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Volumn , Issue , 2012, Pages 2488-2495

Discriminately decreasing discriminability with learned image filters

Author keywords

[No Author keywords available]

Indexed keywords

BAND PASS; CLASSIFICATION TASKS; CROWDSOURCING; DATA SETS; DISCRIMINABILITY; EXPRESSION RECOGNITION; FACE IMAGES; FACIAL EXPRESSIONS; IMAGE FILTERS; INPUT SIGNAL; MECHANICAL TURKS; PRIVACY CONCERNS; TRAINING DATA SETS; TRAINING DATASET;

EID: 84866650455     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247964     Document Type: Conference Paper
Times cited : (18)

References (16)
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    • 77952651613 scopus 로고    scopus 로고
    • Re-interpreting the application of gabor filters as a manipulation of the margin in linear svms
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    • A. Ashraf and S. Lucey. Re-interpreting the application of gabor filters as a manipulation of the margin in linear svms. Pattern Analysis and Machine Intell., 2010. 1
    • (2010) Pattern Analysis and Machine Intell.
    • Ashraf, A.1    Lucey, S.2
  • 2
    • 0030832881 scopus 로고    scopus 로고
    • The "independent components" of natural scenes are edge filters
    • 1
    • T. Bell and T. Sejnowski. The "independent components" of natural scenes are edge filters. Vision Research, 1997. 1
    • (1997) Vision Research
    • Bell, T.1    Sejnowski, T.2
  • 5
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • 3
    • R. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 1936. 3
    • (1936) Annals of Eugenics
    • Fisher, R.1
  • 8
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • 1
    • H. Lee, R. Grosse, R. Ranganath, and A. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009. 1
    • (2009) ICML
    • Lee, H.1    Grosse, R.2    Ranganath, R.3    Ng, A.4
  • 13
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • 8
    • H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 2000. 8
    • (2000) Journal of Statistical Planning and Inference
    • Shimodaira, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.