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IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition

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1.A Reinforcement Learning Algorithm to Train a Tetris Playing Agent

机译：一种培训四方球员的加强学习算法
- 作者：Patrick Thiam;Viktor Kessler;Friedhelm Schwenker
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
2.Prediction of Insertion-Site Preferences of Transposons Using Support Vector Machines and Artificial Neural Networks

机译：使用支持向量机和人工神经网络预测转座子的插入现场偏好
- 作者：Maryam Ayat;Michael Domaratzki
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
3.Majority-Class Aware Support Vector Domain Oversampling for Imbalanced Classification Problems

机译：多数级别的感知支持矢量域过度采样，用于不平衡分类问题
- 作者：Markus Kachele;Patrick Thiam;Gunther Palm;Friedhelm Schwenker
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Imbalanced classification;
- One-class SVM;
- Kernel methods;
4.A Decorrelation Approach for Pruning of Multilayer Perceptron Networks

机译：多层Perceptron网络修剪的去相关方法
- 作者：Hazem M. Abbas
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Neural Networks;
- Backpropagation Learning;
- Optimal Network Architecture;
- Pruning Algorithms;
- Statistical Learning;
5.Automatic Bridge Crack Detection - A Texture Analysis-Based Approach

机译：自动桥接裂纹检测 - 基于纹理分析的方法
- 作者：Sukalpa Chanda;Guoping Bu;Hong Guan;Jun Jo;Umapada Pal;Yew-Chaye Loo;Michael Blumenstein
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Crack Detection;
- Wavelet-based Crack Detection;
- Automatic Bridge Inspection;
- SVMs;
6.Large Margin Distribution Learning

机译：大边缘分布学习
- 作者：Zhi-Hua Zhou
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
7.Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis

机译：分析使用异化分析的动态集合选择技术
- 作者：Rafael M. O. Cruz;Robert Sabourin;George D. C. Cavalcanti
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Ensemble of classifiers;
- Dynamic ensemble selection;
- Dissimilarity analysis;
- Meta-learning;
8.Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion

机译：基于多级特征融合的歧视词典的人脸识别
- 作者：Hongjun Li;Nicola Nobile;Ching Y. Suen
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Face recognition;
- Sparse representation;
- Discriminative;
- NSCT;
9.A Time Series Classification Approach for Motion Analysis Using Ensembles in Ubiquitous Healthcare Systems

机译：普遍存在医疗系统中使用集合的运动分析时间序列分类方法
- 作者：Rana Salaheldin;Mohamed ElHelw;Neamat El Gayar
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Human motion analysis;
- Time series classification;
- Multiple classifier systems;
10.Linear Contrast Classifiers in High-Dimensional Spaces

机译：高维空间中的线性对比分类器
- 作者：Florian Schmid;Ludwig Lausser;Hans A. Kestler
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
11.Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study

机译：智能集合系统用于建模NASDAQ微观结构：比较研究
- 作者：Salim Lahmiri
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Neural networks;
- Ensemble;
- Stock market microstructure;
- Forecasting;
12.Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams

机译：基于更改数据流的自适应分类器合奏的动态加权融合
- 作者：Christophe Pagano;Eric Granger;Robert Sabourin;Gian Luca Marcialis;Fabio Roli
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Pattern Classification;
- Multi-Classifier Systems;
- Adaptive Systems;
- Dynamic Weighting;
- Score-Level Fusion;
- Change Detection;
13.Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data

机译：用于估计时间序列缺失数据的前向和向后预测集合
- 作者：Tawfik A. Moahmed;Neamat El Gayar;Amir F. Atiya
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Time series prediction;
- Missing data;
- Ensemble prediction;
14.Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input

机译：生物启发从基于事件的神经形态传感器输入的光学流量
- 作者：Stephan Tschechne;Roman Sailer;Heiko Neumann
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Event-Vision;
- Optic Flow;
- Neural Model;
- Classification;
15.Part-Based High Accuracy Recognition of Serial Numbers in Bank Notes

机译：基于部分的高精度识别钞票中的序列号
- 作者：Bo-Yuan Feng;Mingwu Ren;Xu-Yao Zhang;Ching Y. Suen
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- RMB seiral number;
- Part-based;
- Character recognition;
- Classifier outputs combination;
16.Low-Dimensional Data Representation in Data Analysis

机译：数据分析中的低维数据表示
- 作者：Alexander Bernstein;Alexander Kuleshov
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
17.Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation

机译：结合双层图匹配和光束搜索图表编辑距离近似
- 作者：Kaspar Riesen;Andreas Fischer;Horst Bunke
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
18.A New Multi-class Fuzzy Support Vector Machine Algorithm

机译：一种新的多级模糊支持向量机算法
- 作者：Friedhelm Schwenker;Markus Frey;Michael Glodek;Markus Kachele;Sascha Meudt;Martin Schels;Miriam Schmidt
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
19.Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images

机译：低分辨率图像白细胞差分计数特征选择的比较研究
- 作者：Mehdi Habibzadeh;Adam Krzyzak;Thomas Fevens
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
20.Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling

机译：基于广义Dirichlet混合物的隐马尔可夫模型进行比例数据建模
- 作者：Elise Epaillard;Nizar Bouguila
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Hidden Markov models;
- Generalized Dirichlet;
- Mixtures;
- Machine learning;
- EM-algorithm;
21.Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs

机译：通过块加法和块删除使用最小二乘SVRS的增量特征选择
- 作者：Shigeo Abe
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
22.Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time

机译：计算图表的上下边界编辑立方时间中的距离
- 作者：Kaspar Riesen;Andreas Fischer;Horst Bunke
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
23.Unsupervised Active Learning of CRF Model for Cross-Lingual Named Entity Recognition

机译：CRF模型的无监督积极学习，用于交叉语言名称实体识别
- 作者：Mohamed Farouk Abdel Hady;Abubakrelsedik Karali;Eslam Kamal;Rania Ibrahim
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
24.End-Shape Recognition for Arabic Handwritten Text Segmentation

机译：阿拉伯语手写文本分割的终端形状识别
- 作者：Amani T. Jamal;Nicola Nobile;Ching Y. Suen
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Component;
- Arabic Handwritten Documents;
- Segmentation;
- End-Shape recognition;
25.Investigating of Preprocessing Techniques and Novel Features in Recognition of Handwritten Arabic Characters

机译：调查手写阿拉伯语特征的预处理技术和新功能
- 作者：Ahmed T. Sahlol;Ching Y. Suen;Mohammed R. Elbasyoni;Abdelhay A. Sallam
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2014年
- Arabic OCR;
- Noise removal;
- Secondaries;
26.A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)

机译：用于电池术的个性化建模的尖峰神经网络（鸡蛋）
- 作者：Vivienne Breen;Nikola Kasabov;Peng Du;Stefan Calder
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Spiking neural network;
- Personalised modelling;
- Electrogastrography;
- Functional dyspepsia;
- Slow wave dysrhythmia;
27.On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification

机译：关于最佳路径森林分类的张于卷的表征评价
- 作者：Ricardo Lopes;Kelton Costa;Joao Papa
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Optimum-Path Forest;
- Tensors;
- Gait and face recognition;
28.Comparing Incremental Learning Strategies for Convolutional Neural Networks

机译：比较卷积神经网络的增量学习策略
- 作者：Vincenzo Lomonaco;Davide Maltoni
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Deep learning;
- Incremental learning;
- Convolutional neural networks;
29.Approximation of Graph Edit Distance by Means of a Utility Matrix

机译：逐图借助于实用程序矩阵编辑距离的近似
- 作者：Kaspar Riesen;Andreas Fischer;Horst Bunke
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
30.Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks

机译：具有卷积神经网络的前瞻性声纳图像的对象评分和检测提案
- 作者：Matias Valdenegro-Toro
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Object detection;
- Detection proposals;
- Sonar image processing;
- Forward-looking sonar;
31.Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain

机译：机器学习驱动的心率检测与时域的相机光学读物模型
- 作者：Viktor Kessler;Markus Kachele;Sascha Meudt;Friedhelm Schwenker;Gunther Palm
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Photoplethysmography (PPG);
- Remote Photoplethysmography (rPPG);
- Camera;
- Webcam;
- K-nearest neighbor;
- Neural network;
- Gaussian distribution;
32.Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla Characters

机译：基于四树的图像分割和特征提取，以识别在线手写的Bangla字符
- 作者：Shibaprasad Sen;Mridul Mitra;Shubham Chowdhury;Ram Sarkar;Kaushik Roy
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
33.On the Harmony Search Using Quaternions

机译：在使用四元数的和声搜索
- 作者：Joao Papa;Danillo Pereira;Alexandro Baldassin;Xin-She Yang
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Harmony Search;
- Quaternions;
- Optimization;
34.Time Series Classification in Reservoir- and Model-Space: A Comparison

机译：水库和模型空间中的时间序列分类：比较
- 作者：Witali Aswolinskiy;Rene Felix Reinhart;Jochen Steil
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Time series classification;
- Echo State Network;
- Model space;
35.Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization

机译：精密医学中可解释的分类器：特征选择和多级分类
- 作者：Lyn-Rouven Schirra;Florian Schmid;Hans A. Kestler;Ludwig Lausser
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
36.Learning Parameters in Deep Belief Networks Through Firefly Algorithm

机译：通过萤火虫算法学习深度信仰网络中的参数
- 作者：Gustavo Rosa;Joao Papa;Kelton Costa;Leandro Passos;Clayton Pereira;Xin-She Yang
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Deep Belief Networks;
- Deep learning;
- Firefly algorithm;
37.Density Based Clustering via Dominant Sets

机译：基于密度的群体通过优势集
- 作者：Jian Hou;Weixue Liu;Xu E
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Dominant set;
- Histogram equalization;
- Density based clustering;
- Cluster extension;
38.Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks

机译：具有人工神经网络的软限制非参数密度估计
- 作者：Edmondo Trentin
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Density estimation;
- Nonparametric estimation;
- Unsuper-vised learning;
- Constrained learning;
- Multilayer perceptron;
39.On Gestures and Postural Behavior as a Modality in Ensemble Methods

机译：论集合方法中的姿态和姿势行为
- 作者：Heinke Hihn;Sascha Meudt;Friedhelm Schwenker
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
40.A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins

机译：蛋白质主要结构中半胱氨酸二硫键状态的杂交复发神经网络/动态概率图形模型预测因子
- 作者：Marco Bongini;Vincenzo Laveglia;Edmondo Trentin
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
41.On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM

机译：关于受限制博尔兹曼机和卷积rbm的CPU性能优化
- 作者：Baptiste Wicht;Andreas Fischer;Jean Hennebert
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
42.Co-training with Credal Models

机译：与债务模型共同培训
- 作者：Yann Soullard;Sebastien Destercke;Indira Thouvenin
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Co-training;
- Imprecise probabilities;
- Semi-supervised learning;
- Ensemble models;
43.Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR System

机译：阿拉伯语OCR系统中的多通道神经网络预测分割
- 作者：Mohamed A. Radwan;Mahmoud I. Khalil;Hazem M. Abbas
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Arabic segmentation;
- OCR;
- Convolutional neural networks;
44.Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks

机译：基于神经网络的空中视频自动动物检测的背景分类
- 作者：Yunfei Fang;Shengzhi Du;Rishaad Abdoola;Karim Djouani
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Image segmentation;
- Background categorization;
- Texture analysis;
- Animal detection;
- Neural network;
45.Incremental Construction of Low-Dimensional Data Representations

机译：低维数据表示的增量构建
- 作者：Alexander Kuleshov;Alexander Bernstein
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Machine learning;
- Dimensionality reduction;
- Manifold learning;
- Tangent bundle manifold learning;
- Incremental learning;
46.Improving Generalization Abilities of Maximal Average Margin Classifiers

机译：提高最大平均保证金分类器的泛化能力
- 作者：Shigeo Abe
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
47.Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation

机译：寻找小型随机傅里叶功能，用于换档不变内核近似
- 作者：Frank-M. Schleif;Ata Kaban;Peter Tino
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
48.Active Learning for Speech Event Detection in HCI

机译：主动学习HCI中的语音事件检测
- 作者：Patrick Thiam;Sascha Meudt;Friedhelm Schwenker;Gunther Palm
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
49.Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks

机译：利用卷积神经网络有效分类不平衡数据
- 作者：Vidwath Raj;Sven Magg;Stefan Wermter
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
50.Emotion Recognition in Speech with Deep Learning Architectures

机译：深入学习架构中的情感认知
- 作者：Mehmet Erdal;Markus Kachele;Friedhelm Schwenker
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
51.Learning Sequential Data with the Help of Linear Systems

机译：在线性系统的帮助下学习顺序数据
- 作者：Luca Pasa;Alessandro Sperduti
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
- Linear dynamical systems;
- Autoencoders;
- Learning in sequential domains;
52.Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals

机译：使用径向基函数神经网络从生物生理信号中连续和离散疼痛估算
- 作者：Mohammadreza Amirian;Markus Kachele;Friedhelm Schwenker
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2016年
53.Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning

机译：深度学习产生边界框监控
- 作者：Simone Bonechi;Paolo Andreini;Monica Bianchini;Franco Scarselli
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Deep learning;
- Semantic segmentation;
- Weak supervision;
- Bounding box;
54.SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation

机译：Sena-CNN：通过选择网络增强克服卷积神经网络中的灾难性遗忘
- 作者：Abel Zacarias;Luis A. Alexandre
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Lifelong learning;
- Catastrophic forgetting;
- Convolutional neural networks;
- Supervised learning;
55.Object Detection in Floor Plan Images

机译：地面平面图中的对象检测
- 作者：Zahra Ziran;Simone Marinai
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Floor plan analysis;
- Object detection Convolutional neural networks;
- Transfer learning;
56.Combining Classical and Deep Learning Methods for Twitter Sentiment Analysis

机译：结合古典和深度学习方法对Twitter情感分析
- 作者：Mohammad Hanafy;Mahmoud I. Khalil;Hazem M Abbas
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Sentiment analysis;
- Twitter;
- Deep learning NLP;
- Ensemble classifiers;
57.Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation

机译：神经混合密度的最大似然估计：模型，算法和初步实验评价
- 作者：Edmondo Trentin
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Density estimation;
- Mixture density;
- Unsupervised learning;
- Constrained learning;
- Mixture of experts;
58.DLL: A Fast Deep Neural Network Library

机译：DLL：一个快速的深神经网络图书馆
- 作者：Baptiste Wicht;Andreas Fischer;Joan Henebert
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
59.Historical Handwritten Document Segmentation by Using a Weighted Loss

机译：使用加权损失的历史手写文档分割
- 作者：Samuele Capobiancc;Leonardo Scommegna;Simone Marinai
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Convolutional Neural Networks;
- Page segmentation;
- Loss functions;
60.Selecting Features from Foreign Classes

机译：从外地类选择功能
- 作者：Ludwig Lausser;Robin Szekely;Viktor Kessler;Friedhelm Schwenker;Hans A. Kestler
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
61.ATM Protection Using Embedded Deep Learning Solutions

机译：ATM保护使用嵌入式深度学习解决方案
- 作者：Alessandro Rossi;Antonio Rizzo;Francesco Montefoschi
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Deep Learning;
- Convolutional Neural Networks;
- Recurrent Neural Networks;
- Computer Vision;
- Bank security Embedded systems;
- Depth images;
62.Extracting Gamma-Ray Information from Images with Convolutional Neural Network Methods on Simulated Cherenkov Telescope Array Data

机译：在模拟Cherenkov望远镜阵列数据上用卷积神经网络方法提取伽马射线信息
- 作者：Salvatore Mangano;Carlos Delgado;Maria Isabel Bernardos;Miguel Lallena;Juan Jose Rodriguez Vazquez
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
63.Inductive-Transductive Learning with Graph Neural Networks

机译：与图形神经网络的归纳转换学习
- 作者：Alberto Rossi;Matteo Tiezzi;Giovanna Maria Dimitri;Monica Bianchini;Marco Maggini;Franco Scarselli
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Graph Neural Networks;
- Transductive learning;
- Graph representations;
64.Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER~3)

机译：用于检索，排名和概括的视频和音频数据提取（VADER〜3）
- 作者：Volkmar Frinken;Satish Ravindran;Shriphani Palakodety;Guha Jayachandran;Nilesh Powar
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Multi modal video analytics;
- LSTM;
- CNN;
65.A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs

机译：通过误差驱动目标输出的深度学习的细化算法
- 作者：Vincenzo Laveglia;Edmondo Trentin
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Target propagation;
- Deep learning;
- Deep neural network;
- Refinement learning;
66.Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text

机译：结合深度学习和象征性处理从原始文本提取知识
- 作者：Andrea Zugarini;Jeremy Morvan;Stefano Melacci;Stefan Knerr;Marco Gori
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
67.Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

机译：使用特征响应图追踪和检测对CNN的对抗攻击
- 作者：Mohammadreza Amirian;Friedhelm Schwenker;Thilo Stadelmann
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Model interpretability;
- Feature visualization;
- Diagnostic;
68.Manifold Learning Regression with Non-stationary Kernels

机译：具有非静止内核的流形学习回归
- 作者：Alexander Kuleshov;Alexander Bernstein;Evgeny Burnaev
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Nonlinear multi-output regression;
- Manifold learning regression;
- Non-stationary kernel;
69.Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection

机译：异常模式识别，具有传感器故障检测的特权信息
- 作者：Dmitry Smolyakov;Nadezda Sviridenko;Evgeny Burikov;Evgeny Burnaev
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Anomaly detection;
- Road weather information system;
- Learning using privileged information;
- Internet of Things;
70.PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition

机译：Phog特征和Kullback-Leibler基于手写识别的排名方法
- 作者：Taraggy M. Ghanim;Mahmoud I. Khalil;Hazem M. Abbas
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Handwriting recognition;
- Pyramid histogram of gradients;
- Kullback-Leibler divergence;
71.Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering

机译：捕获语音的Suprase段特征，用于改进扬声器聚类的RNN
- 作者：Thilo Stadelmann;Sebastian Glinski-Haefeli;Patrick Gerber;Oliver Diirr
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Speaker clustering;
- Speaker recognition;
- Recurrent neural network;
72.Bounded Rational Decision-Making with Adaptive Neural Network Priors

机译：具有自适应神经网络前沿的有界理性决策
- 作者：Heinke Hihn;Sebastian Gottwald;Daniel A. Braun
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Bounded rationality;
- Variational Autoencoder;
- Adaptive priors;
- Markov Chain Monte Carlo;
73.Learning Neural Models for End-to-End Clustering

机译：学习端到端聚类的神经模型
- 作者：Benjamin Bruno Meier;Ismail Elezi;Mohammadreza Amirian;Oliver Durr;Thilo Stadelmann
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Perceptual grouping;
- Learning to cluster;
- Speech amp;
- image clustering;
74.Classification Uncertainty of Deep Neural Networks Based on Gradient Information

机译：基于梯度信息的深神经网络分类不确定性
- 作者：Philipp Oberdiek;Matthias Rottmann;Hanno Gottschalk
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Deep learning;
- Uncertainty quantification;
- Meta classification;
75.Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation

机译：基于音频的影响估计的序序分类和本地回归
- 作者：Maxime Sazadaly;Pierre Pinchon;Arthur Fagot;Lionel Prevost;Myriam Maumy-Bertrand
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Affective computing;
- Ensemble of classifiers;
- Random forests;
76.Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines

机译：平等限制对无约束大型边缘配电器的影响
- 作者：Shigeo Abe
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
77.A k-Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning

机译：基于K最近邻的多实例多标签活动学习算法
- 作者：Adrian T. Ruiz;Patrick Thiam;Friedhelm Schwenker;Gunther Palm
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
78.F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data

机译：使用不平衡数据可视化分类器性能的F测量曲线
- 作者：Roghayeh Soleymani;Eric Granger;Giorgio Fumera
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Class imbalance;
- Performance visualization tools;
- F-measure;
79.Automatic Hand Sign Recognition: Identify Unusuality Through Latent Cognizance

机译：自动手标识识别：通过潜在认知来识别不寻常
- 作者：Pisit Nakjai;Tatpong Katanyukul
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Hand sign recognition;
- Thai Finger Spelling;
- Open-set detection;
- Novelty detection;
- Zero-shot learning;
- Inference interpretation;
80.Feature Selection with Renyi Min-Entropy

机译：具有renyi min-entropy的功能选择
- 作者：Catuscia Palamidessi;Marco Romanelli
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
81.Pattern Recognition Pipeline for Neuroimaging Data

机译：用于神经影像数据数据的模式识别管道
- 作者：Maxim Sharaev;Alexander Andreev;Alexey Artemov;Evgeny Burnaev;Ekaterina Kondratyeva;Svetlana Sushchinskaya;Irina Samotaeva;Vladislav Gaskin;Alexander Bernstein
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Pattern recognition;
- Neuroimaging data;
- Biomarkers;
- Neurology;
- Psychiatry;
- MRI;
- FMRI;
82.What's Wrong with Computer Vision?

机译：计算机愿景有什么问题？
- 作者：Marco Gori
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Computer vision;
- Object recognition;
- Machine learning;
- Motion invariance;
83.Deep Learning in the Wild

机译：在野外学习
- 作者：Thilo Stadelmann;Mohammadreza Amirian;Ismail Arabaci;Marek Arnold;Gilbert Francois Duivesteijn;Ismail Elezi;Melanie Geiger;Stefan Lorwald;Benjamin Bruno Meier;Katharina Rombach;Lukas Tuggener
- 会议名称：《IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition》 | 2018年
- Data availability;
- Deployment;
- Loss amp;
- reward shaping;
- Real world tasks;