메뉴 건너뛰기




Volumn 07-12-June-2015, Issue , 2015, Pages 3332-3339

Sparse projections for high-dimensional binary codes

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CODES; BINS; CLUSTERING ALGORITHMS; COMPUTER VISION; IMAGE CLASSIFICATION; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION;

EID: 84955327635     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298954     Document Type: Conference Paper
Times cited : (102)

References (33)
  • 1
    • 84906351367 scopus 로고    scopus 로고
    • Analyzing the performance of multilayer neural networks for object recognition
    • Springer
    • P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In ECCV, pages 329-344. Springer, 2014
    • (2014) ECCV , pp. 329-344
    • Agrawal, P.1    Girshick, R.2    Malik, J.3
  • 2
    • 38749118638 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In FOCS, pages 459-468, 2006
    • (2006) FOCS , pp. 459-468
    • Andoni, A.1    Indyk, P.2
  • 5
    • 84960798507 scopus 로고
    • Variational methods for the solution of problems of equilibrium and vibrations
    • R. Courant. Variational methods for the solution of problems of equilibrium and vibrations. Bulletin of the American Mathematical Society, 49(1):1-23, 1943
    • (1943) Bulletin of the American Mathematical Society , vol.49 , Issue.1 , pp. 1-23
    • Courant, R.1
  • 9
    • 84887348338 scopus 로고    scopus 로고
    • Optimized product quantization for approximate nearest neighbor search
    • T. Ge, K. He, Q. Ke, and J. Sun. Optimized product quantization for approximate nearest neighbor search. In CVPR, 2013
    • (2013) CVPR
    • Ge, T.1    He, K.2    Ke, Q.3    Sun, J.4
  • 10
    • 84887391600 scopus 로고    scopus 로고
    • Learning binary codes for high-dimensional data using bilinear projections
    • Y. Gong, S. Kumar, H. A. Rowley, and S. Lazebnik. Learning binary codes for high-dimensional data using bilinear projections. In CVPR, 2013
    • (2013) CVPR
    • Gong, Y.1    Kumar, S.2    Rowley, H.A.3    Lazebnik, S.4
  • 11
    • 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. In CVPR, 2011
    • (2011) CVPR
    • Gong, Y.1    Lazebnik, S.2
  • 13
    • 84928278589 scopus 로고    scopus 로고
    • Spatial pyramid pooling in deep convolutional networks for visual recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014
    • (2014) ECCV
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 16
    • 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. In STOC, 1998
    • (1998) STOC
    • Indyk, P.1    Motwani, R.2
  • 17
    • 70449560133 scopus 로고    scopus 로고
    • Hamming embedding and weak geometric consistency for large scale image search
    • H. Jegou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In ECCV, 2008
    • (2008) ECCV
    • Jegou, H.1    Douze, M.2    Schmid, C.3
  • 18
    • 78649317568 scopus 로고    scopus 로고
    • Product quantization for nearest neighbor search
    • H. Jegou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. TPAMI, 2011
    • (2011) TPAMI
    • Jegou, H.1    Douze, M.2    Schmid, C.3
  • 19
    • 77956004473 scopus 로고    scopus 로고
    • Aggregating local descriptors into a compact image representation
    • H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In CVPR, 2010
    • (2010) CVPR
    • Jegou, H.1    Douze, M.2    Schmid, C.3    Perez, P.4
  • 20
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 21
    • 84858740468 scopus 로고    scopus 로고
    • Learning to hash with binary reconstructive embeddings
    • B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. In NIPS, 2009
    • (2009) NIPS
    • Kulis, B.1    Darrell, T.2
  • 23
    • 85147175076 scopus 로고    scopus 로고
    • Efficient sparse coding algorithms
    • H. Lee, A. Battle, R. Raina, and A. Ng. Efficient sparse coding algorithms. In NIPS, 2006
    • (2006) NIPS
    • Lee, H.1    Battle, A.2    Raina, R.3    Ng, A.4
  • 24
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60:91-110, 2004
    • (2004) IJCV , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 25
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. IJCV, 2001
    • (2001) IJCV
    • Oliva, A.1    Torralba, A.2
  • 26
    • 34948815101 scopus 로고    scopus 로고
    • Fisher kernels on visual vocabularies for image categorization
    • F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007
    • (2007) CVPR
    • Perronnin, F.1    Dance, C.2
  • 28
    • 80052885179 scopus 로고    scopus 로고
    • High-dimensional signature compression for large-scale image classification
    • J. Sánchez and F. Perronnin. High-dimensional signature compression for large-scale image classification. In CVPR, 2011
    • (2011) CVPR
    • Sánchez, J.1    Perronnin, F.2
  • 29
    • 0000988974 scopus 로고
    • A generalized solution of the orthogonal procrustes problem
    • P. Schönemann. A generalized solution of the orthogonal procrustes problem. Psychometrika, 31(1):1-10, 1966
    • (1966) Psychometrika , vol.31 , Issue.1 , pp. 1-10
    • Schönemann, P.1
  • 30
    • 85012251675 scopus 로고    scopus 로고
    • A new alternating minimization algorithm for total variation image reconstruction
    • Y. Wang, J. Yang, W. Yin, and Y. Zhang. A new alternating minimization algorithm for total variation image reconstruction. SIAM Journal on Imaging Sciences, 2008
    • (2008) SIAM Journal on Imaging Sciences
    • Wang, Y.1    Yang, J.2    Yin, W.3    Zhang, Y.4
  • 31
  • 33
    • 84937902251 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional neural networks
    • M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional neural networks. In ECCV, 2014.
    • (2014) ECCV
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.