메뉴 건너뛰기




Volumn , Issue PART 3, 2013, Pages 2113-2121

Anytime representation learning

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIAGNOSIS; SEARCH ENGINES;

EID: 84897488130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (38)
  • 1
    • 0032096712 scopus 로고    scopus 로고
    • Optimization problems with perturbations: A guided tour
    • Bormans, J Frédéric and Shapiro, Alexander. Optimization problems with perturbations: A guided tour. SIAM review, 40(2):228-264, 1998.
    • (1998) SIAM Review , vol.40 , Issue.2 , pp. 228-264
    • Bormans, J.F.1    Shapiro, A.2
  • 3
    • 84867135311 scopus 로고    scopus 로고
    • Fast classification using sparse decision dags
    • Busa-Fekete, R., Benbouzid, D., Kégl, B., et al. Fast classification using sparse decision dags. In ICML, 2012.
    • (2012) ICML
    • Busa-Fekete, R.1    Benbouzid, D.2    Kégl, B.3
  • 6
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • DOI 10.1023/A:1012450327387
    • Chapelle, O., Vapnik, V., Bousquet, O., and Mukherjee, S. Choosing multiple parameters for support vector machines. Machine Learning, 46(1):131-159, 2002. (Pubitemid 34129966)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 8
    • 84867137043 scopus 로고    scopus 로고
    • Classifier cascade for minimizing feature evaluation cost
    • Chen, M., Xu, Z., Weinberger, K. Q., and Chapelle, O. Classifier cascade for minimizing feature evaluation cost. In AISTATS, 2012.
    • (2012) AISTATS
    • Chen, M.1    Xu, Z.2    Weinberger, K.Q.3    Chapelle, O.4
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. and Vapnik, V. Support-vector networks. Machine learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 55249109544 scopus 로고    scopus 로고
    • The forgetron: A kernel-based perceptron on a budget
    • Dekel, Ofer, Shalev-Shwartz, Shai, and Singer, Yoram. The forgetron: A kernel-based perceptron on a budget. SIAM Journal on Computing, 37(5):1342-1372, 2008.
    • (2008) SIAM Journal on Computing , vol.37 , Issue.5 , pp. 1342-1372
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 12
    • 84983110889 scopus 로고
    • A desicion-theoretic generalization of on-line learning and an application to boosting
    • Springer
    • Freund, Y. and Schapire, R. A desicion-theoretic generalization of on-line learning and an application to boosting. In Computational learning theory, pp. 23-37. Springer, 1995.
    • (1995) Computational Learning Theory , pp. 23-37
    • Freund, Y.1    Schapire, R.2
  • 13
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J.H. Greedy function approximation: a gradient boosting machine. The Annals of Statistics, pp. 1189-1232, 2001. (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 14
    • 85162423878 scopus 로고    scopus 로고
    • Active classification based on value of classifier
    • Gao, T. and Roller, D. Active classification based on value of classifier. In NIPS, pp. 1062-1070. 2011a.
    • (2011) NIPS , pp. 1062-1070
    • Gao, T.1    Roller, D.2
  • 15
    • 80053456237 scopus 로고    scopus 로고
    • Multiclass boosting with hinge loss based on output coding
    • Gao, Tianshi and Roller, Daphne. Multiclass boosting with hinge loss based on output coding. ICML '11, pp. 569-576, 2011b.
    • (2011) ICML '11 , pp. 569-576
    • Gao, T.1    Roller, D.2
  • 16
    • 84944054137 scopus 로고    scopus 로고
    • Pedestrian detection from a moving vehicle
    • Gavrila, D. Pedestrian detection from a moving vehicle. ECCV 2000, pp. 37-49, 2000.
    • (2000) ECCV 2000 , pp. 37-49
    • Gavrila, D.1
  • 17
    • 84867123721 scopus 로고    scopus 로고
    • Speedboost: Anytime prediction with uniform near-optimality
    • Grubb, A. and Bagnell, J. A. Speedboost: Anytime prediction with uniform near-optimality. In AISTATS, 2012.
    • (2012) AISTATS
    • Grubb, A.1    Bagnell, J.A.2
  • 21
    • 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. In CVPR, pp. 2169-2178, 2006.
    • (2006) CVPR , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 22
    • 85161991159 scopus 로고    scopus 로고
    • Joint cascade optimization using a product of boosted classifiers
    • Lefakis, L. and Fleuret, F. Joint cascade optimization using a product of boosted classifiers. In NIPS, pp. 1315-1323. 2010.
    • (2010) NIPS , pp. 1315-1323
    • Lefakis, L.1    Fleuret, F.2
  • 23
    • 85162513516 scopus 로고    scopus 로고
    • Object bank: A high-level image representation for scene classification and semantic feature sparsification
    • Li, L.J., Su, H., Xing, E.P., and Fei-Fei, L. Object bank: A high-level image representation for scene classification and semantic feature sparsification. NIPS, 2010.
    • (2010) NIPS
    • Li, L.J.1    Su, H.2    Xing, E.P.3    Fei-Fei, L.4
  • 27
    • 84867121714 scopus 로고    scopus 로고
    • Using classifier cascades for scalable e-mail classification
    • Pujara, J., Daumé III, H., and Getoor, L. Using classifier cascades for scalable e-mail classification. In CEAS, 2011.
    • (2011) CEAS
    • Pujara, J.1    Daumé III, H.2    Getoor, L.3
  • 28
    • 77956199907 scopus 로고    scopus 로고
    • Designing efficient cascaded classifiers: Tradeoff between accuracy and cost
    • Raykar, V.C., Krishnapuram, B., and Yu, S. Designing efficient cascaded classifiers: tradeoff between accuracy and cost. In ACM SIGKDD, pp. 853-860, 2010.
    • (2010) ACM SIGKDD , pp. 853-860
    • Raykar, V.C.1    Krishnapuram, B.2    Yu, S.3
  • 29
    • 85162018114 scopus 로고    scopus 로고
    • Boosting classifier cascades
    • Saberian, M. and Vasconcelos, N. Boosting classifier cascades. In NIPS, pp. 2047-2055. 2010.
    • (2010) NIPS , pp. 2047-2055
    • Saberian, M.1    Vasconcelos, N.2
  • 30
    • 84877767383 scopus 로고    scopus 로고
    • Learning image descriptors with the boosting-trick
    • Trzcinski, Tomasz, Christoudias, Mario, Lepetit, Vincent, and Fua, Pascal. Learning image descriptors with the boosting-trick. In NIPS, pp. 278-286. 2012.
    • (2012) NIPS , pp. 278-286
    • Trzcinski, T.1    Christoudias, M.2    Lepetit, V.3    Fua, P.4
  • 31
    • 84873421395 scopus 로고    scopus 로고
    • Parallel boosted regression trees for web search ranking
    • ACM
    • Tyree, S., Weinberger, K.Q., Agrawal, K., and Paykin, J. Parallel boosted regression trees for web search ranking. In WWW, pp. 387-396. ACM, 2011.
    • (2011) WWW , pp. 387-396
    • Tyree, S.1    Weinberger, K.Q.2    Agrawal, K.3    Paykin, J.4
  • 32
    • 2142812371 scopus 로고    scopus 로고
    • Robust real-time face detection
    • Viola, P. and Jones, M.J. Robust real-time face detection. IJCV, 57(2):137-154, 2004.
    • (2004) IJCV , vol.57 , Issue.2 , pp. 137-154
    • Viola, P.1    Jones, M.J.2
  • 33
    • 84877761843 scopus 로고    scopus 로고
    • Local supervised learning through space partitioning
    • Wang, J. and Saligrama, V. Local supervised learning through space partitioning. In NIPS, pp. 91-99, 2012.
    • (2012) NIPS , pp. 91-99
    • Wang, J.1    Saligrama, V.2
  • 35
    • 77955988947 scopus 로고    scopus 로고
    • Sun database: Large-scale scene recognition from abbey to zoo
    • IEEE
    • Xiao, Jianxiong, Hays, James, Ehinger, Krista A, Oliva, Aude, and Torralba, Antonio. Sun database: Large-scale scene recognition from abbey to zoo. In CVPR, pp. 3485-3492. IEEE, 2010.
    • (2010) CVPR , pp. 3485-3492
    • Xiao, J.1    Hays, J.2    Ehinger, K.A.3    Oliva, A.4    Torralba, A.5
  • 36
    • 84867129211 scopus 로고    scopus 로고
    • The greedy miser: Learning under test-time budgets
    • Xu, Z., Weinberger, K.Q., and Chapelle, O. The greedy miser: Learning under test-time budgets. In ICML, pp. 1175-1182, 2012.
    • (2012) ICML , pp. 1175-1182
    • Xu, Z.1    Weinberger, K.Q.2    Chapelle, O.3
  • 37
    • 84897496647 scopus 로고    scopus 로고
    • Cost-sensitive tree of classifiers
    • Dasgupta, Sanjoy and McAllester, David (eds.), to appear
    • Xu, Zhixiang, Kusner, Matt J., Weinberger, Kilian Q., and Chen, Minmin. Cost-sensitive tree of classifiers. In Dasgupta, Sanjoy and McAllester, David (eds.), ICML '13, pp. to appear, 2013.
    • (2013) ICML '13
    • Xu, Z.1    Kusner, M.J.2    Weinberger, K.Q.3    Chen, M.4
  • 38
    • 85161963897 scopus 로고    scopus 로고
    • A general boosting method and its application to learning ranking functions for web search
    • Cambridge, MA
    • Zheng, Z., Zha, H., Zhang, T., Chapelle, O., Chen, K., and Sun, G. A general boosting method and its application to learning ranking functions for web search. In NIPS, pp. 1697-1704. Cambridge, MA, 2008.
    • (2008) NIPS , pp. 1697-1704
    • Zheng, Z.1    Zha, H.2    Zhang, T.3    Chapelle, O.4    Chen, K.5    Sun, G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.