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Yair Weiss, A. Torralba, R. Fergus (2008)
Spectral Hashing
Wei Wang, B. Ooi, Xiaoyan Yang, Dongxiang Zhang, Yueting Zhuang (2014)
Effective Multi-Modal Retrieval based on Stacked Auto-EncodersProc. VLDB Endow., 7
W. Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang (2011)
Hashing with Graphs
Gregory Shakhnarovich, Paul Viola, Trevor Darrell (2003)
Fast pose estimation with parameter-sensitive hashingProceedings Ninth IEEE International Conference on Computer Vision
Yi Zhen, D. Yeung (2012)
A probabilistic model for multimodal hash function learning
Yunchao Gong, S. Lazebnik (2011)
Iterative quantization: A procrustean approach to learning binary codesCVPR 2011
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, Yantao Zheng (2009)
NUS-WIDE: a real-world web image database from National University of Singapore
Jiawei Han (2007)
IntroductionACM Trans. Knowl. Discov. Data, 1
E. Beale, W. Zangwill (1970)
Nonlinear Programming: A Unified Approach., 133
A. Singh, Geoffrey Gordon (2008)
Relational learning via collective matrix factorization
Xiaofeng Zhu, Zi Huang, Heng Shen, Xin Zhao (2013)
Linear cross-modal hashing for efficient multimedia searchProceedings of the 21st ACM international conference on Multimedia
Jun Wang, O. Kumar, Shih-Fu Chang (2010)
Semi-supervised hashing for scalable image retrieval2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
J. Zhou, Guiguang Ding, Yuchen Guo (2014)
Latent semantic sparse hashing for cross-modal similarity searchProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
Behjat Siddiquie, B. White, Abhishek Sharma, L. Davis (2014)
Multi-Modal Image Retrieval for Complex Queries using Small CodesProceedings of International Conference on Multimedia Retrieval
Fei Wu, Zhou Yu, Yi Yang, Siliang Tang, Yin Zhang, Yueting Zhuang (2014)
Sparse Multi-Modal HashingIEEE Transactions on Multimedia, 16
Mayur Datar, Nicole Immorlica, P. Indyk, V. Mirrokni (2004)
Locality-sensitive hashing scheme based on p-stable distributions
M. Huiskes, M. Lew (2008)
The MIR flickr retrieval evaluation
R. Salakhutdinov, Geoffrey Hinton (2009)
Semantic hashingInt. J. Approx. Reason., 50
R. Meyer (1976)
Sufficient Conditions for the Convergence of Monotonic Mathematical Programming AlgorithmsJ. Comput. Syst. Sci., 12
(2014)
Dongxiang Zhang, and Yueting Zhuang. 2014. Effective multimodal retrieval based on stacked auto-encoders
Yadong Mu, Jialie Shen, Shuicheng Yan (2010)
Weakly-supervised hashing in kernel space2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A. Yuille, Anand Rangarajan (2001)
The Concave-Convex Procedure (CCCP)
Shaishav Kumar, Raghavendra Udupa (2011)
Learning Hash Functions for Cross-View Similarity Search
M. Raginsky, S. Lazebnik (2009)
Locality-sensitive binary codes from shift-invariant kernels
A. Gionis, P. Indyk, R. Motwani (1999)
Similarity Search in High Dimensions via Hashing
C. Strecha, A. Bronstein, M. Bronstein, P. Fua (2012)
LDAHash: Improved Matching with Smaller DescriptorsIEEE Transactions on Pattern Analysis and Machine Intelligence, 34
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang (2013)
Comparing apples to oranges: a scalable solution with heterogeneous hashingProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
M. Bronstein, A. Bronstein, Fabrice Michel, N. Paragios (2010)
Data fusion through cross-modality metric learning using similarity-sensitive hashing2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(2014)
Received October ACM Transactions on Knowledge Discovery from Data
Yi Zhen, D. Yeung (2012)
Co-Regularized Hashing for Multimodal Data
D. Blei, A. Ng, Michael Jordan (2009)
Latent Dirichlet Allocation
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu (2010)
Self-taught hashing for fast similarity searchProceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
J. Bezdek, R. Hathaway (2003)
Convergence of Alternating OptimizationNeural Parallel Sci. Comput., 11
J. Uhlmann (1991)
Satisfying General Proximity/Similarity Queries with Metric TreesInf. Process. Lett., 40
(2003)
Latent Dirichlet allocation. J. Mach. Learn. Res
B. Kulis, Prateek Jain, K. Grauman (2009)
Fast Similarity Search for Learned MetricsIEEE Transactions on Pattern Analysis and Machine Intelligence, 31
S. Shalev-Shwartz, Y. Singer, N. Srebro, Andrew Cotter (2007)
Pegasos: primal estimated sub-gradient solver for SVMMathematical Programming, 127
Alexandr Andoni, P. Indyk (2006)
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06)
Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao (2013)
Parametric Local Multimodal Hashing for Cross-View Similarity Search
Novi Quadrianto, Christoph Lampert (2011)
Learning Multi-View Neighborhood Preserving Projections
A. Gunawardana, W. Byrne (2005)
Convergence Theorems for Generalized Alternating Minimization ProceduresJ. Mach. Learn. Res., 6
Jingkuan Song, Yang Yang, Yi Yang, Zi-Liang Huang, Heng Shen (2013)
Inter-media hashing for large-scale retrieval from heterogeneous data sources
Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang (2014)
Scalable heterogeneous translated hashingProceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
B. Kulis, K. Grauman (2009)
Kernelized locality-sensitive hashing for scalable image search2009 IEEE 12th International Conference on Computer Vision
R. Weber, H. Schek, Stephen Blott (1998)
A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces
J. Bentley (1975)
Multidimensional binary search trees used for associative searchingCommun. ACM, 18
Guiguang Ding, Yuchen Guo, J. Zhou (2014)
Collective Matrix Factorization Hashing for Multimodal Data2014 IEEE Conference on Computer Vision and Pattern Recognition
Bharath Sriperumbudur, Gert Lanckriet (2009)
On the Convergence of the Concave-Convex Procedure
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search YING WEI, Hong Kong University of Science and Technology YANGQIU SONG, University of Illinois at Urbana-Champaign YI ZHEN, Georgia Institute of Technology BO LIU and QIANG YANG, Hong Kong University of Science and Technology Multi-modal similarity search has attracted considerable attention to meet the need of information retrieval across different types of media. To enable efficient multi-modal similarity search in large-scale databases recently, researchers start to study multi-modal hashing. Most of the existing methods are applied to search across multi-views among which explicit correspondence is provided. Given a multi-modal similarity search task, we observe that abundant multi-view data can be found on the Web which can serve as an auxiliary bridge. In this paper, we propose a Heterogeneous Translated Hashing (HTH) method with such auxiliary bridge incorporated not only to improve current multi-view search but also to enable similarity search across heterogeneous media which have no direct correspondence. HTH provides more flexible and discriminative ability by embedding heterogeneous media into different Hamming spaces, compared to almost all existing methods that map heterogeneous data in a common Hamming space. We formulate a joint optimization model to learn hash functions
ACM Transactions on Knowledge Discovery from Data (TKDD) – Association for Computing Machinery
Published: Jul 27, 2016
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