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Asia-Pacific signal and Information processing Association Annual Summit and Conference (APSIPA)

作者： Bo Wu Kehuang Li Minglei Yang Chin-Hui Lee National Laboratory of Radar Signal Processing Xidian University Xi'an China School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA Xidian University Xian Shaanxi CN

ISBN: (纸本)9781509024018

We investigate the effects of time and frequency sampling on short-time Fourier transform modifications to be used for speech dereverberation based on deep neural networks (DNNs). We first show that by adopting a linear activation function at the output layer and globally normalizing the target features into zero mean and unit variance, better performances can be obtained than existing DNN approaches. Then we show that the quality of dereverberated speech could be degraded with denser sampling in time for longer reverberation times, even at the price of increased computational complexities, requiring an adaptive time sampling strategy. On the other hand, the difference between the unwrapped phases of reverberant and anechoic speech becomes negligible with a dense sampling in frequency, implying a reduced speech distortion. Therefore, there is a great potential to enhance DNN based acoustic signal processing if the conventional sampling strategy can be carefully adjusted.

关键词： Speech Time-frequency analysis Reverberation Training Discrete Fourier transforms

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A Combined Feature Representation of Deep Feature and Hand-crafted Features for Person Re-identification

A Combined Feature Representation of Deep Feature and Hand-c...

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Youjiao Li Li Zhuo Xiaochen Hu Jing Zhang Signal & Information Processing Laboratory Beijing University of Technology Department of Computer Science and Technology Shandong University of Technology Collaborative Innovation Center of Electric Vehicles in Beijing

Person re-identification is one of the hot topics in computer vision. How to design a robust feature representation to identify pedestrians is a key problem for person reidentification. In this paper, a feature representation based on Multi-Statistics Cascade on Pyramid(MSCP) is proposed for person re-identification. The MSCP feature is composed of deep PCA network feature and hand-crafted features of Local Maximal Occurrence(LOMO) feature and color *** can characterize the pedestrian images precisely from both global and local views. The Cross-view Quadratic Discriminant Analysis(XQDA) is employed to learn the distance metric of MSCP features. And then a novel re-identification method based on MSCP and XQDA is achieved. Experimental results on VIPeR Dataset demonstrate that our proposed method can achieve superior identification performance compared with six state-of-art methods.

关键词： person re-identification Multi-Statistics Cascade on Pyramid deep feature hand-crafted feature

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Image-based characterization of the pulp flows

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Pattern Recognition and Image Analysis 2016年第3期26卷 630-637页

作者： Sorokin, M. Strokina, N. Eerola, T. Lensu, L. Karttunen, K. Kalviainen, H. Machine Vision and Pattern Recognition Laboratory School of Engineering Science Lappeenranta University of Technology PO Box 20 LappeenrantaFI-53851 Finland Computer Vision Group Department of Signal Processing Tampere University of Technology PO Box 527 TampereFI-33101 Finland Cemis-Oulu Unit of Measurement Technology Kajaani University Consortium University of Oulu PO Box 127 KajaaniFI-87400 Finland School of Information Technology Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor Darul Ehsan46150 Malaysia

Material flow characterization is important in the process industries and its further automation. In this study, close-to-laminar pulp suspension flows are analyzed based on double-exposure images captured in laboratory conditions. The correlation-based methods including autocorrelation and the particle image pattern technique were studied. During the experiments, synthetic and real test data with manual ground truth were used. The particle image pattern matching method showed better performance achieving the accuracy of 90.0% for the real data set with linear motion of the suspension and 79.2% for the data set with flow distortions. © 2016, Pleiades Publishing, Ltd.

关键词： Pattern matching

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Event-triggered PCS based Control for Discrete Tracking:Trade-off between Network Bandwidth and Tracking Performance

Event-triggered PCS based Control for Discrete Tracking:Trad...

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第28届中国控制与决策会议

作者： Chengcheng Song Haoping Wang Yang Tian Sino-French Int.J.Laboratory of Automatic Control and Signal Processing(LaFCAS) Automation SchoolNanjing University of Science & Technology

ISBN: (纸本)9781467397155

A proposed method for discrete tracking based on piecewise continuous systems(PCS) is applied to network control *** kinds of event-triggered mechanism(ETM),including linear combination of state error and reference trajectory error based mechanism and predicted tracking error based mechanism,are combined with the PCS controller respectively pointing at a linear time-invariant system with disturbances for saving network bandwidth where discrete detect is adopted.A trade-off can be made between the tracking performance and the number of transmissions by changing some *** of event-triggered control system can be realized by *** comparison between the two kinds ETM and the periodic time-triggered mechanism(P-TTM) is conducted via a numerical ***,the mainstream ETM is also studied in simulation to compare with the two proposed ETM in this paper.

关键词： Discrete tracking PCS Network control systems ETM Bandwidth Discrete detect

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Elastic scattering coefficients

Elastic scattering coefficients

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Mathematics in Imaging, MATH 2016

作者： Hu, Guanghui Wahab, Abdul Ye, Jong Chul Weierstrass Institute of Applied Analysis and Stochastics Mohrenstr. 39 Berlin10117 Germany Bio Imaging and Signal Processing Laboratory Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon305-701 Korea Republic of

The notion of elastic scattering coefficients (ESC) is introduced to address a broad range of inverse scattering and imaging problems in elastic media. The link between scattering amplitudes and ESC of small inclusion... 详细信息

ISBN: (纸本)9781943580156

关键词： Elastic scattering

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Lq regularization method for spaceborne SCANSAR and TOPS SAR Imaging 11

Lq regularization method for spaceborne SCANSAR and TOPS SAR...

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11th European Conference on Synthetic Aperture radar, EUSAR 2016

作者： Bi, Hui Zhang, Bingchen Zhu, Xiao Xiang Jiang, Chenglong Wei, Zhonghao Hong, Wen University of Chinese Academy of Sciences Science and Technology on Microwave Imaging Laboratory Chinese Academy of Sciences China Institute of Electronics Chinese Academy of Sciences China Signal Processing in Earth Observation Technical University of Munich and Remote Sensing Technology Institute German Aerospace Center Germany Shanghai Radio Equipment Research Institute China

SCANSAR and TOPS SAR are two typical wide swath modes, which increase the swath by periodically switching the incidence angle of antenna among different subswath from near to far range. Sparse signal processing techni... 详细信息

关键词： Synthetic aperture radar

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An Improved Heuristic Method for Subgraph Isomorphism Problem

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IOP Conference Series: Materials science and Engineering 2017年第1期231卷

作者： Yingzhuo Xiang Jiesi Han Haijiang Xu Xin Guo National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China Jiangnan Institute of Computing Technology Wuxi China School of Mathematical Sciences of UESTC Chengdu China

This paper focus on the subgraph isomorphism (SI) problem. We present an improved genetic algorithm, a heuristic method to search the optimal solution. The contribution of this paper is that we design a dedicated crossover algorithm and a new fitness function to measure the evolution process. Experiments show our improved genetic algorithm performs better than other heuristic methods. For a large graph, such as a subgraph of 40 nodes, our algorithm outperforms the traditional tree search algorithms. We find that the performance of our improved genetic algorithm does not decrease as the number of nodes in prototype graphs.

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Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion

Removal of EEG artifacts for BCI applications using fully Ba...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Yu Zhang Qibin Zhao Guoxu Zhou Jing Jin Xingyu Wang Andrzej Cichocki Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology China Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Skolkowo Institute of Science and Technology Moscow Russia

High accuracy of electroencephalogram (EEG) classification can hardly be achieved if the signals are contaminated by severe artefacts. One helpless way to avoid such artefacts is usually to directly discard the severely disturbed EEG segments. This study considers a more elegant way that tries to recover the disturbed segments from other undisturbed segments. The possible artefacts in EEG are treated as missing values. A Bayesian tensor factorization (BTF) based method is proposed to implement EEG completion for artefact removal. By specifying a sparsity-inducing hierarchical prior, the underlying low-rank tensor is discovered from incomplete EEG tensor with automatically inferred model parameters. The EEG missing values are effectively predicted with robustness to overfitting. Effectiveness of the BTF algorithm is demonstrated on EEG data recorded from seven subjects in a brain-computer interface paradigm based on event-related potentials.

关键词： Electroencephalography Tensile stress Bayes methods Brain modeling Feature extraction Brain-computer interfaces Electric potential

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Detecting coordinated regulations of pathways by higher logic analysis

Detecting coordinated regulations of pathways by higher logi...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yansen Su Xingyi Zhang Linqiang Pan Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781509016129

Non-small cell lung cancer (NSCLC) is a malignant tumor, and contains three major subtypes which are difficult to be distinguished at early stages of NSCLC. Many pathways work together to perform certain functions in cells. One might expect the high level of co-appearance or repression of pathways to distinguish different subtypes of NSCLC. However, it is difficult to detect coordinated regulations of pathways by existing methods. In our work, the coordinated regulations of pathways are detected using modified higher logic analysis of gene expression data. Specifically, we identify the genes whose regulation obeys a logic function by the modified higher logic analysis, which focuses on the relationships among the gene triplets that are not evident when genes are examined in a pairwise fashion. Then, the relationships among genes are mapped to pathways to predict the coordinated regulated relationships among pathways. By comparing coordinated regulations of pathways, we find that the regulation patterns of pathways which are associated with cell death are different in three subtypes of NSCLC. This method allows us to uncover co-appearance or repression of pathways in high level, and it has a potential to distinguish the subtypes for complex diseases.

关键词： Cancer Lungs

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Convex cone volume analysis for finding endmembers in hyperspectral imagery

Convex cone volume analysis for finding endmembers in hypers...

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作者： Chang, Chein-I Xiong, Wei Chen, Shih-Yu Information and Technology College Dalian Maritime University Dalian China School of Physics and Optoelectronic Engineering Xidian University Xian China Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County BaltimoreMD21250 United States Department of Computer Science and Information Management Providence University Taichung Taiwan Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

This paper presents a new approach, called convex cone volume analysis (CCVA), which can be considered as a partially constrained-abundance (abundance non-negativity constraint) technique to find endmembers. It can be shown that finding the maximal volume of a convex cone in the original data space is equivalent to finding the maximal volume of a simplex in a hyperplane. As a result, the CCVA can take advantage of many recently developed fast computational algorithms developed for N-FINDR to derive their counterparts for CCVA. © Copyright 2016 Inderscience Enterprises Ltd.

关键词： Spectroscopy

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