首页>外文会议>计算机、自动化>2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization

2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization

召开年：
召开地：
出版时间：-

会议文集：-

会议论文

热门论文

全部论文

最新会议

更多>>

全选（0）

1.Empirical evaluation of gradient methods for matrix learning vector quantization

机译：用于矩阵学习矢量量化的梯度方法的经验评估
- 作者：Michael LeKander;Michael Biehl;Harm de Vries
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Cost function;
- Training;
- Machine learning algorithms;
- Vector quantization;
- Euclidean distance;
2.Adaptive basis functions for prototype-based classification of functional data

机译：自适应基础函数，用于基于原型的功能数据分类
- 作者：Gabriele Bani;Udo Seiffert;Michael Biehl;Friedrich Melchert
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Training;
- Time series analysis;
- Chebyshev approximation;
- Optimization;
- Vector quantization;
- Benchmark testing;
3.An evolutionary building algorithm for Deep Neural Networks

机译：深度神经网络的进化构建算法
- 作者：Ryad Zemouri
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Biological neural networks;
- Neurons;
- Training;
- Buildings;
- Algorithm design and analysis;
- Machine learning;
- Computer architecture;
4.Applying the significance degree by SOM to image analysis of fundus using the filter bank

机译：将SOM的显着程度应用于使用滤镜库的眼底图像分析
- 作者：Nobuo Matsuda;Heizo Tokutaka;Hideaki Sato;Fumiaki Tajima;Reiji Kawata
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Filter banks;
- Image color analysis;
- Image analysis;
- Sensitivity;
- Entropy;
- Filtering algorithms;
5.Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities

机译：数据依赖的近似矢量原型量化器中关于差异性的差异性评估
- 作者：M. Kaden;D. Nebel;F. Melchert;A. Backhaus;U. Seiffert;T. Villmann
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Sugar;
- Topology;
- Euclidean distance;
- Data visualization;
- Extraterrestrial measurements;
- Data analysis;
6.Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs

机译：使用内核SOM检测三相换流式感应电动机中的短路故障
- 作者：David N. Coelho;Guilherme A. Barreto;Cláudio M. S. Medeiros
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Kernel;
- Neurons;
- Circuit faults;
- Induction motors;
- Labeling;
- Stator windings;
7.Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning

机译：深度学习架构，多层前馈网络和用于深度分类学习的学习矢量量化器的融合
- 作者：T. Villmann;M. Biehl;A. Villmann;S. Saralajew
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Computer architecture;
- Prototypes;
- Training;
- Feedforward neural networks;
- Nonhomogeneous media;
- Entropy;
- Kernel;
8.Imputation of reactive silica and available alumina in bauxites by self-organizing maps

机译：通过自组织映射法估算铝土矿中反应性二氧化硅和有效氧化铝
- 作者：Cleyton de Carvalho Carneiro;Dayana Niazabeth Del Valle Silva Yanez;Carina Ulsen;Stephen J. Fraser;Juliana Lívi Antoniassi;Simone P. A. Paz;Rômulo Simões Angélica;Henrique Kahn
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Databases;
- Correlation;
- Self-organizing feature maps;
- Minerals;
- Aluminum oxide;
- Tools;
9.Motivated self-organization

机译：积极的自我组织
- 作者：Nicolas P. Rougier;Yann Boniface
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Elasticity;
- Neurons;
- Modulation;
- Heuristic algorithms;
- Probability density function;
- Self-organizing feature maps;
- Distortion;
10.Multidimensional urban segregation: An exploratory case study

机译：多维城市隔离：探索性案例研究
- 作者：Marie Cottrell;Madalina Olteanu;Julien Randon-Furling;Aurelien Hazan
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Iris recognition;
- Urban areas;
- Education;
- Sociology;
- Self-organizing feature maps;
- Standards;
- Correlation;
11.Pairwise elastic self-organizing maps

机译：成对弹性自组织图
- 作者：Pitoyo Hartono;Yuto Take
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Data visualization;
- Stress;
- Self-organizing feature maps;
- Topology;
- Force;
- Automobiles;
- Benchmark testing;
12.Rademacher complexity of margin multi-category classifiers

机译：余量多类别分类器的Rademacher复杂度
- 作者：Yann Guermeur
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Complexity theory;
- Upper bound;
- Current measurement;
- Hypercubes;
- Loss measurement;
- Standards;
- Extraterrestrial measurements;
13.Self-organizing map for orienteering problem with dubins vehicle

机译：杜宾斯汽车定向运动问题的自组织图
- 作者：Jan Faigl
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Joining processes;
- Optimization;
- Data collection;
- Neurons;
- Traveling salesman problems;
- Unmanned aerial vehicles;
- Unsupervised learning;
14.Self-organizing maps with supervised layer

机译：具有监督层的自组织地图
- 作者：Ludovic Platon;Farida Zehraoui;Fariza Tahi
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Neurons;
- Data visualization;
- Prototypes;
- Reliability;
- Training;
- Self-organizing feature maps;
- Organizations;
15.SOM-empowered graph segmentation for fast automatic clustering of large and complex data

机译：支持SOM的图分割可用于大型和复杂数据的快速自动聚类
- 作者：Erzsébet Merényi;Joshua Taylor
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Lattices;
- Couplings;
- Clustering algorithms;
- Data visualization;
- Image segmentation;
- Manifolds;
16.Spectral regularization in generalized matrix learning vector quantization

机译：广义矩阵学习矢量量化中的谱正则化
- 作者：David Nova;Pablo A. Estévez
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Measurement;
- Prototypes;
- Eigenvalues and eigenfunctions;
- Vector quantization;
- Training;
- Cost function;
- Astrophysics;
17.Using self-organizing maps for clustering anc labelling aircraft engine data phases

机译：使用自组织图对飞机发动机数据阶段的AN标签进行聚类
- 作者：Cynthia Faure;Madalina Olteanu;Jean-Marc Bardet;Jérôme Lacaille
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Transient analysis;
- Aircraft propulsion;
- Databases;
- Partitioning algorithms;
- Aircraft;
- Time series analysis;
- Engines;
18.Using spatial characteristics to aid automation of SOM segmentation of functional image data

机译：利用空间特征来辅助功能图像数据的SOM分割自动化
- 作者：Patrick ODriscoll;Erzsébet Merényi;Robert Grossman
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Resource description framework;
- Extraterrestrial measurements;
- Brain;
- Spatial databases;
- Image segmentation;
- Hyperspectral imaging;
19.A strategy for time series prediction using Segment Growing Neural Gas

机译：使用分段增长神经气体的时间序列预测策略
- 作者：Jorge R. Vergara;Pablo A. Estévez
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Time series analysis;
- Quantization (signal);
- Predictive models;
- Trajectory;
- Delays;
- Prediction algorithms;
20.An energy-based SOM model not requiring periodic boundary conditions

机译：基于能量的SOM模型，不需要周期性边界条件
- 作者：Alexander Gepperth
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Boundary conditions;
- Convolution;
- Prototypes;
- Quantization (signal);
- Training;
- Computational modeling;
- Minimization;
21.Application of self organizing map to identify nocturnal epileptic seizures

机译：自组织图在夜间癫痫发作识别中的应用
- 作者：Barbara Pisano;Alessandra Fanni;César Alexandre Teixeira;António Dourado
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Electroencephalography;
- Principal component analysis;
- Feature extraction;
- Epilepsy;
- Sleep;
- Training;
- Neurons;
22.Credible visualizations for planar projections

机译：可靠的可视化平面投影
- 作者：Alfred Ultsch;Michael C. Thrun
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Data visualization;
- Image color analysis;
- Focusing;
- Europe;
- Neurons;
- Prototypes;
- Transmission line matrix methods;
23.Fault tolerance of self organizing maps

机译：自组织图的容错能力
- 作者：Cesar Torres-Huitzil;Oleksandr Popovych;Bernard Girau
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Neurons;
- Fault tolerance;
- Fault tolerant systems;
- Circuit faults;
- Biological neural networks;
- Self-organizing feature maps;
- Computational modeling;
24.Improving individual predictions using social networks assortativity

机译：利用社交网络的分类性改善个人预测
- 作者：Dounia Mulders;Cyril de Bodt;Johannes Bjelland;Alex Sandy Pentland;Michel Verleysen;Yves-Alexandre de Montjoye
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Mobile handsets;
- Graphical models;
- Tuning;
- Probabilistic logic;
- Twitter;
- Predictive models;
25.Incremental learning with self-organizing maps

机译：具有自组织图的增量学习
- 作者：Alexander Gepperth;Cem Karaoguz
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Training;
- Complexity theory;
- Linear regression;
- Self-organizing feature maps;
- Adaptation models;
- Data models;
26.Metaheuristic optimization for automatic clustering of customer-oriented supply chain data

机译：面向客户的供应链数据自动聚类的元启发式优化
- 作者：Cesar L. C. Mattos;Guilherme A. Barreto;Dennis Horstkemper;Bernd Hellingrath
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Clustering algorithms;
- Indexes;
- Optimization;
- Partitioning algorithms;
- Linear programming;
- Genetic algorithms;
- Supply chains;
27.Prototypes and matrix relevance learning in complex fourier space

机译：复杂傅立叶空间中的原型与矩阵相关性学习
- 作者：M. Straat;M. Kaden;M. Gay;T. Villmann;A. Lampe;U. Seiffert;M. Biehl;F. Melchert
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Time-domain analysis;
- Discrete Fourier transforms;
- Time series analysis;
- Training;
- Calculus;
- Frequency-domain analysis;
28.Nonlinear dynamic identification using supervised neural gas algorithm

机译：基于监督神经气体算法的非线性动态辨识
- 作者：Iván Machón-González;Hilario López-García
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Neurons;
- Transfer functions;
- Heuristic algorithms;
- Training;
- Prototypes;
- Modeling;
- Approximation algorithms;
29.Probabilistic extension and reject options for pairwise LVQ

机译：成对LVQ的概率扩展和拒绝选项
- 作者：Johannes Brinkrolf;Barbara Hammer
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Probabilistic logic;
- Measurement;
- Prototypes;
- Data models;
- Training;
- Standards;
- Cost function;
30.Relational and median variants of Possibilistic Fuzzy C-Means

机译：可能模糊C均值的关系和中位数变体
- 作者：Tina Geweniger;Thomas Villmann
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Probabilistic logic;
- Cost function;
- Clustering algorithms;
- Phase change materials;
- Euclidean distance;
- Electronic mail;
31.Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis

机译：自组织图作为复发-缓解型多发性硬化症磁共振成像（MRI）分割的工具
- 作者：Paulo Afonso Mei;Cleyton de Carvalho Carneiro;Michelle Chaves Kuroda;Stephen J. Fraser;Li Li Min;Fabiano Reis
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Lesions;
- Magnetic resonance imaging;
- Training;
- Image segmentation;
- Neurons;
- Diseases;
- Self-organizing feature maps;
32.Small sets of random Fourier features by kernelized Matrix LVQ

机译：核化矩阵LVQ的少量随机傅里叶特征集
- 作者：Frank-M. Schleif
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Kernel;
- Prototypes;
- Euclidean distance;
- Complexity theory;
- Training;
- Standards;
- Cost function;
33.Stochastic self-organizing map variants with the R package SOMbrero

机译：带有R包SOMbrero的随机自组织图变体
- 作者：Nathalie Villa-Vialaneix
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Prototypes;
- Standards;
- Clustering algorithms;
- Training;
- Graphics;
- Documentation;
- Software;
34.Using SOMbrero to examine the economic convergence of European countries from 2001–2013

机译：使用SOMbrero检验2001-2013年欧洲国家的经济趋同
- 作者：Joel I. Deichmann;Abdolreza Eshghi;Dominique Haughton;Mingfei Li
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Europe;
- Convergence;
- Economics;
- Sociology;
- Statistics;
- Self-organizing feature maps;
- Data visualization;
35.Visualizing data sets on the Grassmannian using self-organizing mappings

机译：使用自组织映射可视化Grassmannian上的数据集
- 作者：Michael Kirby;Chris Peterson
- 会议名称：《2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization》 | 2017年
- Data visualization;
- Indexes;
- Measurement;
- Standards;
- Manifolds;
- Mathematics;
- Pattern recognition;