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Nearest Neighbor Search

Fast Nearest Neighbor Search With Keywords

Fast Nearest Neighbor Search With Keywords

... keyword-augmented nearest neighbor search in time that is at the order of dozens of ...commercial search engine that applies massive parallelism, implying its immediate industrial ...

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Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA
                 

Presentation of a Parallel Algorithm for Nearest Neighbor Search on GPU Using CUDA  

... Parallelism Nearest Neighbor Search Algorithm The aim is reducing runtime for nearest neighbor search algorithm using the technology of ...the nearest neighbor ...

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Fast Nearest Neighbor Search with Keywords Using IR2-Tree

Fast Nearest Neighbor Search with Keywords Using IR2-Tree

... usual search engine indexing algorithms. A goal of a search engine presentation is optimize the speed of the ...1.1.2 Nearest neighbor search (NNS) ...

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Nearest Neighbor Search with Keywords Using Spatial Inverted Index

Nearest Neighbor Search with Keywords Using Spatial Inverted Index

... the nearest objects closest to a specified location that contains a ...keywords. Nearest neighbor queries that aims to find objects both a spatial predicate and predicate on their associated ...a ...

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A Deterministic K means Algorithm based on Nearest Neighbor Search

A Deterministic K means Algorithm based on Nearest Neighbor Search

... In data mining, the k-means algorithm is among the most commonly and widely used method for solving clustering problems because of its simplicity and performance. However, one of the main drawback of this algorithm is ...

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Nearest Neighbor Search with Anytime  Clustering Method

Nearest Neighbor Search with Anytime Clustering Method

... the nearest neighbor or distance is obtained over these ...the nearest neighbor search and cannot give the exact value of ...k nearest neighbors, the feature data is visited in ...

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Retrieving Datasets with Nearest Neighbor Search using Spatial Queries

Retrieving Datasets with Nearest Neighbor Search using Spatial Queries

... Web Search Mechanism (AWSM) is established in order to improve the quality of various search services on the ...web search. We study privacy protection in web search applications that mainly ...

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Nearest Neighbor Search with Keywords in Spatial
Databases

Nearest Neighbor Search with Keywords in Spatial Databases

... the nearest gas station". The R-tree can also accelerate nearest neighbor search for various distance metrics, including great-circle ...

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k-Expected Nearest Neighbor Search over Gaussian Objects

k-Expected Nearest Neighbor Search over Gaussian Objects

... k-expected nearest neighbor search over objects represented by Gaussian ...we search D for top k objects having smallest distances with ...of nearest users for ...

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Survey of Efficient and Fast Nearest Neighbor Search  For Spatial Query on Multidimensional Data

Survey of Efficient and Fast Nearest Neighbor Search For Spatial Query on Multidimensional Data

... keyword search with reverse nearest neighbor query, hybrid indexing structure bR*-tree, efficient method to answer top-k spatial keyword query, computing the relevance between the documents of an ...

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Analysis on Fast Nearest Neighbor Search with Keywords

Analysis on Fast Nearest Neighbor Search with Keywords

... In the paper ‘fast nearest neighbor search with keywords’, there are methods like spatial index, inverted index, nearest neighbor search. The first method spatial index is used ...

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FAST NEAREST NEIGHBOR SEARCH WITH KEYWORDS

FAST NEAREST NEIGHBOR SEARCH WITH KEYWORDS

... a search engine that is able to efficiently support novel forms of spatial queries that are integrated with keyword ...keyword-augmented nearest neighbor search in time that is at the order of ...

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Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

... This paper presents a new method for Bilingual Lexicon Induction (BLI), which we call Hub- less Nearest Neighbor (HNN). BLI is the task of creating a lexicon of translation equivalents such as, bank:banc or ...

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Secure K-Nearest Neighbor Search By Keywords

Secure K-Nearest Neighbor Search By Keywords

... We concentrate on taking care of the characterization issue over encoded information. Specifically, we propose a safe k-NN classifier over scrambled information in the cloud. The proposed convention ensures the ...

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Title: A Practical Approach to Faster Spatial Queries with Keywords

Title: A Practical Approach to Faster Spatial Queries with Keywords

... We planned a new method for professional neighboring state look for in a set of high-dimensional point. Our method is based on the precipitation of the solution freedom of any chance „nearest neighbor ...

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Keyword Search for Quick Finding of Nearest Neighbor

Keyword Search for Quick Finding of Nearest Neighbor

... the nearest objects closest to a specified location that contains ...keyword search would instead searches the keywords and shows the nearest hotels that having those ...In nearest ...

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SWIFT WARM ACQUAINTANCE EXPLORATION WITH KEYWORDS

SWIFT WARM ACQUAINTANCE EXPLORATION WITH KEYWORDS

... of nearest neighbor search falls in the fashionable topic of spatial keyword search, which has also given upward push to numerous opportunity ...totally nearest neighbor queries ...

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Quick Search of the Nearest Neighbor with Words

Quick Search of the Nearest Neighbor with Words

... a search engine that is able to efficiently support novel forms of spatial queries that are integrated with keyword ...keyword-augmented nearest neighbor search in time that is at the order of ...

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An Initialization Method for the K means Algorithm using RNN and Coupling Degree

An Initialization Method for the K means Algorithm using RNN and Coupling Degree

... reverse nearest neighbor (RNN) search and coupling ...Reverse nearest neighbor search retrieves all points in a given data set whose nearest neighbor is a given ...

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Kunath, Peter
  

(2006):


	Efficient Analysis in Multimedia Databases.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

Kunath, Peter (2006): Efficient Analysis in Multimedia Databases. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... k- nearest neighbor search can be categorized into two classes, the hypersphere- approaches and the ...its nearest neighbor distance and, thus, actually store hyperspheres rather than ...

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