Co-Regularized Hashing for Multimodal Data
暂无分享,去创建一个
Yi Zhen | Dit-Yan Yeung | D. Yeung | Yi Zhen
[1] Shuicheng Yan,et al. Weakly-supervised hashing in kernel space , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Trevor Darrell,et al. Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing) , 2006 .
[3] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
[4] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[5] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[6] Trevor Darrell,et al. Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[7] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2004 .
[8] Fei Wang,et al. Composite hashing with multiple information sources , 2011, SIGIR.
[9] Nikos Paragios,et al. Data fusion through cross-modality metric learning using similarity-sensitive hashing , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[10] Alexandr Andoni,et al. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).
[11] Trevor Darrell,et al. Learning to Hash with Binary Reconstructive Embeddings , 2009, NIPS.
[12] Alan L. Yuille,et al. The Concave-Convex Procedure (CCCP) , 2001, NIPS.
[13] Bernhard Schölkopf,et al. A Generalized Representer Theorem , 2001, COLT/EuroCOLT.
[14] Antonio Torralba,et al. Small codes and large image databases for recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] David J. Fleet,et al. Minimal Loss Hashing for Compact Binary Codes , 2011, ICML.
[16] Christoph H. Lampert,et al. Learning Multi-View Neighborhood Preserving Projections , 2011, ICML.
[17] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[18] Jay Yagnik,et al. SPEC hashing: Similarity preserving algorithm for entropy-based coding , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..
[20] Wei Liu,et al. Scalable similarity search with optimized kernel hashing , 2010, KDD.
[21] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[22] Wei Liu,et al. Hashing with Graphs , 2011, ICML.
[23] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[24] Svetlana Lazebnik,et al. Locality-sensitive binary codes from shift-invariant kernels , 2009, NIPS.
[25] Shih-Fu Chang,et al. Semi-supervised hashing for scalable image retrieval , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[27] Zi Huang,et al. Multiple feature hashing for real-time large scale near-duplicate video retrieval , 2011, ACM Multimedia.
[28] Kristen Grauman,et al. Kernelized locality-sensitive hashing for scalable image search , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[30] Raghavendra Udupa,et al. Learning Hash Functions for Cross-View Similarity Search , 2011, IJCAI.