메뉴 건너뛰기




Volumn 15, Issue , 2014, Pages 1461-1492

Training highly multiclass classifiers

Author keywords

Classification; Large scale; Multiclass; Online learning; Stochastic gradient

Indexed keywords

IMAGE RECOGNITION;

EID: 84901640061     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (90)

References (51)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • E. L. Allwein, R. E. Schapire, and Y. Singer. Reducing multiclass to binary: a unifying approach for margin classifiers. Journal Machine Learning Research, 1:113-141, 2000. (Pubitemid 33738778)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.2 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 3
    • 85162050606 scopus 로고    scopus 로고
    • Label embedding trees for large multi-class tasks
    • S. Bengio, J. Weston, and D. Grangier. Label embedding trees for large multi-class tasks. In NIPS, 2010.
    • (2010) NIPS
    • Bengio, S.1    Weston, J.2    Grangier, D.3
  • 7
    • 0000460102 scopus 로고    scopus 로고
    • Interval estimation for a binomial proportion
    • L. D. Brown, T. T. Cai, and A. DasGupta. Interval estimation for a binomial proportion. Statistical Science, 16(2):101-117, 2001.
    • (2001) Statistical Science , vol.16 , Issue.2 , pp. 101-117
    • Brown, L.D.1    Cai, T.T.2    Das Gupta, A.3
  • 8
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal Machine Learning Research, 2001.
    • (2001) Journal Machine Learning Research
    • Crammer, K.1    Singer, Y.2
  • 9
    • 0036568032 scopus 로고    scopus 로고
    • On the learnability and design of output codes for multiclass problems
    • DOI 10.1023/A:1013637720281, Computational Learning Theory
    • K. Crammer and Y. Singer. On the learnability and design of output codes for multiclass problems. Machine Learning, 47(2):201-233, 2002. (Pubitemid 34126110)
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 201-233
    • Crammer, K.1    Singer, Y.2
  • 11
    • 84877772139 scopus 로고    scopus 로고
    • Multiclass learning approaches: A theoretical comparison with implications
    • A. Daniely, S. Sabato, and S. Shalev-Shwartz. Multiclass learning approaches: A theoretical comparison with implications. In NIPS, 2012.
    • (2012) NIPS
    • Daniely, A.1    Sabato, S.2    Shalev-Shwartz, S.3
  • 15
    • 85162353669 scopus 로고    scopus 로고
    • Fast and balanced: Eficient label tree learning for large scale object recognition
    • J. Deng, S. Satheesh, A. C. Berg, and L. Fei-Fei. Fast and balanced: Eficient label tree learning for large scale object recognition. In NIPS, 2011.
    • (2011) NIPS
    • Deng, J.1    Satheesh, S.2    Berg, A.C.3    Fei-Fei, L.4
  • 16
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. G. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal Artificial Intelligence Research, 2:264-286, 1995.
    • (1995) Journal Artificial Intelligence Research , vol.2 , pp. 264-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 17
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • J. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal Machine Learning Research, 12:2121-2159, 2011.
    • (2011) Journal Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 22
    • 34247576789 scopus 로고    scopus 로고
    • The pyramid match kernel: Efficient learning with sets of features
    • K. Grauman and T. Darrell. The pyramid match kernel: Eficient learning with sets of features. Journal Machine Learning Research, 8:725-760, April 2007. (Pubitemid 46677049)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 725-760
    • Grauman, K.1    Darrell, T.2
  • 23
    • 51949092342 scopus 로고    scopus 로고
    • Learning and using taxonomies for fast visual categorization
    • G. Grifin and P. Perona. Learning and using taxonomies for fast visual categorization. In CVPR, 2008.
    • (2008) CVPR
    • Grifin, G.1    Perona, P.2
  • 24
    • 0036088194 scopus 로고    scopus 로고
    • Combining discriminant models with new multi-class SVMs
    • DOI 10.1007/s100440200015
    • Y. Guermeur. Combining discriminant models with new multi-class SVMs. Pattern Analysis and Applications, 5:168-179, 2002. (Pubitemid 40830130)
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 168-179
    • Guermeur, Y.1
  • 28
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 31
    • 80052870284 scopus 로고    scopus 로고
    • Large-scale image classification: Fast feature extraction and SVM training
    • Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, K. Yu, L. Cao, and T. Huang. Large-scale image classification: Fast feature extraction and SVM training. In CVPR, 2011.
    • (2011) CVPR
    • Lin, Y.1    Lv, F.2    Zhu, S.3    Yang, M.4    Cour, T.5    Yu, K.6    Cao, L.7    Huang, T.8
  • 34
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
    • (2006) CVPR
    • Nister, D.1    Stewenius, H.2
  • 35
    • 46649096871 scopus 로고    scopus 로고
    • Towards Target 1 of the Global Strategy for Plant Conservation: A working list of all known plant species - Progress and prospects
    • A. Paton, N. Brummitt, R. Govaerts, K. Harman, S. Hinchclifie, B. Allkin, and E. Lughadha. Target 1 of the global strategy for plant conservation: a working list of all known plant speciesprogress and prospects. Taxon, 57:602-611, 2008. (Pubitemid 351934178)
    • (2008) Taxon , vol.57 , Issue.2 , pp. 602-611
    • Paton, A.J.1    Brummitt, N.2    Govaerts, R.3    Harman, K.4    Hinchcliffe, S.5    Allkin, B.6    Lughadha, E.N.7
  • 36
    • 84866652997 scopus 로고    scopus 로고
    • Towards good practice in large-scale learning for image classification
    • F. Perronnin, Z. Akata, Z. Harchaoui, and C. Schmid. Towards good practice in large-scale learning for image classification. In CVPR, 2012.
    • (2012) CVPR
    • Perronnin, F.1    Akata, Z.2    Harchaoui, Z.3    Schmid, C.4
  • 38
    • 80052885179 scopus 로고    scopus 로고
    • High-dimensional signature compression for large-scale image classification
    • J. Sanchez and F. Perronnin. High-dimensional signature compression for large-scale image classification. In CVPR, 2011.
    • (2011) CVPR
    • Sanchez, J.1    Perronnin, F.2
  • 40
    • 84901631260 scopus 로고    scopus 로고
    • Multiclass-multilabel classication with more classes than examples
    • O. Shamir and O. Dekel. Multiclass-multilabel classication with more classes than examples. In Proc. AISTATS, 2010.
    • (2010) Proc. AISTATS
    • Shamir, O.1    Dekel, O.2
  • 41
    • 15844413351 scopus 로고    scopus 로고
    • A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    • DOI 10.1093/bioinformatics/bti033
    • A. Statnikov, C. F. Aliferis, I. Tsamardinos, D. Hardin, and S. Levy. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 21(5):631-643, 2005. (Pubitemid 40424789)
    • (2005) Bioinformatics , vol.21 , Issue.5 , pp. 631-643
    • Statnikov, A.1    Aliferis, C.F.2    Tsamardinos, I.3    Hardin, D.4    Levy, S.5
  • 43
    • 71149107027 scopus 로고    scopus 로고
    • Ranking with ordered weighted pairwise classifi- cation
    • N. Usunier, D. Bufioni, and P. Gallinari. Ranking with ordered weighted pairwise classifi- cation. In ICML, 2009.
    • (2009) ICML
    • Usunier, N.1    Bufioni, D.2    Gallinari, P.3
  • 45
    • 0003425673 scopus 로고    scopus 로고
    • Technical Report CSD- TR- 98-04 Dept. Computer Science, Royal Holloway, University London
    • J. Weston and C. Watkins. Multi-class support vector machines. Technical Report CSD- TR-98-04 Dept. Computer Science, Royal Holloway, University London, 1998.
    • (1998) Multi-class Support Vector Machines
    • Weston, J.1    Watkins, C.2
  • 48
    • 84897475513 scopus 로고    scopus 로고
    • Label partitioning for sublinear ranking
    • J. Weston, A. Makadia, and H. Yee. Label partitioning for sublinear ranking. In ICML, 2013a.
    • (2013) ICML
    • Weston, J.1    Makadia, A.2    Yee, H.3
  • 50
    • 77956554074 scopus 로고    scopus 로고
    • Dual averaging methods for regularized stochastic learning and online optimization
    • L. Xiao. Dual averaging methods for regularized stochastic learning and online optimization. Microsoft Research Technical Report MSR-TR-2010-23, 2010.
    • (2010) Microsoft research technical report msr-tr , pp. 2010-2023
    • Xiao, L.1
  • 51
    • 26944483874 scopus 로고    scopus 로고
    • Statistical analysis of some multi-category large margin classification methods
    • T. Zhang. Statistical analysis of some multi-category large margin classification methods. Journal Machine Learning Research, 5:1225-1251, 2004.
    • (2004) Journal Machine Learning Research , vol.5 , pp. 1225-1251
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.