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IAPR TC3 workshop on artificial neural networks in pattern recognition

召开年：2018
召开地：Siena(IT)
出版时间：-

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1.Preface

机译：前言
- 作者：Luca Pancioni;Friedhelm Schwenker;Edmondo Trentin
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
2.What's Wrong with Computer Vision?

机译：计算机视觉有什么问题？
- 作者：Marco Gori
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Computer vision;
- Object recognition;
- Machine learning;
- Motion invariance;
3.Deep Learning in the Wild

机译：野外深度学习
- 作者：Thilo Stadelmann;Mohammadreza Amirian;Ismail Arabaci;Marek Arnold;Gilbert Francois Duivesteijn;Ismail Elezi;Melanie Geiger;Stefan Loerwald;Benjamin Bruno Meier;Katharina Rombach;Lukas Tuggener
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Data availability;
- Deployment;
- Loss reward shaping;
- Real world tasks;
4.Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines

机译：平等约束对无约束大型保证金分配机的影响
- 作者：Shigeo Abe
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
5.DLL: A Fast Deep Neural Network Library

机译：DLL：快速深层神经网络库
- 作者：Baptiste Wicht;Andreas Fischer;Jean Hennebert
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
6.Selecting Features from Foreign Classes

机译：从外国课程中选择功能
- 作者：Ludwig Lausser;Robin Szekely;Viktor Kessler;Friedhelm Schwenker;Hans A. Kestler
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
7.A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs

机译：一种通过目标输出的误差驱动传播进行深度学习的改进算法
- 作者：Vincenzo Laveglia;Edmondo Trentin
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Target propagation;
- Deep learning;
- Deep neural network;
- Refinement learning;
8.Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text

机译：结合深度学习和符号处理从原始文本中提取知识
- 作者：Andrea Zugarini;Jeremy Morvan;Stefano Melacci;Stefan Knerr;Marco Gori
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Information Extraction;
- Learning from Constraints;
- Deep Learning;
- Symbolic knowledge representation;
9.SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation

机译：SeNA-CNN：通过选择性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 workshop on artificial neural networks in pattern recognition》 | 2018年
- Lifelong learning;
- Catastrophic forgetting Convolutional neural networks;
- Supervised learning;
10.Classification Uncertainty of Deep Neural Networks Based on Gradient Information

机译：基于梯度信息的深度神经网络分类不确定性
- 作者：Philipp Oberdiek;Matthias Rottmann;Hanno Gottschalk
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Deep learning;
- Uncertainty quantification;
- Meta classification;
11.Learning Neural Models for End-to-End Clustering

机译：学习用于端到端聚类的神经模型
- 作者：Benjamin Bruno Meier;Ismail Elezi;Mohammadreza Amirian;Oliver Duerr;Thilo Stadelmann
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Perceptual grouping;
- Learning to cluster;
- Speech image clustering;
12.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主动学习算法
- 作者：Adrian T. Ruiz;Patrick Thiam;Friedhelm Schwenker;Guenther Palm
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
13.Manifold Learning Regression with Non-stationary Kernels

机译：非平稳核的流形学习回归
- 作者：Alexander Kuleshov;Alexander Bernstein;Evgeny Burnaev
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Nonlinear multi-output regression;
- Manifold learning regression;
- Non-stationary kernel;
14.F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data

机译：F量度曲线，用于通过不平衡数据可视化分类器性能
- 作者：Roghayeh Soleymani;Eric Granger;Giorgio Fumera
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Class imbalance;
- Performance visualization tools;
- F-measure;
15.Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation

机译：神经混合物密度的最大似然估计：模型，算法和初步实验评估
- 作者：Edmondo Trentin
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Density estimation;
- Mixture density;
- Unsupervised learning;
- Constrained learning;
- Mixture of experts;
16.Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning

机译：使用深度学习生成边界分割监督以进行语义分割
- 作者：Simone Bonechi;Paolo Andreini;Monica Bianchini;Franco Scarselli
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Deep learning;
- Semantic segmentation;
- Weak supervision;
- Bounding box;
17.Inductive-Transductive Learning with Graph Neural Networks

机译：图神经网络的感应-转导学习
- 作者：Alberto Rossi;Matteo Tiezzi;Giovanna Maria Dimitri;Monica Bianchini;Marco Maggini;Franco Scarselli
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Graph Neural Networks;
- Transductive learning;
- Graph representations;
18.Bounded Rational Decision-Making with Adaptive Neural Network Priors

机译：自适应神经网络先验有界理性决策
- 作者：Heinke Hihn;Sebastian Gottwald;Daniel A. Braun
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Bounded rationality;
- Variational Autoencoder;
- Adaptive priors;
- Markov Chain Monte Carlo;
19.Feature Selection with Renyi Min-Entropy

机译：Renyi最小熵的特征选择
- 作者：Catuscia Palamidessi;Marco Romanelli
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
20.Extracting Gamma-Ray Information from Images with Convolutional Neural Network Methods on Simulated Cherenkov Telescope Array Data

机译：卷积神经网络在模拟切伦科夫望远镜阵列数据上的图像提取伽马射线信息
- 作者：Salvatore Mangano;Carlos Delgado;Maria Isabel Bernardos;Miguel Lallena;Juan Jose Rodriguez Vazquez
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
21.Automatic Hand Sign Recognition: Identify Unusuality Through Latent Cognizance

机译：自动手势识别：通过潜在认知识别异常
- 作者：Pisit Nakjai;Tatpong Katanyukul
- 会议名称：《IAPR TC3 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;
22.Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation

机译：基于音频的情感估计的有序分类和局部回归的级联
- 作者：Maxime Sazadaly;Pierre Pinchon;Arthur Fagot;Lionel Prevost;Myriam Maumy-Bertrand
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Affective computing;
- Ensemble of classifiers;
- Random forests;
23.Combining Classical and Deep Learning Methods for Twitter Sentiment Analysis

机译：结合经典和深度学习方法进行Twitter情感分析
- 作者：Mohammad Hanafy;Mahmoud I. Khalil;Hazem M. Abbas
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Sentiment analysis;
- Twitter;
- Deep learning NLP;
- Ensemble classifiers;
24.PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition

机译：PHoG特征和基于Kullback-Leibler散度的手写识别排名方法
- 作者：Taraggy M. Ghanim;Mahmoud I. Khalil;Hazem M. Abbas
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Handwriting recognition Pyramid histogram of gradients;
- Kullback-Leibler divergence;
25.Pattern Recognition Pipeline for Neuroimaging Data

机译：神经影像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 workshop on artificial neural networks in pattern recognition》 | 2018年
- Pattern recognition;
- Neuroimaging data;
- Biomarkers Neurology;
- Psychiatry;
- MRI;
- fMRI;
26.Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection

机译：具有特权信息的异常模式识别，用于传感器故障检测
- 作者：Dmitry Smolyakov;Nadezda Sviridenko;Evgeny Burikov;Evgeny Burnaev
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
27.Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering

机译：使用RNN捕获语音的超分段特征以改善说话者聚类
- 作者：Thilo Stadelmann;Sebastian Glinski-Haefeli;Patrick Gerber;Oliver Duerr
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Speaker clustering;
- Speaker recognition;
- Recurrent neural network;
28.Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps

机译：使用特征响应图跟踪和检测CNN的对抗性攻击
- 作者：Mohammadreza Amirian;Friedhelm Schwenker;Thilo Stadelmann
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Model interpretability;
- Feature visualization;
- Diagnostic;
29.Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER~3)

机译：视频和音频数据提取，用于检索，排序和重述（VADER〜3）
- 作者：Volkmar Frinken;Satish Ravindran;Shriphani Palakodety;Guha Jayachandran;Nilesh Powar
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Multi modal video analytics;
- LSTM;
- CNN;
30.ATM Protection Using Embedded Deep Learning Solutions

机译：使用嵌入式深度学习解决方案的ATM保护
- 作者：Alessandro Rossi;Antonio Rizzo;Francesco Montefoschi
- 会议名称：《IAPR TC3 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;
31.Object Detection in Floor Plan Images

机译：平面图图像中的对象检测
- 作者：Zahra Ziran;Simone Marinai
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Floor plan analysis;
- Object detection;
- Convolutional neural networks;
- Transfer learning;
32.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 Capobianco;Leonardo Scommegna;Simone Marinai
- 会议名称：《IAPR TC3 workshop on artificial neural networks in pattern recognition》 | 2018年
- Convolutional Neural Networks;
- Page segmentation;
- Loss functions;