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2017 IEEE 27th International Workshop on Machine Learning for Signal Processing

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1.Machine learning regression based on particle bernstein polynomials for nonlinear system identification

机译：基于粒子伯恩斯坦多项式的机器学习回归用于非线性系统辨识
- 作者：Giorgio Biagetti;Paolo Crippa;Laura Falaschetti;Claudio Turchetti
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
2.Hankel subspace method for efficient gesture representation

机译：有效手势表示的Hankel子空间方法
- 作者：Bernardo B. Gatto;Anna Bogdanova;Lincon S. Souza;Eulanda M. dos Santos
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Gesture recognition;
- Eigenvalues and eigenfunctions;
- Feature extraction;
- Computational efficiency;
- Hardware;
- Computer vision;
3.Limiting the reconstruction capability of generative neural network using negative learning

机译：负学习限制生成神经网络的重构能力
- 作者：Asim Munawar;Phongtharin Vinayavekhin;Giovanni De Magistris
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Image reconstruction;
- Anomaly detection;
- Training;
- Mathematical model;
- Training data;
- Noise reduction;
- Data models;
4.End-to-End learning of cost-volume aggregation for real-time dense stereo

机译：实时密集立体声的成本-体积聚合的端到端学习
- 作者：Andrey Kuzmin;Dmitry Mikushin;Victor Lempitsky
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Transforms;
- Image edge detection;
- Smoothing methods;
- Machine learning;
- Training;
- Real-time systems;
- Semantics;
5.Blind source separation for nonstationary tensor-valued time series

机译：非平稳张量值时间序列的盲源分离
- 作者：J. Virta;K. Nordhausen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Tensile stress;
- Covariance matrices;
- Time series analysis;
- Blind source separation;
- Technological innovation;
- Jacobian matrices;
- Indexes;
6.Scene-Adapted plug-and-play algorithm with convergence guarantees

机译：具有融合保证的适用于场景的即插即用算法
- 作者：Afonso M. Teodoro;José M. Bioucas-Dias;Mário A. T. Figueiredo
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Convex functions;
- Noise measurement;
- Convergence;
- Noise reduction;
- Image denoising;
- Covariance matrices;
- Hyperspectral imaging;
7.Inferring room semantics using acoustic monitoring

机译：使用声音监控推断房间语义
- 作者：Muhammad Ahmed Shah;Bhiksha Raj;Khaled A. Harras
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Semantics;
- Spectrogram;
- Audio recording;
- Buildings;
- Monitoring;
- Cepstral analysis;
8.Unsupervised multiview learning with partial distribution information

机译：具有部分分布信息的无监督多视图学习
- 作者：Shashini De Silva;Jinsub Kim;Raviv Raich
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Training;
- Training data;
- Hidden Markov models;
- Noise measurement;
- Markov processes;
- Unsupervised learning;
- Convex functions;
9.Infinite probabilistic latent component analysis for audio source separation

机译：无限概率潜在成分分析用于音频源分离
- 作者：Kazuyoshi Yoshii;Eita Nakamura;Katsutoshi Itoyama;Masataka Goto
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Probabilistic logic;
- Source separation;
- Bayes methods;
- Time-frequency analysis;
- Mixture models;
- Learning systems;
- Spectrogram;
10.Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification

机译：差分互信息正向搜索用于多核判别成分选择及其在隐私保护分类中的应用
- 作者：Thee Chanyaswad;Mert Al;J. Morris Chang;S. Y. Kung
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Kernel;
- Privacy;
- Measurement;
- Mutual information;
- Data privacy;
- Redundancy;
11.Information theoretic feature projection for single-trial brain-computer interfaces

机译：单试验脑机接口的信息理论特征投影
- 作者：Ozan Özdenizci;Fernando Quivira;Deniz Erdoğmuş
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Feature extraction;
- Electroencephalography;
- Mutual information;
- Training;
- Filter banks;
- Finite impulse response filters;
12.A comparative study of example-guided audio source separation approaches based on nonnegative matrix factorization

机译：基于非负矩阵分解的实例引导音频源分离方法的比较研究
- 作者：Alexey Ozerov;Srđan Kitić;Patrick Pérez
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Source separation;
- Estimation;
- Adaptation models;
- Music;
- Time-frequency analysis;
- Spectrogram;
13.Speech recognition features based on deep latent Gaussian models

机译：基于深度潜在高斯模型的语音识别功能
- 作者：Andros Tjandra;Sakriani Sakti;Satoshi Nakamura
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Probabilistic logic;
- Neural networks;
- Feature extraction;
- Training;
- Gaussian distribution;
- Acoustics;
- Decoding;
14.Unsupervised domain adaptation with copula models

机译：copula模型的无监督域自适应
- 作者：Cuong D. Tran;Ognjen Oggi Rudovic;Vladimir Pavlovic
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Adaptation models;
- Data models;
- Predictive models;
- Training;
- Correlation;
- Benchmark testing;
15.Learning embeddings for speaker clustering based on voice equality

机译：基于语音相等性的说话人聚类学习嵌入
- 作者：Yanick X. Lukic;Carlo Vogt;Oliver Dürr;Thilo Stadelmann
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Training;
- Speech;
- Cost function;
- Feature extraction;
- Spectrogram;
- Computer architecture;
16.Visualizing and improving scattering networks

机译：可视化和改善散射网络
- 作者：Fergal Cotter;Nick Kingsbury
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Personal area networks;
- Scattering;
- Wavelet transforms;
- Image reconstruction;
- Feature extraction;
- Visualization;
17.Local Gaussian model with source-set constraints in audio source separation

机译：音频源分离中具有源集约束的局部高斯模型
- 作者：Rintaro Ikeshita;Masahito Togami;Yohei Kawaguchi;Yusuke Fujita;Kenji Nagamatsu
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Time-frequency analysis;
- Source separation;
- Speech;
- Noise measurement;
- Covariance matrices;
- Microphones;
- Gaussian distribution;
18.Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring

机译：深度卷积神经网络用于EEG睡眠阶段评分的可解释分析
- 作者：Albert Vilamala;Kristoffer H. Madsen;Lars K. Hansen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Sleep;
- Electroencephalography;
- Feature extraction;
- Visualization;
- Brain modeling;
- Time-frequency analysis;
19.Leveraging deep neural networks with nonnegative representations for improved environmental sound classification

机译：利用具有非负表示的深度神经网络改善环境声音分类
- 作者：Victor Bisot;Romain Serizel;Slim Essid;Gael Richard
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Time-frequency analysis;
- Dictionaries;
- Neural networks;
- Training;
- Acoustics;
- Machine learning;
20.Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction

机译：自适应稀疏建模和基于位移泊松似然的低剂量图像重建方法
- 作者：Siqi Ye;Saiprasad Ravishankar;Yong Long;Jeffrey A. Fessler
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Computed tomography;
- Transforms;
- Image reconstruction;
- X-ray imaging;
- Encoding;
- Training;
- Optimization;
21.Text to image generative model using constrained embedding space mapping

机译：使用约束嵌入空间映射的文本到图像生成模型
- 作者：Subhajit Chaudhury;Sakyasingha Dasgupta;Asim Munawar;Md. A. Salam Khan;Ryuki Tachibana
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Data models;
- Training;
- Natural languages;
- Image reconstruction;
- Manifolds;
- Linear programming;
- Image color analysis;
22.Memory augmented neural network for source separation

机译：记忆增强神经网络用于源分离
- 作者：Kai-Wei Tsou;Jen-Tzung Chien
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Source separation;
- Speech enhancement;
- Speech;
- Recurrent neural networks;
- Logic gates;
- Matrix decomposition;
23.A layer-block-wise pipeline for memory and bandwidth reduction in distributed deep learning

机译：用于减少分布式深度学习中的内存和带宽的分层分层流水线
- 作者：Haruki Mori;Tetsuya Youkawa;Shintaro Izumi;Masahiko Yoshimoto;Hiroshi Kawaguchi;Atsuki Inoue
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Pipelines;
- Parallel processing;
- Bandwidth;
- Backpropagation;
- Training;
- Memory management;
- Image recognition;
24.Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components

机译：基于核独立向量机使用功能独立组件将双相情感障碍与严重抑郁症区分开
- 作者：Shuang Gao;Elizabeth A. Osuch;Michael Wammes;Jean Théberge;Tian-Zi Jiang;Vince D. Calhoun;Jing Sui
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Support vector machines;
- Kernel;
- Integrated circuits;
- Symmetric matrices;
- Training;
- Testing;
25.Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training

机译：递归神经网络和置换不变训练的联合分离和去噪多说话者语音降噪
- 作者：Morten Kolbæk;Dong Yu;Zheng-Hua Tan;Jesper Jensen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech;
- Training;
- Noise reduction;
- Noise measurement;
- Machine learning;
- Recurrent neural networks;
26.Asymptotic performance of regularized quadratic discriminant analysis based classifiers

机译：基于正则二次判别分析的分类器的渐近性能
- 作者：Khalil Elkhalil;Abla Kammoun;Romain Couillet;Tareq Y. Al-Naffouri;Mohamed-Slim Alouini
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Covariance matrices;
- Training;
- Standards;
- Error analysis;
- Convergence;
- Gaussian distribution;
- Random variables;
27.Does speech enhancement work with end-to-end ASR objectives?: Experimental analysis of multichannel end-to-end ASR

机译：语音增强功能是否符合端到端ASR目标？：多通道端到端ASR的实验分析
- 作者：Tsubasa Ochiai;Shinji Watanabe;Shigeru Katagiri
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech enhancement;
- Speech;
- Noise measurement;
- Training;
- Speech recognition;
- Feature extraction;
- Time-frequency analysis;
28.Fast algorithm using summed area tables with unified layer performing convolution and average pooling

机译：使用求和面积表和统一层执行卷积和平均池化的快速算法
- 作者：Akihiko Kasagi;Tsuguchika Tabaru;Hirotaka Tamura
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Convolution;
- Kernel;
- Signal processing algorithms;
- Computational efficiency;
- Feature extraction;
- Backpropagation;
- Complexity theory;
29.Multi-Objective contextual bandits with a dominant objective

机译：具有主要目标的多目标语境强盗
- 作者：Cem Tekin;Eralp Turgay
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Uncertainty;
- Signal processing algorithms;
- Partitioning algorithms;
- Context modeling;
- Distance measurement;
- Recommender systems;
- Indexes;
30.Neonatal seizure detection using convolutional neural networks

机译：使用卷积神经网络检测新生儿癫痫
- 作者：Alison OShea;Gordon Lightbody;Geraldine Boylan;Andriy Temko
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Electroencephalography;
- Feature extraction;
- Pediatrics;
- Support vector machines;
- Convolution;
- Time-frequency analysis;
- Training;
31.Dictionary learning for pitch estimation in speech signals

机译：用于语音信号音高估计的字典学习
- 作者：Feng Huang;Peter Balazs
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Dictionaries;
- Harmonic analysis;
- Estimation;
- Speech;
- Machine learning;
- Training data;
- Manuals;
32.Navigation-Based learning for survey trajectory classification in autonomous underwater vehicles

机译：基于导航的自主水下航行器测量轨迹分类学习
- 作者：M. De Lucas Alvarez;H. Hastie;D. Lane
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Trajectory;
- Hidden Markov models;
- Spirals;
- Monitoring;
- Navigation;
- Robot sensing systems;
33.Object classification with convolution neural network based on the time-frequency representation of their echo

机译：基于回波的时频表示的卷积神经网络目标分类
- 作者：Mariia Dmitrieva;Matias Valdenegro-Toro;Keith Brown;Gary Heald;David Lane
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Time-frequency analysis;
- Scattering;
- Shape;
- Wideband;
- Neural networks;
- Support vector machines;
- Convolution;
34.Joint learning of deep multi-scale features and diversified metrics for hyperspectral image classification

机译：联合学习深度多尺度特征和高光谱图像分类的多样化指标
- 作者：Zhiqiang Gong;Ping Zhong;Yang Yu;Jiaxin Shan;Weidong Hu
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Feature extraction;
- Hyperspectral imaging;
- Measurement;
- Training;
- Image classification;
- Support vector machines;
- Convolution;
35.Neural network alternatives toconvolutive audio models for source separation

机译：神经网络替代卷积音频模型进行源分离
- 作者：Shrikant Venkataramani;Cem Subakan;Paris Smaragdis
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Spectrogram;
- Decoding;
- Neural networks;
- Source separation;
- Training;
- Speech;
- Convolutional codes;
36.On generating mixing noise signals with basis functions for simulating noisy speech and learning dnn-based speech enhancement models

机译：生成具有基本功能的混合噪声信号以模拟嘈杂的语音并学习基于dnn的语音增强模型
- 作者：Shi-Xue Wen;Jun Du;Chin-Hui Lee
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech;
- Speech enhancement;
- Noise measurement;
- Training;
- Microstructure;
- Neural networks;
- Training data;
37.A locally optimal algorithm for estimating a generating partition from an observed time series

机译：用于根据观察到的时间序列估计生成分区的局部最优算法
- 作者：David J. Miller;Najah F. Ghalyan;Asok Ray
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
38.DTW-Approach for uncorrelated multivariate time series imputation

机译：不相关多元时间序列插补的DTW方法
- 作者：Thi-Thu-Hong Phan;Émilie Poisson Caillault;Andrhé Bigand;Alain Lefebvre
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Time series analysis;
- Correlation;
- Heuristic algorithms;
- Mice;
- Ocean temperature;
- Temperature distribution;
39.Adversarial learning: A critical review and active learning study

机译：对抗学习：批判性评论和主动学习
- 作者：D.J. Miller;X. Hu;Z. Qiu;G. Kesidis
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Electronic mail;
- Niobium;
- Authentication;
- Labeling;
- Training;
- Speech recognition;
40.Domain-Adaptive generative adversarial networks for sketch-to-photo inversion

机译：用于草图到照片反演的领域自适应生成对抗网络
- 作者：Yen-Cheng Liu;Wei-Chen Chiu;Sheng-De Wang;Yu-Chiang Frank Wang
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Training;
- Gallium nitride;
- Face;
- Image generation;
- Machine learning;
- Training data;
41.A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks

机译：用于车辆监控网络的贝叶斯预测和异常检测框架
- 作者：Maria Scalabrin;Matteo Gadaleta;Riccardo Bonetto;Michele Rossi
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Roads;
- Bayes methods;
- Anomaly detection;
- Monitoring;
- Forecasting;
- Probability distribution;
- Gaussian mixture model;
42.Human fall detection using segment-level cnn features and sparse dictionary learning

机译：使用段级cnn特征和稀疏字典学习进行人体跌倒检测
- 作者：Chenjie Ge;Irene Yu-Hua Gu;Jie Yang
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Videos;
- Feature extraction;
- Optical imaging;
- Streaming media;
- Computational modeling;
- Support vector machines;
- Senior citizens;
43.Parallelizable sparse inverse formulation Gaussian processes (SpInGP)

机译：可并行的稀疏逆公式高斯过程（SpInGP）
- 作者：Alexander Grigorievskiy;Neil Lawrence;Simo Särkkä
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Sparse matrices;
- Covariance matrices;
- Computational modeling;
- Gaussian processes;
- Inference algorithms;
- Time complexity;
44.A diagonal plus low-rank covariance model for computationally efficient source separation

机译：对角加低秩协方差模型，可实现有效的信号源分离
- 作者：Antoine Liutkus;Kazuyoshi Yoshii
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Covariance matrices;
- Time-domain analysis;
- Computational modeling;
- Tensile stress;
- Source separation;
- Frequency-domain analysis;
- Correlation;
45.Improving image classification with frequency domain layers for feature extraction

机译：使用频域层改进图像分类以进行特征提取
- 作者：José A. Stuchi;Marcus A. Angeloni;Rodrigo F. Pereira;Levy Boccato;Guilherme Folego;Paulo V. S. Prado;Romis R. F. Attux
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Feature extraction;
- Face;
- Frequency-domain analysis;
- Computer architecture;
- Biological neural networks;
- Computer vision;
- Signal processing;
46.Detecting malignant ventricular arrhythmias in electrocardiograms by Gaussian process classification

机译：用高斯过程分类法检测心电图中恶性室性心律失常
- 作者：Kimmo Suotsalo;Simo Särkkä
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Cancer;
- Electrocardiography;
- Rhythm;
- Gaussian processes;
- Kernel;
- Heart beat;
- Electrodes;
47.Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes

机译：Rao-Blackwellized粒子mcmc用于时空高斯过程中的参数估计
- 作者：Roland Hostettler;Simo Särkkä;Simon J. Godsill
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Computational modeling;
- Trajectory;
- Gaussian processes;
- Monte Carlo methods;
- Kalman filters;
- Parameter estimation;
- Training;
48.Rényi entropy based mutual information for semi-supervised bird vocalization segmentation

机译：基于Rényi熵的互信息，用于半监督鸟发声分割
- 作者：Anshul Thakur;Vinayak Abrol;Pulkit Sharma;Padmanabhan Rajan
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Birds;
- Entropy;
- Time-frequency analysis;
- Audio recording;
- Mutual information;
- Matrix decomposition;
- Speech;
49.Blind channel equalization of encoded data over galois fields

机译：伽罗瓦域上编码数据的盲通道均衡
- 作者：Denis G. Fantinato;Aline Neves;Daniel G. Silva;Romis Attux
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Blind equalizers;
- Distortion;
- Source coding;
- Galois fields;
50.Scatternet hybrid deep learning (SHDL) network for object classification

机译：用于对象分类的Scatternet混合深度学习（SHDL）网络
- 作者：Amarjot Singh;Nick Kingsbury
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Feature extraction;
- Personal area networks;
- Training;
- Unsupervised learning;
- Computer architecture;
- Optimization;
- Supervised learning;
51.Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation

机译：基于复杂学生t分布的独立低秩矩阵分析用于盲音频源分离
- 作者：Shinichi Mogami;Daichi Kitamura;Yoshiki Mitsui;Norihiro Takamune;Hiroshi Saruwatari;Nobutaka Ono
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Spectrogram;
- IP networks;
- Blind source separation;
- Time-frequency analysis;
- Gaussian distribution;
- Optimization;
52.Partitioning in signal processing using the object migration automaton and the pursuit paradigm

机译：使用对象迁移自动机和追踪范例对信号处理进行分区
- 作者：Abdolreza Shirvani;B. John Oommen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Manganese;
- Learning automata;
- Automata;
53.A regularized sequential dictionary learning algorithm for fmri data analysis

机译：用于fmri数据分析的正则化顺序字典学习算法
- 作者：Abd-Krim Seghouane;Asif Iqbal
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Dictionaries;
- Machine learning;
- Approximation algorithms;
- Sparse matrices;
- Signal processing algorithms;
- Minimization;
- Encoding;
54.Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

机译：卷积神经网络的多谱学习增强复杂频谱图
- 作者：Szu-Wei Fu;Ting-yao Hu;Yu Tsao;Xugang Lu
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Spectrogram;
- Noise measurement;
- Speech enhancement;
- Speech;
- Signal to noise ratio;
- Linear programming;
55.Faster R-CNN with densenet for scale aware pedestrian detection vis-à-vis hard negative suppression

机译：带有密集网的R-CNN更快，可实现规模感知的行人检测，相对于硬负抑制
- 作者：Suman Kumar Choudhury;Ram Prasad Padhy;Pankaj Kumar Sa
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Erbium;
- Silicon;
56.The time series cluster kernel

机译：时间序列集群内核
- 作者：Karl Øyvind Mikalsen;Filippo Maria Bianchi;Cristina Soguero-Ruiz;Robert Jenssen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Kernel;
- Time series analysis;
- Robustness;
- Training;
- Hilbert space;
- Data models;
- Covariance matrices;
57.Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method

机译：使用静止状态功能网络连通性将精神分裂症与正常对照区分开：一种深度神经网络和逐层相关性传播方法
- 作者：Weizheng Yan;Sergey Plis;Vince D Calhoun;Shengfeng Liu;Rongtao Jiang;Tian-Zi Jiang;Jing Sui
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Training;
- Integrated circuits;
- Neurons;
- Biological neural networks;
- Machine learning;
- Learning systems;
58.Cover tree compressed sensing for fast mr fingerprint recovery

机译：覆盖树压缩感应可快速恢复先生指纹
- 作者：Mohammad Golbabaee;Zhouye Chen;Yves Wiaux;Mike E. Davies
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Complexity theory;
- Manifolds;
- Dictionaries;
- Compressed sensing;
- Data models;
- Artificial neural networks;
- Fingerprint recognition;
59.Iterative data-driven coronary vessel labeling

机译：迭代数据驱动的冠状动脉标记
- 作者：Tsaipei Wang
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Labeling;
- Arteries;
- Signal processing algorithms;
- Estimation;
- Image segmentation;
- Algorithm design and analysis;
60.Classical quadrature rules via Gaussian processes

机译：通过高斯过程的经典正交规则
- 作者：Toni Karvonen;Simo Särkkä
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Bayes methods;
- Kernel;
- Gaussian processes;
- Probabilistic logic;
- Hilbert space;
- Numerical models;
61.Learning guided convolutional neural networks for cross-resolution face recognition

机译：学习指导的卷积神经网络用于多分辨率人脸识别
- 作者：Tzu-Chien Fu;Wei-Chen Chiu;Yu-Chiang Frank Wang
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Face recognition;
- Image resolution;
- Face;
- Training;
- Robustness;
62.A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation

机译：具有跳过过滤连接的单声道歌声分离的循环编码器-解码器方法
- 作者：Stylianos Ioannis Mimilakis;Konstantinos Drossos;Tuomas Virtanen;Gerald Schuller
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Time-frequency analysis;
- Spectrogram;
- Decoding;
- Road transportation;
- Source separation;
- Estimation;
- Machine learning;
63.Semi-Blind speech enhancement basedon recurrent neural network for source separation and dereverberation

机译：基于递归神经网络的半盲语音增强分离和混响
- 作者：Masaya Wake;Yoshiaki Bando;Masato Mimura;Katsutoshi Itoyama;Kazuyoshi Yoshii;Tatsuya Kawahara
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech;
- Robots;
- Speech enhancement;
- Source separation;
- Recurrent neural networks;
- Microphones;
64.Upper bound performance of semi-definite programming for localisation in inhomogeneous media

机译：半定规划在非均匀介质中定位的上限性能
- 作者：E. S. Nadimi;V. Blanes-Vidal
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Nonhomogeneous media;
- Noise measurement;
- Upper bound;
- Refractive index;
- Distance measurement;
- Stochastic processes;
65.Mel-Generalized cepstral regularization for discriminative non-negative matrix factorization

机译：Mel广义倒谱正则化用于判别非负矩阵分解
- 作者：Li Li;Hirokazu Kameoka;Shoji Makino
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech;
- Speech enhancement;
- Cepstral analysis;
- Training;
- Linear programming;
- Spectrogram;
- Speech recognition;
66.Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures

机译：Dirichlet过程混合物中经kl校正的变量的凸差优化
- 作者：Rasmus Bonnevie;Mikkel N. Schmidt;Morten M⊘rup
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Optimization;
- Entropy;
- Bayes methods;
- Mathematical model;
- Mixture models;
- Standards;
- Convex functions;
67.Texture classification from single uncalibrated images: Random matrix theory approach

机译：来自单个未校准图像的纹理分类：随机矩阵理论方法
- 作者：E. S. Nadimi;J. Herp;M. M. Buijs;V. Blanes-Vidal
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Eigenvalues and eigenfunctions;
- Databases;
- Covariance matrices;
- Biological system modeling;
- Noise level;
- Image color analysis;
- Lighting;
68.Approximate method of variational Bayesian matrix factorization with sparse prior

机译：稀疏先验的变分贝叶斯矩阵分解的近似方法
- 作者：Ryota Kawasumi;Koujin Takeda
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Bayes methods;
- Sparse matrices;
- Covariance matrices;
- Mathematical model;
- Iterative methods;
- Algorithm design and analysis;
- Markov processes;
69.Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC

机译：澳门：使用MCMC的具有高维辅助信息的可扩展贝叶斯分解
- 作者：J. Simm;A. Arany;P. Zakeri;T. Haber;J. K. Wegner;V. Chupakhin;H. Ceulemans;Y. Moreau
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Bayes methods;
- Linear systems;
- Complexity theory;
- Sparse matrices;
- Standards;
- Covariance matrices;
70.Missing component restoration for masked speech signals based on time-domain spectrogram factorization

机译：基于时域频谱图分解的掩盖语音信号丢失分量恢复
- 作者：Shogo Seki;Hirokazu Kameoka;Tomoki Toda;Kazuya Takeda
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Spectrogram;
- Speech;
- Time-frequency analysis;
- Time-domain analysis;
- Speech enhancement;
- Linear programming;
- Cepstral analysis;
71.Correntropy induced metric based common spatial patterns

机译：熵诱导的基于度量的常见空间模式
- 作者：Jiyao Dong;Badong Chen;Na Lu;Haixian Wang;Nanning Zheng
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Electroencephalography;
- Robustness;
- Kernel;
- Signal processing algorithms;
- Bandwidth;
- Toy manufacturing industry;
72.Compact kernel classifiers trained with minimum classification error criterion

机译：使用最小分类误差准则训练的紧凑型内核分类器
- 作者：Ryoma Tani;Hideyuki Watanabe;Shigeru Katagiri;Miho Ohsaki
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Training;
- Kernel;
- Support vector machines;
- Prototypes;
- Minimization;
- Robustness;
73.MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information

机译：MIML-AI：具有辅助信息的混合监督多实例多标签学习
- 作者：Tarn Nguyen;Raviv Raich;Xiaoli Z. Fern;Anh T. Pham
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Labeling;
- Computational modeling;
- Manuals;
- Graphical models;
- Metadata;
- Logistics;
- Maximum likelihood estimation;
74.Learning approximate neural estimators for wireless channel state information

机译：学习用于无线信道状态信息的近似神经估计器
- 作者：Tim OShea;Kiran Karra;T. Charles Clancy
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Estimation;
- Timing;
- Frequency estimation;
- Computational modeling;
- Fading channels;
- Signal to noise ratio;
- Phase shift keying;
75.Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder

机译：使用3D多尺度稀疏去噪自动编码器降低低剂量ct的噪声
- 作者：Katrin Mentl;Boris Mailhé;Florin C. Ghesu;Frank Schebesch;Tino Haderlein;Andreas Maier;Mariappan S. Nadar
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Three-dimensional displays;
- Noise reduction;
- Computed tomography;
- Two dimensional displays;
- Image reconstruction;
- Noise level;
- Noise measurement;
76.Adversarial nets with perceptual losses for text-to-image synthesis

机译：具有感知损失的对抗网，用于文本到图像的合成
- 作者：Miriam Cha;Youngjune Gwon;H. T. Kung
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Gallium nitride;
- Generators;
- Birds;
- Training;
- Image reconstruction;
- Image resolution;
77.Identification of a thermal building model by learning the dynamics of the solar flux

机译：通过学习太阳通量的动力学来识别热建筑模型
- 作者：Tahar Nabil;François Roueff;Jean-Marc Jicquel;Alexandre Girard
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Buildings;
- Temperature measurement;
- Solar radiation;
- Temperature sensors;
- Heating systems;
- Clouds;
- Meteorology;
78.Deep divergence-based clustering

机译：基于深度散度的聚类
- 作者：M. Kampffmeyer;S. L⊘kse;F. M. Bianchi;L. Livi;A.-B. Salberg;R. Jenssen
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Probability density function;
- Machine learning;
- Neural networks;
- Geometry;
- Training;
- Seals;
- Loss measurement;
79.Estimation of interventional effects of features on prediction

机译：估计特征对预测的干预效果
- 作者：Patrick Blöbaum;Shohei Shimizu
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Predictive models;
- Data models;
- Estimation;
- Logistics;
- Feature extraction;
- Blood pressure;
- Heart rate;
80.A deep neural network witharestricted noisy channel for identification of functional introns

机译：具有受限噪声通道的深度神经网络，用于识别功能内含子
- 作者：Alan Joseph Bekker;Michal Chorev;Liran Carmel;Jacob Goldberger
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Noise measurement;
- Training;
- Genomics;
- Biological system modeling;
- Artificial neural networks;
81.Progressive clustering of manifold-modeled data based on tangent space variations

机译：基于切线空间变化的流形模型数据的逐步聚类
- 作者：Gökhan Gökdogan;Elif Vural
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Manifolds;
- Clustering algorithms;
- Clustering methods;
- Signal processing algorithms;
- Robustness;
- Total quality management;
- Euclidean distance;
82.A linear stochastic state space model for electrocardiograms

机译：心电图的线性随机状态空间模型
- 作者：Kimmo Suotsalo;Simo Särkkä
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Mathematical model;
- Adaptation models;
- Electrocardiography;
- Analytical models;
- Acceleration;
- Smoothing methods;
- Signal processing;
83.Gaussian density guided deep neural network for single-channel speech enhancement

机译：高斯密度指导的深度神经网络用于单通道语音增强
- 作者：Li Chai;Jun Du;Yan-nan Wang
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Speech;
- Speech enhancement;
- Noise measurement;
- Training;
- Covariance matrices;
- Signal to noise ratio;
- Linear programming;
84.Adversarial domain separation and adaptation

机译：对抗领域的分离与适应
- 作者：Jen-Chieh Tsai;Jen-Tzung Chien
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Feature extraction;
- Adaptation models;
- Optimization;
- Data mining;
- Loss measurement;
- Training;
85.How can we detect anomalies from subsampled audio signals?

机译：我们如何从子采样音频信号中检测异常？
- 作者：Yohei Kawaguchi;Takashi Endo
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Anomaly detection;
- Time-domain analysis;
- Hidden Markov models;
- Monitoring;
- Layout;
- Spectrogram;
86.Mutual singular spectrum analysis for bioacoustics classification

机译：互奇异谱分析用于生物声学分类
- 作者：Bernardo B. Gatto;Juan G. Colonna;Eulanda M. dos Santos;Eduardo F. Nakamura
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Biomedical acoustics;
- Correlation;
- Matrix decomposition;
- Spectral analysis;
- Eigenvalues and eigenfunctions;
- Trajectory;
- Environmental monitoring;
87.Online function minimization with convex random relu expansions

机译：具有凸随机relu展开的在线函数最小化
- 作者：Laurens Bliek;Michel Verhaegen;Sander Wahls
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Optimization;
- Computational modeling;
- Convex functions;
- Machine learning;
- Noise measurement;
- Bayes methods;
- Data models;
88.An accelerated newton's method for projections onto the ℓ1-ball

机译：ℓ 1 -球投影的加速牛顿法
- 作者：Paul Rodriguez
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Newton method;
- Acceleration;
- Signal processing algorithms;
- Machine learning algorithms;
- Convergence;
- Conferences;
- Signal processing;
89.A two-stage training deep neural network for small pedestrian detection

机译：用于小行人检测的两阶段训练深度神经网络
- 作者：Tran Duy Linh;Arai Masayuki
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Proposals;
- Training;
- Detectors;
- Object detection;
- Machine learning;
- Neural networks;
90.Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity

机译：使用基于脑图谱-图谱的功能连接预测个性化的智商分数
- 作者：Rongtao Jiang;Shile Qi;Yuhui Du;Weizheng Yan;Vince D. Calhoun;Tianzi Jiang;Jing Sui
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Indexes;
91.Automatic plant identification using stem automata

机译：使用茎自动机自动识别植物
- 作者：Kan Li;Ying Ma;José C. Príncipe
- 会议名称：《2017 IEEE 27th International Workshop on Machine Learning for Signal Processing》 | 2017年
- Indexes;