Results 121 to 130 of about 325,256 (164)
Some of the next articles are maybe not open access.
Rank hash similarity for fast similarity search
Information Processing & Management, 2013The paper is concerned with similarity search at large scale, which efficiently and effectively finds similar data points for a query data point. An efficient way to accelerate similarity search is to learn hash functions. The existing approaches for learning hash functions aim to obtain low values of Hamming distances for the similar pairs.
Min Lu +3 more
openaire +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 ...
openaire +3 more sources
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 ...
openaire +3 more sources
2013
In this talk we survey how similarity plays an important role in many aspects of Web search, from crawling to indexing and from ranking to query recommendations. This implies similarity of different objects including text of web pages, web links, and web queries.
openaire +1 more source
In this talk we survey how similarity plays an important role in many aspects of Web search, from crawling to indexing and from ranking to query recommendations. This implies similarity of different objects including text of web pages, web links, and web queries.
openaire +1 more source
Similarity search in seismological signals
Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004., 2004Similarity search in time series databases has been the focus of a lot research. It is non-trivial problem due their peculiar structure, high dimensionality (C. Faloutsos et. al, 1994), noise, and high feature correlation; it is also the heart of many data mining applications, like clustering, classification, rule discovery and query by content.
A. Angeles-Yreta +3 more
openaire +1 more source
Scalable similarity search for SimRank
Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 2014SimRank, proposed by Jeh and Widom, provides a good similarity score and has been successfully used in many of the above mentioned applications. While there are many algorithms proposed so far to compute SimRank, but unfortunately, none of them are scalable up to graphs of billions size.
Mitsuru Kusumoto +2 more
openaire +1 more source
A metric cache for similarity search
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval, 2008Similarity search in metric spaces is a general paradigm that can be used in several application elds. It can also be ef- fectively exploited in content-based image retrieval systems, which are shifting their target towards theWeb-scale dimen- sion. In this context, an important issue becomes the design of scalable solutions, which combine parallel and
Lucchese C +4 more
openaire +2 more sources
Distributed trajectory similarity search
Proceedings of the VLDB Endowment, 2017Mobile and sensing devices have already become ubiquitous. They have made tracking moving objects an easy task. As a result, mobile applications like Uber and many IoT projects have generated massive amounts of trajectory data that can no longer be processed by a single machine efficiently.
Dong Xie 0001 +2 more
openaire +1 more source
Searching for Self-Similarity in GPRS
2004Based on measurements in live GPRS networks, the degree of self-similarity for the aggregated WAP and WEB traffic is investigated by utilizing six well established Hurst parameter estimators. We show that in particular WAP traffic is long-range dependent and its scaling for time scales below the average page duration is not second order self similar ...
Roger Kalden, Sami Ibrahim
openaire +1 more source
A SIMILARITY METRIC IN IMAGE SEARCHING
International Journal of Image and Graphics, 2007Similarity metric is a key component in query-by-example image searching with visual features. After extraction of image visual features, the scheme of computing their similarities can affect the system performance dramatically — the image searching results are normally displayed in decreasing order of similarity (alternatively, increasing order of ...
Xuelong Li 0001 +3 more
openaire +1 more source
Similarity Search in Trajectory Databases
14th International Symposium on Temporal Representation and Reasoning (TIME'07), 2007Trajectory database (TD) management is a relatively new topic of database research, which has emerged due to the explosion of mobile devices and positioning technologies. Trajectory similarity search forms an important class of queries in TD with applications in trajectory data analysis and spatiotemporal knowledge discovery.
Nikos Pelekis +5 more
openaire +1 more source