knowledge transfer
    • M. Stark, M. Goesele, and B. Schiele. A Shape-based Object Class Model for Knowledge Transfer. In ICCV, 2009.
    • (2009) ICCV
    • Stark, M.1    Goesele, M.2    Schiele, B.3
  • 25
    • 84866010071 scopus 로고    scopus 로고
    • Learning from crowds in the presence of schools of thought
    • Y. Tian and J. Zhu. Learning from Crowds in the Presence of Schools of Thought. In KDD, 2012.
    • (2012) KDD
    • Tian, Y.1    Zhu, J.2
  • 26
    • 0034792634 scopus 로고    scopus 로고
    • Support vector machine active learning for image retrieval
    • S. Tong and E. Chang. Support Vector Machine Active Learning for Image Retrieval. In ACM Multimedia, 2001.
    • (2001) ACM Multimedia
    • Tong, S.1    Chang, E.2
  • 28
    • 49549114434 scopus 로고    scopus 로고
    • Adapting SVM classifiers to data with shifted distributions
    • J. Yang, R. Yan, and A. G. Hauptmann. Adapting SVM Classifiers to Data with Shifted Distributions. In ICDM Workshops, 2007.
    • (2007) ICDM Workshops
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.