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Nonlinear Asymmetric Multi-Valued Hashing
Cheng DA; Gaofeng MENG; Shiming XIANG; Shibiao XU; Qing YANG; Chunhong PAN
Most existing hashing methods resort to binary codes for large scale similarity search, owing to the high efficiency of
computation and storage. However, binary codes lack enough capability in similarity preservation, resulting in less desirable
performance. To address this issue, we propose Nonlinear Asymmetric Multi-Valued Hashing (NAMVH) supported by two distinct
non-binary embeddings. Specifically, a real-valued embedding is used for representing the newly-coming query by an ideally nonlinear
transformation. Besides, a multi-integer-embedding is employed for compressing the whole database, which is modeled by Binary
Sparse Representation (BSR) with fixed sparsity. With these two non-binary embeddings, NAMVH preserves more precise similarities
between data points and enables access to the incremental extension with database samples evolving dynamically. To perform
meaningful asymmetric similarity computation for efficient semantic search, these embeddings are jointly learnt by preserving the
pairwise label-based similarity. Technically, this results in a mixed integer programming problem, which is efficiently solved by a
well-designed alternative optimization method. Extensive experiments on seven large scale datasets demonstrate that our approach
not only outperforms the existing binary hashing methods in search accuracy, but also retains their query and storage efficiency.
KeywordAsymmetric Hashing Multi-valued Embeddings
Document Type期刊论文
Corresponding AuthorShiming XIANG
Recommended Citation
GB/T 7714
Cheng DA,Gaofeng MENG,Shiming XIANG,et al. Nonlinear Asymmetric Multi-Valued Hashing[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2018(0):0.
APA Cheng DA,Gaofeng MENG,Shiming XIANG,Shibiao XU,Qing YANG,&Chunhong PAN.(2018).Nonlinear Asymmetric Multi-Valued Hashing.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE(0),0.
MLA Cheng DA,et al."Nonlinear Asymmetric Multi-Valued Hashing".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE .0(2018):0.
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