메뉴 건너뛰기




Volumn 2, Issue , 2012, Pages 1061-1069

Hamming distance metric learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION RESULTS; DISTANCE METRIC LEARNING; HIGH DIMENSIONAL DATA; INFERENCE ALGORITHM; LARGE-SCALE APPLICATIONS; MULTIMEDIA APPLICATIONS; RETRIEVAL PERFORMANCE; SEMANTIC SIMILARITY;

EID: 84877790557     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (614)

References (37)
  • 1
    • 84877779449 scopus 로고    scopus 로고
    • http://yann.lecun.com/exdb/mnist/.
  • 2
    • 0001209372 scopus 로고
    • Accelerated backpropagation learning: Two optimization methods
    • R. Battiti. Accelerated backpropagation learning: Two optimization methods. Complex Systems, 1989.
    • (1989) Complex Systems
    • Battiti, R.1
  • 3
    • 85162311477 scopus 로고    scopus 로고
    • Picodes: Learning a compact code for novel-category recognition
    • A. Bergamo, L. Torresani, and A. Fitzgibbon. Picodes: Learning a compact code for novel-category recognition. NIPS, 2011.
    • (2011) NIPS
    • Bergamo, A.1    Torresani, L.2    Fitzgibbon, A.3
  • 4
    • 0036040277 scopus 로고    scopus 로고
    • Similarity estimation techniques from rounding algorithms
    • M. Charikar. Similarity estimation techniques from rounding algorithms. STOC, 2002.
    • (2002) STOC
    • Charikar, M.1
  • 5
    • 77951165246 scopus 로고    scopus 로고
    • Large scale online learning of image similarity through ranking
    • G. Chechik, V. Sharma, U. Shalit, and S. Bengio. Large scale online learning of image similarity through ranking. JMLR, 2010.
    • (2010) JMLR
    • Chechik, G.1    Sharma, V.2    Shalit, U.3    Bengio, S.4
  • 6
    • 80053446757 scopus 로고    scopus 로고
    • An analysis of single-layer networks in unsupervised feature learning
    • A. Coates, H. Lee, and A. Ng. An analysis of single-layer networks in unsupervised feature learning. AISTATS, 2011.
    • (2011) AISTATS
    • Coates, A.1    Lee, H.2    Ng, A.3
  • 9
    • 57349114053 scopus 로고    scopus 로고
    • Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces
    • W. Dong, M. Charikar, and K. Li. Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces. SIGIR, 2008.
    • (2008) SIGIR
    • Dong, W.1    Charikar, M.2    Li, K.3
  • 11
    • 50649117726 scopus 로고    scopus 로고
    • Learning globally-consistent local distance functions for shape-based image retrieval and classification
    • A. Frome, Y. Singer, F. Sha, and J. Malik. Learning globally-consistent local distance functions for shape-based image retrieval and classification. ICCV, 2007.
    • (2007) ICCV
    • Frome, A.1    Singer, Y.2    Sha, F.3    Malik, J.4
  • 13
    • 80052874105 scopus 로고    scopus 로고
    • Iterative quantization: A procrustean approach to learning binary codes
    • Y. Gong and S. Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. CVPR, 2011.
    • (2011) CVPR
    • Gong, Y.1    Lazebnik, S.2
  • 14
    • 80052897324 scopus 로고    scopus 로고
    • Asymmetric distances for binary embeddings
    • A. Gordo and F. Perronnin. Asymmetric distances for binary embeddings. CVPR, 2011.
    • (2011) CVPR
    • Gordo, A.1    Perronnin, F.2
  • 15
    • 85117137933 scopus 로고
    • Multi-index hashing for information retrieval
    • D. Greene, M. Parnas, and F. Yao. Multi-index hashing for information retrieval. FOCS, 1994.
    • (1994) FOCS
    • Greene, D.1    Parnas, M.2    Yao, F.3
  • 16
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006.
    • (2006) Science
    • Hinton, G.1    Salakhutdinov, R.2
  • 17
    • 0031644241 scopus 로고    scopus 로고
    • Approximate nearest neighbors: Towards removing the curse of dimensionality
    • P. Indyk and R. Motwani. Approximate nearest neighbors: towards removing the curse of dimensionality. STOC, 1998.
    • (1998) STOC
    • Indyk, P.1    Motwani, R.2
  • 18
  • 20
    • 84858740468 scopus 로고    scopus 로고
    • Learning to hash with binary reconstructive embeddings
    • B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. NIPS, 2009.
    • (2009) NIPS
    • Kulis, B.1    Darrell, T.2
  • 21
    • 77953184849 scopus 로고    scopus 로고
    • Kernelized locality-sensitive hashing for scalable image search
    • B. Kulis and K. Grauman. Kernelized locality-sensitive hashing for scalable image search. ICCV, 2009.
    • (2009) ICCV
    • Kulis, B.1    Grauman, K.2
  • 23
    • 70349675925 scopus 로고    scopus 로고
    • Fast approximate nearest neighbors with automatic algorithm configuration
    • M. Muja and D. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. VISSAPP, 2009.
    • (2009) VISSAPP
    • Muja, M.1    Lowe, D.2
  • 24
    • 80053457714 scopus 로고    scopus 로고
    • Minimal loss hashing for compact binary codes
    • M. Norouzi and D. J. Fleet. Minimal Loss Hashing for Compact Binary Codes. ICML, 2011.
    • (2011) ICML
    • Norouzi, M.1    Fleet, D.J.2
  • 25
    • 84866714589 scopus 로고    scopus 로고
    • Fast search in hamming space with multi-index hashing
    • M. Norouzi, A. Punjani, and D. Fleet. Fast search in hamming space with multi-index hashing. CVPR, 2012.
    • (2012) CVPR
    • Norouzi, M.1    Punjani, A.2    Fleet, D.3
  • 26
    • 79954525255 scopus 로고    scopus 로고
    • Locality-sensitive binary codes from shift-invariant kernels
    • M. Raginsky and S. Lazebnik. Locality-sensitive binary codes from shift-invariant kernels. NIPS, 2009.
    • (2009) NIPS
    • Raginsky, M.1    Lazebnik, S.2
  • 29
    • 0345414554 scopus 로고    scopus 로고
    • Fast pose estimation with parameter-sensitive hashing
    • G. Shakhnarovich, P. A. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. ICCV, 2003.
    • (2003) ICCV
    • Shakhnarovich, G.1    Viola, P.A.2    Darrell, T.3
  • 30
    • 14344262273 scopus 로고    scopus 로고
    • Online and batch learning of pseudo-metrics
    • S. Shalev-Shwartz, Y. Singer, and A. Ng. Online and batch learning of pseudo-metrics. ICML, 2004.
    • (2004) ICML
    • Shalev-Shwartz, S.1    Singer, Y.2    Ng, A.3
  • 31
    • 84945900998 scopus 로고    scopus 로고
    • Best practice for convolutional neural networks applied to visual document analysis
    • P. Simard, D. Steinkraus, and J. Platt. Best practice for convolutional neural networks applied to visual document analysis. ICDR, 2003.
    • (2003) ICDR
    • Simard, P.1    Steinkraus, D.2    Platt, J.3
  • 32
    • 51949119257 scopus 로고    scopus 로고
    • Small codes and large image databases for recognition
    • A. Torralba, R. Fergus, and Y. Weiss. Small codes and large image databases for recognition. CVPR, 2008.
    • (2008) CVPR
    • Torralba, A.1    Fergus, R.2    Weiss, Y.3
  • 33
    • 77956496400 scopus 로고    scopus 로고
    • Sequential projection learning for hashing with compact codes
    • J. Wang, S. Kumar, and S. Chang. Sequential Projection Learning for Hashing with Compact Codes. ICML, 2010.
    • (2010) ICML
    • Wang, J.1    Kumar, S.2    Chang, S.3
  • 34
    • 33749550361 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • K. Weinberger, J. Blitzer, and L. Saul. Distance metric learning for large margin nearest neighbor classification. NIPS, 2006.
    • (2006) NIPS
    • Weinberger, K.1    Blitzer, J.2    Saul, L.3
  • 36
    • 85133386144 scopus 로고    scopus 로고
    • Distance metric learning, with application to clustering with side-information
    • E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. NIPS, 2002.
    • (2002) NIPS
    • Xing, E.1    Ng, A.2    Jordan, M.3    Russell, S.4
  • 37
    • 71149086466 scopus 로고    scopus 로고
    • Learning structural SVMs with latent variables
    • C. N. J. Yu and T. Joachims. Learning structural SVMs with latent variables. ICML, 2009.
    • (2009) ICML
    • Yu, C.N.J.1    Joachims, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.