Nearest neighbour search
Fast Nearest Neighbour Search with
... The best method to date for nearest neighbour search with keywords is due to Felipe et al. [12]. They nicely integrate two well-known concepts: R-tree [2], a popular spatial index, and signature file ...
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Efficient and Flashing Nearest Neighbour Search with keywords
... real nearest neighbour that lies quite far away from the query location, while all the closer objects missing one or any of the ...the nearest neighbour where each node satisfies all the query ...
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Which fast nearest neighbour search algorithm to use?
... fast Nearest Neighbour search algorithm to use depends on the task we ...kd-tree search algorithm is selected when the similarity function is the Euclidean or the Manhattan ...fast ...
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Active learning via query synthesis and nearest neighbour search
... Cite this article as: Liantao Wang, Xuelei Hu, Bo Yuan, Jianfeng Lu, Active Learning via Query Synthesis and Nearest Neighbour Search, Neurocomputing, http://dx.doi.org/10.1016/j.neucom.2014.06.042 ...
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Fast nearest Neighbour Search with Keywords over Spatial Database
... quick search. The improved search is used for locating the objects supported the users priority ...to search out the precise nearest neighbour based on the geometrician distance for ...
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Fast Algorithms for Nearest Neighbour Search
... kNN search, the trees were augmented with Partial Distance Search ...linear search when NNs are searched inside leaf ...the search is complete, the trees take the square root of the distances ...
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Survey On: Nearest Neighbour Search With Keywords In Spatial Databases
... may search for different type of things from anywhere. But Search results depend on the user entered query which has to satisfy their searched properties that is stored in the spatial ...optimize ...
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Authenticating Location Based Nearest Neighbour Search with Keywords
... to search out the close spatial object with smart services wherever the space to the querying user could be a spatial attribute and therefore the goodness of the ...
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Title: Fastest Nearest Neighbour Search Using Keywords
... Department of Information Technology,Rajiv Gandhi Institute of Technology,Mumbai India [email protected], [email protected], [email protected], [email protected], [email protected] Abstract: We ...
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An Effective Candidate Refinement Approach For High Dimensional Of K-Nearest Neighbour Search
... While computationally quite simple, kNN is notoriously reminiscence in depth on cutting-edge CPUs and heterogeneous computing substrates making it difficult to scale to massive datasets. In kNN, distance calculations are ...
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Quick Nearest Neighbour Track with Keywords
... real nearest neighbour lies quite far away from the query point, while all the closer neighbours are missing at least one of the query ...keyword search in relational ...for nearest ...
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Nearest neighbour models for local and regional avalanche forecasting
... The calculation of elaborate variables makes it easy to de- rive functions which describe avalanche formation more pre- cisely than the raw variables. They allow the user to intro- duce physical knowledge and the ...
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Nearest neighbour models for local and regional avalanche forecasting
... NXD2000 is a very useful tool for local avalanche fore- casters. It provides them with detailed information about the neighbour days. The forecaster can compare his own inves- tigation with the situations shown in ...
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NEAREST NEIGHBOUR EXPANSION USING KEYWORD COVER SEARCH
... the nearest neighbour (NN) and keyword search techniques to tackle a ...the nearest neighbours and for each neighbour an inverted index is using to check if the query keyword is ...
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Introduction to k Nearest Neighbour Classification and Condensed Nearest Neighbour Data Reduction
... Even once we have decided on some way of determining how similar two observations are, we still have the problem of deciding which observations from the database are similar enough to our new observation for us to take ...
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Multi-functional nearest-neighbour classification
... multi-functional nearest-neighbour (MFNN) classification approach, in order to strengthen the efficacy of the existing advanced nearest-neighbour tech- ...selected nearest neigh- bours ...
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2 Unbordered Nearest Neighbour Balanced Designs
... A two dimensional (row-column) design is said to be row neighbour balanced if each treatment has every other treatment as its nearest neighbour in rows an equal number [r] ...
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Improved AURA k-Nearest Neighbour approach
... Conference on Artificial and Natural Neural Networks, IWANN2003 Maó, Menorca, Spain, June 3-6, 2003 Proceedings, Part II: Artifical Neural Nets Problem Solving Methods.. White Rose Rep[r] ...
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A binary neural k-nearest neighbour technique
... Tel: +44 1904 433067 Fax: +44 1904 432767 Abstract. K-Nearest Neighbour (k-NN) is a widely used technique for classifying and clustering data. k-NN is effective but is often criticised for its polynomial ...
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Dimensionality Reduction and Representation for Nearest Neighbour Learning
... ination search selected the largest subsets. This behaviour has also been reported in another study (John, Kohavi, & Peger 1994), and may be due to both searches becoming trapped within local maxima. For example, ...
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