A massively parallel architecture for self-organizing feature maps

M Porrmann, U Witkowski… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
A hardware accelerator for self-organizing feature maps is presented. We have developed a
massively parallel architecture that, on the one hand, allows a resource-efficient …

Spatial assessment of the bioclimatic and environmental factors driving mangrove tree species' distribution along the Brazilian coastline

AC Ximenes, EE Maeda, GFB Arcoverde… - Remote sensing, 2016 - mdpi.com
Brazil has one of the largest mangrove surfaces worldwide. Due to a wide latitudinal
distribution, Brazilian mangroves can be found within a large range of environmental …

[HTML][HTML] Shape mining: A holistic data mining approach for engineering design

L Graening, B Sendhoff - Advanced Engineering Informatics, 2014 - Elsevier
Although the integration of engineering data within the framework of product data
management systems has been successful in the recent years, the holistic analysis (from a …

A framework for generating summaries from temporal personal health data

JJ Harris, CH Chen, MJ Zaki - ACM Transactions on Computing for …, 2021 - dl.acm.org
Although it has become easier for individuals to track their personal health data (eg, heart
rate, step count, and nutrient intake data), there is still a wide chasm between the collection …

Principal component and hierarchical cluster analyses as applied to transformer partial discharge data with particular reference to transformer condition monitoring

T Babnik, RK Aggarwal… - IEEE transactions on power …, 2008 - ieeexplore.ieee.org
This paper analyses partial discharges obtained by remote radiometric measurements from
a power transformer with a known internal defect. Since fingerprints of remote radiometric …

Condition monitoring of 3G cellular networks through competitive neural models

GA Barreto, JCM Mota, LGM Souza… - … on Neural Networks, 2005 - ieeexplore.ieee.org
We develop an unsupervised approach to condition monitoring of cellular networks using
competitive neural algorithms. Training is carried out with state vectors representing the …

Magnification factors for the GTM algorithm

CM Bishop, M Svensén… - … Conference on Artificial …, 1997 - ieeexplore.ieee.org
The generative topographic mapping (GTM) algorithm of CM Bishop et al.(1996) has been
introduced as a principled alternative to the self-organizing map (SOM). As well as avoiding …

Magnification factors for the SOM and GTM algorithms

CM Bishop, M Svens' en… - … 1997 Workshop on Self …, 1997 - research.aston.ac.uk
Magnification factors specify the extent to which the area of a small patch of the latent
(orfeature') space of a topographic mapping is magnified on projection to the data space …

学术论文中方法知识元的类型与描述规则研究

化柏林 - 中国图书馆学报, 2016 - cqvip.com
学术论文中有很多方法知识元的描述, 如何把这些方法知识元抽取出来, 形成结构化的方法知识
库, 是细粒度知识组织的重要研究内容之一. 本文通过对大量的文献进行内容分析 …

Mapping the terrestrial ecoregions of the Purus-Madeira interfluve in the Amazon Forest using machine learning techniques

AC Ximenes, S Amaral, AMV Monteiro… - Forest Ecology and …, 2021 - Elsevier
An ecoregion is a region with similar environmental conditions. However, many ecoregions
represent regional habitat heterogeneity, and areas with little fieldwork information can …