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arXiv 2019年

作者： Shi, Zhenhua Chen, Xiaomo Zhao, Changming He, He Stuphorn, Veit Wu, Dongrui Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Zanvyl Krieger Mind and Brain Institute Johns Hopkins University School of Medicine Department of Neurobiology Stanford University StanfordCA United States Department of Neuroscience Johns Hopkins University BaltimoreMD United States

Multi-view learning improves the learning performance by utilizing multi-view data: data collected from multiple sources, or feature sets extracted from the same data source. This approach is suitable for primate brain state decoding using cortical neural signals. This is because the complementary components of simultaneously recorded neural signals, local field potentials (LFPs) and action potentials (spikes), can be treated as two views. In this paper, we extended broad learning system (BLS), a recently proposed wide neural network architecture, from single-view learning to multi-view learning, and validated its performance in monkey oculomotor decision decoding from medial frontal LFPs and spikes. We demonstrated that medial frontal LFPs and spikes in non-human primate do contain complementary information about the oculomotor decision, and that the proposed multi-view BLS is a more effective approach to classify the oculomotor decision, than several classical and state-of-the-art single-view and multi-view learning approaches. Copyright © 2019, The Authors. All rights reserved.

关键词： Electrophysiology

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Probabilistic Adaptive Genetic Algorithm for Pre-treatment Radiomics Features Predict Patient Survival

Probabilistic Adaptive Genetic Algorithm for Pre-treatment R...

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2018 International Conference on Computer, Communications and Mechatronics Engineering（CCME 2018）

作者： Xiao-ying PAN Ting ZHANG Qing-ping YANG Liu CHEN School of Computer Science and Technology Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Intelligent Processing Xi'an University of Posts and Telecommunications

In order to provide personalized treatment for patients with tongue carcinoma, a probabilistic adaptive genetic algorithm neural network(PAGA-BP) model is proposed in this paper. The PAGA-BP model ameliorates selection sorting operator, adaptive crossover operator and u-adaptive mutation operator to optimize the initial weight of BP neural network. By comparing with traditional GA-BP neural network and BP neural network survival prediction model, the results show that PAGA-BP prediction model has the highest approximation accuracy and better survival period prediction.

关键词： PGA-BP neural network Radiomics features Survival Prediction

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A Novel Multiple-traces Electric Field/Combined Field Integral Equation for Electromagnetic Modeling of Microstrip Objects

A Novel Multiple-traces Electric Field/Combined Field Integr...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Yv Long Wang Ran Zhao Zhi Xiang Huang Jun Hu Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronic Engineering University of Electronic Science and Technology of China (UESTC)

In this paper, a new multiple-traces electric field/combined field integral equation (MT-EF/CFIE) is proposed for the electromagnetic modeling of microstrip objects. Different from traditional EFIE-PMCHWT method, this new multiple-traces method decomposes the original microstrip object into two independent domains i.e., the exterior region (free space) and interior region (microstrip), and enforces the Robin transmission conditions (TCs) on the interface between exterior and interior regions to ensure the continuity of fields. In comparison to the traditional EFIE-PMCHWT, this new MT-EF/CFIE has a better convergence property. Because the continuity of fields is ensured by TCs, the exterior and interior regions can be discretized by non-conformal meshes, which improves the flexibility and efficiency of the proposed methods substantially.

关键词： Microstrip Microstrip antenna arrays Dielectrics Integral equations Electromagnetic scattering Convergence

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Affect estimation in 3d space using multi-task active learning for regression

arXiv

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arXiv 2018年

作者： Wu, Dongrui Huang, Jian Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China

—Acquisition of labeled training samples for affective computing is usually costly and time-consuming, as affects are intrinsically subjective, subtle and uncertain, and hence multiple human assessors are needed to evaluate each affective sample. Particularly, for affect estimation in the 3D space of valence, arousal and dominance, each assessor has to perform the evaluations in three dimensions, which makes the labeling problem even more challenging. Many sophisticated machine learning approaches have been proposed to reduce the data labeling requirement in various other domains, but so far few have considered affective computing. This paper proposes two multi-task active learning for regression approaches, which select the most beneficial samples to label, by considering the three affect primitives simultaneously. Experimental results on the VAM corpus demonstrated that our optimal sample selection approaches can result in better estimation performance than random selection and several traditional single-task active learning approaches. Thus, they can help alleviate the data labeling problem in affective computing, i.e., better estimation performance can be obtained from fewer labeling queries. Copyright © 2018, The Authors. All rights reserved.

关键词： Regression analysis

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Kernelized convex hull for visual tracking 5

Kernelized convex hull for visual tracking

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2017 International Conference on Progress in Informatics and Computing(PIC)

作者： Jun Wang Yuanyun Wang Chengzhi Deng Shengqian Wang Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing Nanchang Institute of Technology School of Information Engineering Nanchang Institute of Technology

ISBN: (纸本)9781538619797;9781538619780

In visual tracking, developing a robust appearance model is a challenging task due to variations of object appearances such as background clutter, illumination variation and partial occlusion. In existing tracking algorithms, a target candidate is represented by linear combinations of target ***, the relationship between a target candidate and the corresponding target templates is nonlinear because of appearance variations. In this paper, we propose a kernelized convex hull based target representation for visual tracking. Namely, a target is represented by a nonlinear combination of target templates in a mapped higher dimensional feature space. The convex hull model can covers the target appearances that do not appear in the target templates. Experimental results demonstrate the robustness and effectiveness of the proposed tracking algorithm against several state-of-the-art tracking algorithms.

关键词： Visual tracking Kernel Convex hull Appearance model

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A Feature Matching Method For Simultaneous Localization And Mapping 2

A Feature Matching Method For Simultaneous Localization And ...

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2017 IEEE 2nd Information technology, Networking, Electronic and Automation Control Conference (ITNEC 2017)

作者： Chen Xiangkui Jiang Min Zuo Liangyu Jiang jian College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

ISBN: (纸本)9781509064151;9781509064144

Simultaneous Localization and Mapping is an important technology which help a mobile robot to determine its location and build the environment map. Recently, the RGBD sensor is widely used in the robot, research on RGBD-SLAM becomes a hot topic. In order to calculate the movement parameters of robot, feature matching is adopted to register the two adjacent RGBD images in the video stream. This paper proposed an improved feature matching method for RGBDSLAM. The experiment results show that, compared with the traditional SIFT feature matching methods for RGBD-SLAM,the performance of the proposed method is improved significantly.

关键词： Simultaneous Localization and Mapping Feature Matching SIFT FREAK

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Design and Implementation of Carrier Detection System Based on FPGA

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Journal of Physics: Conference Series 2020年第4期1624卷

作者： Xian Zhang Taiguo Qu Yiwen Liu Dong Yin Shaowei Deng School of Computer Science and Engineering Huaihua University Huaihua 418000 Hunan P. R. China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua 418000 Hunan P. R. China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua 418000 Hunan P. R. China

In order to better monitor and manage the signal transmission in the communication system and base station, and carrier detection is more effective. This paper designs a carrier(Carrier frequency) detection system based on FPGA, including system design requirements, FPGA selection, system framework design, carrier detection method design and so on. The performance indexes of the system are tested, such as carrier frequency range, carrier search time, carrier detection number and CPU consumption rate. The system has the advantages of high flexibility and good portability, and has a good application prospect in communication system, base station and other equipment.

关键词：

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Research on Chinese Semantic Role Labeling with Hierarchical Syntactic Clues

Research on Chinese Semantic Role Labeling with Hierarchical...

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作者： Yicheng Wang Fucheng Wan Ning Ma Ding Liu Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Key Laboratory of China's Ethnic Languages and Intelligent Processing of Gansu Province Northwest Minzu University

As a key task in the process of natural language understanding,semantic role labeling has been widely used in the field of natural language processing at a higher level,such as information extraction,text analysis and machine *** paper adopts the current mainstream semantic character annotation method based on syntactic tree analysis,proposes a Chinese semantic role labeling method that integrates hierarchical syntactic cues,and implements a hierarchical annotation model based on conditional random field *** the basis of the model,the influence of different syntactic features on system performance is *** feature sets are formulated for verb predicate and noun predicate respectively,and the contribution of each feature to the system is *** experimental results show that the introduction of phrase syntax analysis can effectively improve the recognition effect of semantic *** results obtained in this study have a good reference value for future research.

关键词： Semantic Role Labeling Phrase Syntax Analysis Syntactic Clue Conditional Random Field

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Robust PolInSAR optimal interferogram estimation method based on generalized scattering vector

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Journal of Systems Engineering and Electronics 2017年第3期28卷 457-471页

作者： Zhiyong Suo Ming Li National Lab of Radar Singal Processing Xidian UniversityXi’an 710071China Beijing Aerospace Automatic Control Institute Beijing 100854China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing 100854China

For the polarimetric synthetic aperture radar interferometry (PoIInSAR) processing, it is necessary to coregister all the images, including the coregistration of polarimetric SAR images and the coregistration of interferometric SAR images. Otherwise, the performance of the estimated optimal interferograms will be deteriorated. A generalized scattering vector (GSV) model is proposed to execute the PoIInSAR optimal interferograms estimation. The generalized scattering vector is constructed by the Pauli scattering vectors of the processing pixel and the surrounding pixels. Even though there are coregistration errors, all the polarimetric information of the current processing pixel is entirely included in the generalized scattering vector. Therefore, the GSV-based method can automatically recover the optimal scattering mechanisms of the processing pixel with coregistration errors either in interferoemetric channels or polarimetric channels. Theoretical analysis and processing results of simulated PoISARPro data and real PALSAR data validate the effectiveness and correctness of the proposed method.

关键词： polarimetric synthetic aperture radar interferometry (PoIInSAR) generalized scattering vector (GSV) optimal interferogram coregistration error Pauli basis

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Visual Tracking Algorithm Based on Color Name Histogram

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IOP Conference Series: Materials Science and Engineering 2020年第1期790卷

作者： Chenchen Yue Wangsheng Yu Zhiqiang Hou Sugang Ma College of Computer Science and Technology Xi'an University of Posts and Telecommunications Xi'an China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an China Information and Navigation Institute of Air Force Engineering University Xi'an 710077 China

Aimed at the problem that traditional histogram is sensitive to illumination changes in visual tracking, combined with the CN(Color Name) feature, we proposed a new feature(denotes CNH, Color Name Histogram) based on color name. Firstly, the method projected the original RGB image to CN space to obtain robust 11 feature layers. Then, we counted the each pixel numbers of feature layers. Finally, normalizing the amount of pixels in each layer. In addition, we adopted a feature adaptive fusion method to combine CNH and HOG(Histogram of Oriented Gradient). In order to prove validity of the proposed algorithm, we use Staple(Sum of Template And Pixel-wise Learners) algorithm frame to make a controlled trial. In contrast with the reference algorithms, the success of our algorithm increases by 1.5% and the precision increases by 1.7%. The results show that this method retains the advantages of traditional histogram which is insensitive to target deformation, but also enhances the robustness to illumination change.

关键词：

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