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Reversible cellular automata image encryption for similarity search
Signal processing. Image communication, 2019With the development of cloud computing, people prefer to outsource images to cloud service for saving storage and convenient retrieval. For privacy-preserving purposes, sensitive images, such as medical and personal images, need to be encrypted before ...
Ying Su, Yan Wo, Guoqiang Han
semanticscholar +1 more source
Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Given a (large) set of objects and a query, similarity search aims to find all objects similar to the query. A frequent approach is to define a set of base similarity measures for the different aspects of the objects, and to build light-weight similarity indexes on these measures. To determine the overall similarity of two objects, the results of these
Dustin Lange, Felix Naumann
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Given a (large) set of objects and a query, similarity search aims to find all objects similar to the query. A frequent approach is to define a set of base similarity measures for the different aspects of the objects, and to build light-weight similarity indexes on these measures. To determine the overall similarity of two objects, the results of these
Dustin Lange, Felix Naumann
openaire +1 more source
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets
2019 IEEE International Conference on Big Data (Big Data), 2019Similarity search is a core component in various applications such as image matching and product recommendation. However, single-machine solutions are usually insufficient due to the large cardinality of modern datasets. We present Pyramid, a general and
Shiyuan Deng +4 more
semanticscholar +1 more source
2008
With genome sequencing projects producing huge amounts of sequence data, database sequence similarity search has become a central tool in bioinformatics to identify potentially homologous sequences. It is thus widely used as an initial step for sequence characterization and annotation, phylogeny, genomics, transcriptomics, and proteomics studies ...
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With genome sequencing projects producing huge amounts of sequence data, database sequence similarity search has become a central tool in bioinformatics to identify potentially homologous sequences. It is thus widely used as an initial step for sequence characterization and annotation, phylogeny, genomics, transcriptomics, and proteomics studies ...
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2004
There are many applications for similarity search in time series data of which the following are just a small sample. 1. In finance, a trader may be interested in finding pairs of stocks that move similarly, perhaps with some lag. 2. In music, a person may want to find a song that is similar to one that he can hum. 3.
Dennis Shasha, Yunyue Zhu
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There are many applications for similarity search in time series data of which the following are just a small sample. 1. In finance, a trader may be interested in finding pairs of stocks that move similarly, perhaps with some lag. 2. In music, a person may want to find a song that is similar to one that he can hum. 3.
Dennis Shasha, Yunyue Zhu
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Efficient Algorithms for Similarity Search
Journal of Combinatorial Optimization, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rajasekaran, S. +6 more
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Proceedings of the VLDB Endowment, 2018
Increasingly large data series collections are becoming commonplace across many different domains and applications. A key operation in the analysis of data series collections is similarity search, which has attracted lots of attention and effort over the
Karima Echihabi +3 more
semanticscholar +1 more source
Increasingly large data series collections are becoming commonplace across many different domains and applications. A key operation in the analysis of data series collections is similarity search, which has attracted lots of attention and effort over the
Karima Echihabi +3 more
semanticscholar +1 more source
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search
IEEE Transactions on Neural Networks and Learning Systems, 2019Cross-modal hashing has attracted increasing research attention due to its efficiency for large-scale multimedia retrieval. With simultaneous feature representation and hash function learning, deep cross-modal hashing (DCMH) methods have shown superior ...
Lu Jin +5 more
semanticscholar +1 more source
Similarity Pruning in PrOM Search
2006In this paper we introduce a new pruning mechanism, called Similarity Pruning for Probabilistic Opponent-Model (PrOM) Search. It is based on imposing a bound on the differences between two or more evaluation functions. Assuming such a bound exists, we are able to prove two theoretical properties, viz., the bound-conservation property and the bounded ...
Donkers, H.H.L.M. +2 more
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Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach
Proceedings of the VLDB Endowment, 2018Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections. Despite the fact that data series indexes enable fast similarity search, all existing indexes can only ...
Michele Linardi, Themis Palpanas
semanticscholar +1 more source