Results 21 to 30 of about 32,569,759 (313)
Fast convergence method for Lloyd-Max quantiser design
Electronics Letters, 1986 In Max quantiser design, a numerical method is usually employed to solve the Lloyd-Max equations. Poor accuracy and slow convergence rate are observed in most of the algorithms used. A fast convergence method is proposed here to generate the Max quantiser with minimum mean-square error.
K.N. Ngan, K.S. Leong
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Joint Estimation of Source Range and Depth Using a Bottom-Deployed Vertical Line Array in Deep Water
Sensors, 2017 This paper presents a joint estimation method of source range and depth using a bottom-deployed vertical line array (VLA). The method utilizes the information on the arrival angle of direct (D) path in space domain and the interference characteristic of ...
Hui Li +3 more
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Edge Detecting New Physics the Voronoi Way [PDF]
, 2015 We point out that interesting features in high energy physics data can be determined from properties of Voronoi tessellations of the relevant phase space.
Debnath, Dipsikha +3 more
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AIP Advances, 2016 In this work, we present an alternative optical method to determine the probe-sample separation distance in a scanning near-field optical microscope. The experimental method is based in a Lloyd’s mirror interferometer and offers a measurement precision ...
L. Santamaria +4 more
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Introduction to vector quantization and its applications for numerics*
ESAIM: Proceedings and Surveys, 2015 We present an introductory survey to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data Mining. Both theoretical results on the quantization rate of a
Pagès Gilles
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New K-means Clustering Method Using Minkowski’s Distance as its Metric
British journal of computer, networking and information technology, 2021 Cluster analysis is an unsupervised learning method that classifies data points, usually multidimensional into groups (called clusters) such that members of one cluster are more similar (in some sense) to each other than those in other clusters.
Eric U.O. +3 more
semanticscholar +1 more source
A simple geometric method for navigating the energy landscape of centroidal Voronoi tessellations [PDF]
SIAM Journal on Scientific Computing, 2020 Finding optimal centroidal Voronoi tessellations (CVTs) of a 2D domain presents a paradigm for navigating an energy landscape whose desirable critical points have sufficiently small basins of attractions that they are inaccessible with Monte-Carlo ...
Ivan Gonzalez +2 more
semanticscholar +1 more source
A practical comparison of two K-Means clustering algorithms
BMC Bioinformatics, 2008 Background Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns.
Huang Xiuzhen, Wilkin Gregory A
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Global wave loads on a damaged ship [PDF]
, 2012 A computational tool was applied based on a two dimensional linear method to predict the hydrodynamic loads for damaged ships. Experimental tests on a ship model have also been carried out to predict the hydrodynamic loads in various design conditions ...
Adegeest LJM. +19 more
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CML: the commonKADS conceptual modelling language [PDF]
, 1994 We present a structured language for the specification of knowledge models according to the CommonKADS methodology. This language is called CML (Conceptual Modelling Language) and provides both a structured textual notation and a diagrammatic notation ...
Akkermans, J.M. +5 more
core +2 more sources