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Volumn , Issue , 2010, Pages 3603-3606

Scene classification using spatial pyramid of latent topics

Author keywords

Bag of words; Probabilistic latent semantic analysis; Scene classification; Spatial pyramid matching

Indexed keywords

BAG OF WORDS; DATA SETS; LOCAL FEATURE; OVERLAPPING REGIONS; PERFORMANCE EVALUATION; PLSA MODEL; PROBABILISTIC LATENT SEMANTIC ANALYSIS; RESOLUTION LEVEL; SCENE CLASSIFICATION; SPATIAL LAYOUT; SPATIAL PYRAMID MATCHING;

EID: 78149474521     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.879     Document Type: Conference Paper
Times cited : (22)

References (11)
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    • Fei-Fei, L.1    Perona, P.2
  • 2
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • Lazebnik S., Schmid C. and Ponce J. "Beyond bags of features: spatial pyramid matching for recognizing natural scene categories," Proc. IEEE CVPR, vol. 2, 2006, pp. 2169-2178.
    • (2006) Proc. IEEE CVPR , vol.2 , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 4
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale invariant keypoints
    • Lowe D. "Distinctive image features from scale invariant keypoints," Int'l J. Computer Vision, vol. 60, no. 2, 2004, pp. 91-110.
    • (2004) Int'l J. Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 6
    • 36849003521 scopus 로고    scopus 로고
    • Towards optimal bag-of-features for object categorization and semantic video retrieval
    • Jiang J., Ngo C.W. and Yang J. "Towards optimal bag-of-features for object categorization and semantic video retrieval," ACM Int'l CIVR, 2007.
    • (2007) ACM Int'l CIVR
    • Jiang, J.1    Ngo, C.W.2    Yang, J.3
  • 7
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann T. "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning, vol. 41, no. 2, 2001, pp. 177-196.
    • (2001) Machine Learning , vol.41 , Issue.2 , pp. 177-196
    • Hofmann, T.1
  • 8
    • 33745860018 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: An in-depth study
    • Zhang J., Marszalek M., Lazebnik S. and Schmid C. "Local features and kernels for classification of texture and object categories: an in-depth study," INRIA Technical Report RR- 5737, 2005.
    • (2005) INRIA Technical Report RR- 5737
    • Zhang, J.1    Marszalek, M.2    Lazebnik, S.3    Schmid, C.4
  • 9
    • 33846249191 scopus 로고    scopus 로고
    • Sampling strategies for bag-of-features image classification
    • Nowak E. "Sampling strategies for bag-of-features image classification," ECCV, 2006.
    • (2006) ECCV
    • Nowak, E.1
  • 10
    • 70450162315 scopus 로고    scopus 로고
    • Recognizing indoor scenes
    • A. Quattoni and A.Torralba. "Recognizing indoor scenes," IEEE CVPR, 2009, pp. 413-420.
    • (2009) IEEE CVPR , pp. 413-420
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  • 11
    • 78149479793 scopus 로고    scopus 로고
    • http://www-cvr.ai.uiuc.edu/ponce-grp/data/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.