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1
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2942624165
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Clustering with Bregman divergences
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A. Banerjee, S. Merugu, I. Dhillon, and J. Ghosh. Clustering with Bregman divergences. In Journal of Machine Learning Research, pages 234-245, 2004.
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Journal of Machine Learning Research
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Banerjee, A.1
Merugu, S.2
Dhillon, I.3
Ghosh, J.4
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2
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43049174575
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Speeded-up robust features (surf)
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H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. Speeded-up robust features (surf). Comput. Vis. Image Underst., 110(3):346-359, 2008.
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Bay, H.1
Ess, A.2
Tuytelaars, T.3
Van Gool, L.4
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4
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84856454763
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Transform coding of feature descriptors
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San Jose, California, January
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V. Chandrasekhar, G. Takacs, D. M. Chen, S. S. Tsai, and B. Girod. Transform coding of feature descriptors. In Proc. of Visual Communications and Image Processing Conference (VCIP), San Jose, California, January 2009.
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(2009)
Proc. of Visual Communications and Image Processing Conference (VCIP)
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Chandrasekhar, V.1
Takacs, G.2
Chen, D.M.3
Tsai, S.S.4
Girod, B.5
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5
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70450196932
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CHoG: Compressed Histogram of Gradients - A low bit rate feature descriptor
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Miami, Florida, June
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V. Chandrasekhar, G. Takacs, D. M. Chen, S. S. Tsai, R. Grzeszczuk, and B. Girod. CHoG: Compressed Histogram of Gradients - A low bit rate feature descriptor. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
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(2009)
Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Chandrasekhar, V.1
Takacs, G.2
Chen, D.M.3
Tsai, S.S.4
Grzeszczuk, R.5
Girod, B.6
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6
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77956007301
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April
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D. M. Chen, S. S. Tsai, R. Vedantham, R. Grzeszczuk, and B. Girod. CD Cover Database - Query Images, April 2008.
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(2008)
CD Cover Database - Query Images
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Chen, D.M.1
Tsai, S.S.2
Vedantham, R.3
Grzeszczuk, R.4
Girod, B.5
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7
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0024480421
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Entropy constrained vector quantization
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Jan
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P. A. Chou, T. Lookabaugh, and R.M.Gray. Entropy constrained vector quantization. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(1), Jan 1989.
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IEEE Transactions on Acoustics, Speech and Signal Processing
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Chou, P.A.1
Lookabaugh, T.2
Gray, R.M.3
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12
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56749104169
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Hamming embedding and weak geometric consistency for large scale image search
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Berlin, Heidelberg
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H. Jegou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In Proc. of European Conference on Computer Vision (ECCV), pages 304-317, Berlin, Heidelberg, 2008.
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Proc. of European Conference on Computer Vision (ECCV)
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Jegou, H.1
Douze, M.2
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14
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3042535216
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Distinctive image features from scale-invariant keypoints
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D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
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International Journal of Computer Vision
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Lowe, D.1
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15
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70349202325
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Compression of image patches for local feature extraction
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Taipei, Taiwan, April
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M. Makar, C. Chang, D. M. Chen, S. S. Tsai, and B. Girod. Compression of Image Patches for Local Feature Extraction. In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, April 2009.
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(2009)
Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Makar, M.1
Chang, C.2
Chen, D.M.3
Tsai, S.S.4
Girod, B.5
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17
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51949105132
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Lost in quantization - Improving particular object retrieval in large scale image databases
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Anchorage, Alaska, June
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J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in quantization - improving particular object retrieval in large scale image databases. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June 2008.
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Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman., A.5
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20
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77955990579
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Unified real-time tracking and recognition with rotation invariant fast features
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Accepted to, SFO, California, June
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G. Takacs, V. Chandrasekhar, D. M. Chen, S. S. Tsai, R. Grzeszczuk, and B. Girod. Unified Real-time Tracking and Recognition with Rotation Invariant Fast Features. In Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), SFO, California, June 2010.
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(2010)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Takacs, G.1
Chandrasekhar, V.2
Chen, D.M.3
Tsai, S.S.4
Grzeszczuk, R.5
Girod, B.6
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21
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70450242872
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Outdoors augmented reality on mobile phone using loxel-based visual feature organization
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Vancouver, Canada, October
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G. Takacs, V. Chandrasekhar, N. Gelfand, Y. Xiong,W. Chen, T. Bismpigiannis, R. Grzeszczuk, K. Pulli, and B. Girod. Outdoors augmented reality on mobile phone using loxel-based visual feature organization. In Proc. of ACM International Conference on Multimedia Information Retrieval (ACM MIR), Vancouver, Canada, October 2008.
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(2008)
Proc. of ACM International Conference on Multimedia Information Retrieval (ACM MIR)
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Takacs, G.1
Chandrasekhar, V.2
Gelfand, N.3
Xiongw. Chen, Y.4
Bismpigiannis, T.5
Grzeszczuk, R.6
Pulli, K.7
Girod, B.8
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23
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70450208928
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Picking the best daisy
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Miami, Florida, June
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S.Winder, G. Hua, and M. Brown. Picking the best daisy. In Proc. of Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009.
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(2009)
Proc. of Computer Vision and Pattern Recognition (CVPR)
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Winder, S.1
Hua, G.2
Brown, M.3
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24
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69949125267
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Rate-efficient visual correspondences using random projections
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San Diego, California, October
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C. Yeo, P. Ahammad, and K. Ramchandran. Rate-efficient visual correspondences using random projections. In Proc. of IEEE International Conference on Image Processing (ICIP), San Diego, California, October 2008.
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(2008)
Proc. of IEEE International Conference on Image Processing (ICIP)
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Yeo, C.1
Ahammad, P.2
Ramchandran, K.3
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