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Volumn , Issue , 2011, Pages 513-517

Joint optimization of hidden conditional random fields and non linear feature extraction

Author keywords

Conditional Random Fields; Deep Neural Networks; Handwriting recognition

Indexed keywords

CONDITIONAL RANDOM FIELD; HANDWRITING RECOGNITION; HIDDEN CONDITIONAL RANDOM FIELDS; HIDDEN STATE; HYBRID MODEL; JOINT OPTIMIZATION; MULTI-STEP; NONCONVEX OPTIMIZATION; NONLINEAR FEATURE EXTRACTION; NONLINEAR FEATURES;

EID: 82355186407     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.109     Document Type: Conference Paper
Times cited : (7)

References (28)
  • 1
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • B. Juang and S. Katagiri, "Discriminative learning for minimum error classification," in IEEE Trans. Signal Processing, Vol.40, No.12, 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , Issue.12
    • Juang, B.1    Katagiri, S.2
  • 2
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
    • M. Collins, "Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms," in EMNLP, 2002.
    • (2002) EMNLP
    • Collins, M.1
  • 3
    • 0036461035 scopus 로고    scopus 로고
    • Large scale discriminative training of hidden markov models for speech recognition
    • P. Woodland and D. Povey, "Large scale discriminative training of hidden markov models for speech recognition,"Computer Speech and Language, 2002.
    • (2002) Computer Speech and Language
    • Woodland, P.1    Povey, D.2
  • 4
    • 84864038630 scopus 로고    scopus 로고
    • Large margin hidden markov models for automatic speech recognition
    • B. Schölkopf, J. Platt, and T. Hoffman, Eds. MIT Press
    • F. Sha and L. K. Saul, "Large margin hidden markov models for automatic speech recognition," in NIPS 19, B. Schölkopf, J. Platt, and T. Hoffman, Eds. MIT Press, 2007.
    • (2007) NIPS 19
    • Sha, F.1    Saul, L.K.2
  • 5
    • 70049104378 scopus 로고    scopus 로고
    • Large margin training for hidden Markov models with partially observed states
    • T.-M.-T. Do and T. Artières, "Large margin training for hidden Markov models with partially observed states," in ICML, 2009.
    • (2009) ICML
    • Do, T.-M.-T.1    Artières, T.2
  • 10
    • 34948881770 scopus 로고    scopus 로고
    • Latent-dynamic discriminative models for continuous gesture recognition
    • L.-P. Morency, A. Quattoni, and T. Darrell, "Latent-dynamic discriminative models for continuous gesture recognition," in CVPR, 2007.
    • (2007) CVPR
    • Morency, L.-P.1    Quattoni, A.2    Darrell, T.3
  • 11
    • 85113387701 scopus 로고    scopus 로고
    • Investigating loss functions and optimization methods for discriminative learning of label sequences
    • Y. Altun, M. Johnson, and T. Hofmann, "Investigating loss functions and optimization methods for discriminative learning of label sequences," in Empirical methods in natural language processing, 2003.
    • (2003) Empirical Methods in Natural Language Processing
    • Altun, Y.1    Johnson, M.2    Hofmann, T.3
  • 12
    • 80053062612 scopus 로고    scopus 로고
    • Rna secondary structural alignment with conditional random fields
    • K. Sato and Y. Sakakibara, "Rna secondary structural alignment with conditional random fields," in ECCB/JBI, 2005.
    • (2005) ECCB/JBI
    • Sato, K.1    Sakakibara, Y.2
  • 13
    • 84898948585 scopus 로고    scopus 로고
    • Max-margin markov networks
    • S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press
    • B. Taskar, C. Guestrin, and D. Koller, "Max-margin markov networks," in NIPS 16, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004.
    • (2004) NIPS 16
    • Taskar, B.1    Guestrin, C.2    Koller, D.3
  • 14
    • 14344255620 scopus 로고    scopus 로고
    • Kernel conditional random fields: Representation and clique selection
    • J. Lafferty, X. Zhu, and Y. Liu, "Kernel conditional random fields: representation and clique selection," in ICML, 2004.
    • (2004) ICML
    • Lafferty, J.1    Zhu, X.2    Liu, Y.3
  • 15
    • 46449135503 scopus 로고    scopus 로고
    • Hidden conditional random fields for meeting segmentation
    • S. Reiter, B. Schuller, and G. Rigoll, "Hidden conditional random fields for meeting segmentation," in ICME, 2007.
    • (2007) ICME
    • Reiter, S.1    Schuller, B.2    Rigoll, G.3
  • 17
    • 56449110012 scopus 로고    scopus 로고
    • Classification using discriminative restricted boltzmann machines
    • H. Larochelle and Y. Bengio, "Classification using discriminative restricted boltzmann machines," ICML, 2008.
    • (2008) ICML
    • Larochelle, H.1    Bengio, Y.2
  • 18
    • 78149327745 scopus 로고    scopus 로고
    • Generative versus discriminative training of rbms for classification of fmri images
    • T. Schmah, G. Hinton, R. Zemel, S. Small, and S. Strother, "Generative versus discriminative training of rbms for classification of fmri images," in NIPS, 2008.
    • (2008) NIPS
    • Schmah, T.1    Hinton, G.2    Zemel, R.3    Small, S.4    Strother, S.5
  • 19
    • 0030648914 scopus 로고    scopus 로고
    • Global training of document processing systems using graph transformer networks
    • Y. L. L. Bottou, Y. Bengio, "Global training of document processing systems using graph transformer networks," in Computer Vision and Pattern Recognition, 1997.
    • (1997) Computer Vision and Pattern Recognition
    • Bottou, Y.L.L.1    Bengio, Y.2
  • 20
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning," in ICML, 2008.
    • (2008) ICML
    • Collobert, R.1    Weston, J.2
  • 21
    • 79951759981 scopus 로고    scopus 로고
    • Neural conditional random fields
    • T.-M.-T. Do and T. Artières, "Neural conditional random fields," in AISTAT, 2010.
    • (2010) AISTAT
    • Do, T.-M.-T.1    Artières, T.2
  • 22
    • 82355163941 scopus 로고    scopus 로고
    • Conditional random fields for integrating local discriminative classifiers
    • J. Morris and E. Fosler-Lussier, "Conditional random fields for integrating local discriminative classifiers," in EMNLP, 2008.
    • (2008) EMNLP
    • Morris, J.1    Fosler-Lussier, E.2
  • 23
    • 84863373241 scopus 로고    scopus 로고
    • Conditional neural fields
    • J. Peng, L. Bo, and J. Xu, "Conditional neural fields," NIPS, 2009.
    • (2009) NIPS
    • Peng, J.1    Bo, L.2    Xu, J.3
  • 24
    • 82355181235 scopus 로고    scopus 로고
    • Training conditional random fields using transfer learning for gesture recognition
    • J. Liu, K. Yu, Y. Zhang, and Y. Huang, "Training conditional random fields using transfer learning for gesture recognition,"ICDM, 2010.
    • (2010) ICDM
    • Liu, J.1    Yu, K.2    Zhang, Y.3    Huang, Y.4
  • 25
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. Hinton, "Training products of experts by minimizing contrastive divergence," Neural Computation, 2002.
    • (2002) Neural Computation
    • Hinton, G.1
  • 26
    • 71249156083 scopus 로고    scopus 로고
    • Maximum margin training of gaussian hmms for handwriting recognition
    • T. Do and T. Artieres, "Maximum margin training of gaussian hmms for handwriting recognition," in ICDAR, 2009.
    • (2009) ICDAR
    • Do, T.1    Artieres, T.2
  • 27
    • 3042558762 scopus 로고    scopus 로고
    • A full english sentence database for off-line handwriting recognition
    • U. Marti and H. Bunke, "A full english sentence database for off-line handwriting recognition," in ICDAR, 2002.
    • (2002) ICDAR
    • Marti, U.1    Bunke, H.2
  • 28
    • 0035247074 scopus 로고    scopus 로고
    • Using a statistical language model to improve the performance of an hmm-based cursive handwriting recognition system
    • U.-V. Marti and H. Bunke, "Using a statistical language model to improve the performance of an hmm-based cursive handwriting recognition system," IJPRAI, 2001.
    • (2001) IJPRAI
    • Marti, U.-V.1    Bunke, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.