Articles with "nearest neighbor" as a keyword



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Accelerating exact nearest neighbor search in high dimensional Euclidean space via block vectors

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Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22692

Abstract: The nearest neighbor search is an essential operation for many computer vision, data mining, and machine learning problems. Since it is so widely used, the nearest neighbor search should be as fast as possible. This… read more here.

Keywords: neighbor search; lower bound; nearest neighbor; exact nearest ... See more keywords
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Prediction of nearest neighbor effects on backbone torsion angles and NMR scalar coupling constants in disordered proteins

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Published in 2018 at "Protein Science"

DOI: 10.1002/pro.3292

Abstract: Using fine‐tuned hydrogen bonding criteria, a library of coiled peptide fragments has been generated from a large set of high‐resolution protein X‐ray structures. This library is shown to be an improved representation of ϕ/ψ torsion… read more here.

Keywords: nearest neighbor; coupling constants; disordered proteins; torsion angles ... See more keywords
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An Ab Initio Study of Carbon-Induced Ordering in Austenitic Fe–Mn–Al–C Alloys

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Published in 2017 at "Steel Research International"

DOI: 10.1002/srin.201600292

Abstract: Short-range ordering around carbon interstitials in face-centered cubic (fcc) Fe–Mn–Al is studied by density-functional theory, considering the configuration of Fe, Mn, Al atoms in the first three coordination spheres of a carbon atom in an… read more here.

Keywords: nearest neighbor; ordering austenitic; carbon; initio study ... See more keywords
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Robust Earthquake Cluster Analysis Based on K-Nearest Neighbor Search

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Published in 2020 at "Pure and Applied Geophysics"

DOI: 10.1007/s00024-020-02618-6

Abstract: Grouping of earthquakes into distinct clusters is applied to improve mechanism identification and pattern recognition for active seismicity in a region. One of the important issues concerning earthquake data clustering is determining the optimum number… read more here.

Keywords: nearest neighbor; cluster analysis; method; based nearest ... See more keywords
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Selecting promising classes from generated data for an efficient multi-class nearest neighbor classification

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Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2176-0

Abstract: The nearest neighbor rule is one of the most considered algorithms for supervised learning because of its simplicity and fair performance in most cases. However, this technique has a number of disadvantages, being the low… read more here.

Keywords: multi class; nearest neighbor; promising classes; classification ... See more keywords
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A new globally adaptive k-nearest neighbor classifier based on local mean optimization

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Published in 2021 at "Soft Computing"

DOI: 10.1007/s00500-020-05311-x

Abstract: The k -nearest neighbor (KNN) rule is a simple and effective nonparametric classification algorithm in pattern classification. However, it suffers from several problems such as sensitivity to outliers and inaccurate classification decision rule. Thus, a… read more here.

Keywords: classification; classifier; nearest neighbor; local mean ... See more keywords
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Optimization of K-nearest neighbor using particle swarm optimization for face recognition

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3624-9

Abstract: AbstractFace biometric has received more attention to recognize a person in a right way. However, the face recognition is considered to be hard due to size, ethnicity, illumination, pose, various expression, and age. In this… read more here.

Keywords: nearest neighbor; pso; recognition; optimization ... See more keywords
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A scalable solution to the nearest neighbor search problem through local-search methods on neighbor graphs

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Published in 2021 at "Pattern Analysis and Applications"

DOI: 10.1007/s10044-020-00946-w

Abstract: Nearest neighbor search is a powerful abstraction for data access; however, data indexing is troublesome even for approximate indexes. For intrinsically high-dimensional data, high-quality fast searches demand either indexes with impractically large memory usage or… read more here.

Keywords: neighbor search; nearest neighbor; search; problem ... See more keywords
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A comparative study of hash based approximate nearest neighbor learning and its application in image retrieval

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Published in 2017 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-017-9591-1

Abstract: Plenty of data are available due to the growth of digital technology that creates a high expectation in retrieving the relevant images, accurately and efficiently for a given query image. For searching the relevant images… read more here.

Keywords: nearest neighbor; hash; image; image retrieval ... See more keywords

Continuous k nearest neighbor queries over large multi-attribute trajectories: a systematic approach

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Published in 2018 at "GeoInformatica"

DOI: 10.1007/s10707-018-0326-5

Abstract: We study multi-attribute trajectories by combining standard trajectories (i.e., a sequence of timestamped locations) and descriptive attributes. A new form of continuous k nearest neighbor queries is proposed by integrating attributes into the evaluation. To… read more here.

Keywords: index; nearest neighbor; neighbor queries; continuous nearest ... See more keywords
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Quantum Correlation in the XY Spin Model with Anisotropic Three-Site Interaction

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Published in 2018 at "International Journal of Theoretical Physics"

DOI: 10.1007/s10773-018-3772-9

Abstract: We investigate pairwise entanglement and quantum discord (QD) in the XY spin model with anisotropic three-site interaction at zero and finite temperatures. For both the nearest-neighbor spins and the next nearest-neighbor spins, special attention is… read more here.

Keywords: nearest neighbor; neighbor spins; anisotropic three; site interaction ... See more keywords