Discriminative coupled dictionary hashing for fast cross-media retrieval
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Summary
The experiments show that the DCDH and MV-DCDH outperform the state-of-the-art methods significantly on cross-media retrieval and conjecture that a balanced representation is crucial in cross- media retrieval.
- Type
- article
- Published
- 2014-07-03
- Cited by
- 150
- References
- 34
- OpenAlex
- https://openalex.org/W1996219872
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15305787
Keywords
Hamming space, Computer science, Hash function, Discriminative model, Locality-sensitive hashing
References
- An analysis of approximations for maximizing submodular set functions—I
- Self-taught hashing for fast similarity search
- Data fusion through cross-modality metric learning using similarity-sensitive hashing
- Submodular dictionary learning for sparse coding
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- Semantic hashing using tags and topic modeling
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- Sparse Multi-Modal Hashing
- Comparing apples to oranges: a scalable solution with heterogeneous hashing
- Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
- A low rank structural large margin method for cross-modal ranking
- Semi-supervised hashing for scalable image retrieval
- A probabilistic model for multimodal hash function learning
- Multiple feature hashing for real-time large scale near-duplicate video retrieval
- Iterative quantization: A procrustean approach to learning binary codes
- A new approach to cross-modal multimedia retrieval
- Mining Semantic Correlation of Heterogeneous Multimedia Data for Cross-Media Retrieval
- Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
- Robust Face Recognition via Sparse Representation
- Regression Shrinkage and Selection via the Lasso
Cited by
- Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing
- Kernelized sparse hashing for scalable image retrieval
- Compositional Correlation Quantization for Large-Scale Multimodal Search
- Semantics-preserving hashing for cross-view retrieval
- Transitive Transfer Learning
- Cross-Media Hashing with Neural Networks
- Semantic Boosting Cross-Modal Hashing for efficient multimedia retrieval
- Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
- SIMIR: New mean SIFT color multi-clustering image retrieval
- Multiple kernel visual-auditory representation learning for retrieval
- A deep semantic framework for multimodal representation learning
- A Mixed Generative-Discriminative Based Hashing Method
- Accelerated Manhattan hashing via bit-remapping with location information
- Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation
- Cross-Modal Retrieval With CNN Visual Features: A New Baseline
- Self-Paced Cross-Modal Subspace Matching
- Composite Correlation Quantization for Efficient Multimodal Retrieval
- Cross-Modal Retrieval via Deep and Bidirectional Representation Learning
- Supervised Matrix Factorization Hashing for Cross-Modal Retrieval
- Deep Visual-Semantic Hashing for Cross-Modal Retrieval
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