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2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Hashing technique has become a promising approach for fast similarity search. Most of existing hashing research pursue the binary codes for the same type of entities by preserving their similarities. In practice, there are many scenarios involving nearest neighbor search on the data given in matrix form, where two different types of, yet naturally ...
Xianglong Liu 0001 +3 more
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Hashing technique has become a promising approach for fast similarity search. Most of existing hashing research pursue the binary codes for the same type of entities by preserving their similarities. In practice, there are many scenarios involving nearest neighbor search on the data given in matrix form, where two different types of, yet naturally ...
Xianglong Liu 0001 +3 more
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2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search. A common problem shared by many existing hashing methods is that in order to achieve a satisfied performance, a large number of hash tables (i.e., long code-words) are required.
Yue Lin 0003 +4 more
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Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search. A common problem shared by many existing hashing methods is that in order to achieve a satisfied performance, a large number of hash tables (i.e., long code-words) are required.
Yue Lin 0003 +4 more
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Deep Cauchy Hashing for Hamming Space Retrieval
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Due to its computation efficiency and retrieval quality, hashing has been widely applied to approximate nearest neighbor search for large-scale image retrieval, while deep hashing further improves the retrieval quality by end-to-end representation ...
Yue Cao +3 more
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Journal of the American Society for Information Science, 1972
AbstractThis paper generalizes the direct‐chaining technique of hash coding in a manner that is useful for storing records on the basis of non‐unique search keys. Such a capability is of particular interest for library automation and information retrieval. Two hash functions are used instead of one, and to take advantage of the information contained in
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AbstractThis paper generalizes the direct‐chaining technique of hash coding in a manner that is useful for storing records on the basis of non‐unique search keys. Such a capability is of particular interest for library automation and information retrieval. Two hash functions are used instead of one, and to take advantage of the information contained in
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Proceedings of the 1981 ACM SIGMOD international conference on Management of data - SIGMOD '81, 1981
We propose a new algorithm for hashing. Contrary to the usual hashing, ours stores the records in order. Furthermore, the file may be highly dynamic, even may be constituted entirely with insertions. The load factor is typically about 70 %. The search for a record is performed in only one disk access, for files attaining millions of records.
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We propose a new algorithm for hashing. Contrary to the usual hashing, ours stores the records in order. Furthermore, the file may be highly dynamic, even may be constituted entirely with insertions. The load factor is typically about 70 %. The search for a record is performed in only one disk access, for files attaining millions of records.
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Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018Recent vision and learning studies show that learning compact hash codes can facilitate massive data processing with significantly reduced storage and computation. Particularly, learning deep hash functions has greatly improved the retrieval performance,
Fumin Shen +5 more
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More Robust Hashing: Cuckoo Hashing with a Stash
SIAM Journal on Computing, 2008Cuckoo hashing holds great potential as a high-performance hashing scheme for real applications. Up to this point, the greatest drawback of cuckoo hashing appears to be that there is a polynomially small but practically significant probability that a failure occurs during the insertion of an item, requiring an expensive rehashing of all items in the ...
Adam Kirsch +2 more
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Learning to hash: forgiving hash functions and applications
Data Mining and Knowledge Discovery, 2008The problem of efficiently finding similar items in a large corpus of high-dimensional data points arises in many real-world tasks, such as music, image, and video retrieval. Beyond the scaling difficulties that arise with lookups in large data sets, the complexity in these domains is exacerbated by an imprecise definition of similarity. In this paper,
Shumeet Baluja, Michele Covell
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Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing
IEEE Transactions on Knowledge and Data Engineering, 2021Heng Tao Shen +6 more
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2006
In this paper, we explore potential mathematical principles and structures that can provide the foundation for cryptographic hash functions, and also present a simple and efficiently computable hash function based on a non-associative operation with polynomials over a finite field of characteristic 2.
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In this paper, we explore potential mathematical principles and structures that can provide the foundation for cryptographic hash functions, and also present a simple and efficiently computable hash function based on a non-associative operation with polynomials over a finite field of characteristic 2.
openaire +1 more source