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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Yangyang Shu Shangfei Wang Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei China 230027

ISBN: (纸本)9781509041183

The inherent dependencies among multiple physiological signals are crucial for multimodal emotion recognition, but have not been thoroughly exploited yet. This paper propose to use restricted Boltzmann machine (RBM) to model such ***, the visible nodes of RBM represent EEG and peripheral physiological signals, and thus the connections between visible nodes and hidden nodes capture the intrinsic relations among multiple physiological signals. The RBM generates new representation from multiple physiological signals. Then, a support vector machine is adopted to recognize users' emotion states from the generated features. Furthermore, we extend the proposed fusion method for incomplete datas, since physiological signals are often corrupted due to artifacts. Specifically, we pre-train the RBM using all the complete data, then we update missing values and RBM parameters to minimize free energy of visible vectors using both complete and incomplete data. Experiments on two benchmark databases demonstrate the effectiveness of the proposed methods.

关键词： multimodal emotion recognition RBM EEG peripheral physiological signal missing data

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Privacy-Protected Facial Expression Recognition Augmented by High-Resolution Facial Images

Privacy-Protected Facial Expression Recognition Augmented by...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Cong Liang Shangfei Wang Xiaoping Chen Key Lab of Computing and Communication Software of Anhui Province University of Science and Technology of China Hefei China Anhui Robot Technology Standard Innovation Base University of Science and Technology of China Hefei China

Cloud-based expression recognition from high-resolution facial images may put the subjects’ privacy at risk. We identify two kinds of privacy leakage, the appearance leakage in which the visual appearances of subjects are disclosed and the identity-pattern leakage in which the identity information of subjects is dug out. To address both leakages, we propose privacy-protected facial expression recognition from low-resolution facial images with the help of high-resolution facial images. Specifically, to prevent appearance leakage, we propose to extract identity-invariant representations from downsampled images, from which the visually distinguishable appearances cannot be recovered. To prevent identity-pattern leakage, we propose to eliminate the identity information from the extracted representations by leveraging the disentangled representations of high-resolution images as privileged information. After training, our method can fully capture identity-invariant representations from downsampled images for expression recognition without the requirement of high-resolution samples. These privacy-protected representations can be safely transmitted through the Internet. Experimental results in different scenarios demonstrate that the proposed method protects privacy without significantly inhibiting facial expression recognition.

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FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOTH QUALITATIVE KNOWLEDGE AND QUANTITATIVE DATA

FACIAL ACTION UNIT RECOGNITION BY RELATION MODELING FROM BOT...

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IEEE International Conference on Multimedia and Expo Workshops

作者： Zhen Gao Shangfei Wang Chongliang Wu Jun Wang Qiang Ji Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)9781479947164

In this paper, we propose to capture Action Unit (AU) relations existing in both qualitative knowledge and quantitative data through Credal Networks (CN). Each node of the CN represents an AU lab.l, and the links and probability intervals capture the probabilistic dependencies among multiple AUs. The structure of CN is designed based on prior knowledge. The parameters of CN are learned from both knowledge and ground-truth AU lab.ls. The AU preliminary estimations are obtained by an existing image-driven recognition method. With the learned credal network, we infer the true AU lab.ls by combining the relationships among lab.ls with the previous obtained estimations. Experimental results on the CK+ database and MMI database demonstrate that with complete AU lab.ls, our CN model is slightly better than the Bayesian Network (BN) model, demonstrating that credal sets learned from data can capture uncertainty more reliably;With incomplete and error-prone AU annotations, our CN model outperforms the BN model, indicating that credal sets can successfully capture qualitative knowledge.

关键词： Prior knowledge Credal network AU recognition

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Realistic and real-time simulation of water

Realistic and real-time simulation of water

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International Conference on Computer Science and Information Technology (CSIT)

作者： Xian Wu Lan-fang Dong De-tang Lu University of Science and Technology of China Hefei Anhui CN Anhui Province Key Lab of Software in Computing and Communication Hefei China Institute of Engineering and Science Software University of Science and Technology Hefei China Institute of Engineering and Science Software University of Science and Technology of China Hefei China

A modified physics-based method is adopted to control the water waves, and the discretization of the governing 2D N-S equation is taken as the interaction between the variables in spaces, based on the idea of spreading though the neighboring regions. Meshing model of the water surface is based on a terrain LOD scheme called Tiled Quad-tree. With that the region of water surface can be extended unboundedly. A new controlling strategy is used, that the driving parameters of the water movement is taken separately, so it's easy to change parameters in real time while generating various water waves. Reflection and refraction of rays in water is simulated to improve the visual impression. It is shown that these methods can efficiently produce realistic movement of various water waves in real-time.

关键词： Computational modeling Navier-Stokes equations Animation Layout Automatic control Computer graphics Fluid dynamics Shape control communications technology Control system synthesis

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Capture expression-dependent AU relations for expression recognition

Capture expression-dependent AU relations for expression rec...

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Jun Wang Shangfei Wang Mengdi Huai Chongliang Wu Zhen Gao Yue Liu Qiang Ji Key Lab of Computing and Communication Software of Anhui Province University of Science and Technology of China Hefei Anhui P.R.China University of Science and Technology of China Hefei Anhui CN Department of Electrical Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)9781479947164

To date, there is only limited research that explicitly exploits the relationships among Action Units and expressions for facial expression recognition. In this paper, we propose an facial expression recognition method through modeling the expression-dependent AU relations. First, the incremental association Markov blanket algorithm is adopted to select crucial action units for a certain expression. Second, a Bayesian Network (BN) is constructed to capture the relationships between a certain expression and its crucial action units. Given the learned BNs and measurements of AUs and expression, we can then perform expression recognition within the BN through a probabilistic inference. Experimental results on the CK+ and MMI databases demonstrate the effectiveness and generalization ability of our method.

关键词： Gold Markov processes Databases Training Accuracy Face recognition Bayes methods

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Secrecy Analysis of UAV Control Information Transmission via NOMA

Secrecy Analysis of UAV Control Information Transmission via...

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IEEE Conference on Wireless communications and Networking

作者： Zhaoxin Feng Huabing Lu Nan Zhao Zhaoyuan Shi Yunfei Chen Xianbin Wang School of Information and Communication Engineering Dalian University of Technology Dalian China Key Lab. of Intelligent Perception and Computing of Anhui Province Anqing Normal University Anqing China Department of Engineering University of Durham Durham UK Department of Electrical and Computer Engineering Western University London ON Canada

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Unmanned aerial vehicle (UAV) assisted wireless communication is essential for the next-generation mobile networks. In coping with the increased dynamics in UAV networks, the design of control information transmission is essential, requiring ultra reliability, low latency, and high security. In this paper, considering both the large-scale path loss and the Nakagami-m small-scale fading, we investigate the secrecy performance of UAV control information transmission in a NOMA ground-air network with an external flying eavesdropper. A spherical secrecy protection zone is set, and the closed-form expressions for average secure BLER and average achievable secrecy throughput are derived. After that, the asymptotic performance in the high SNR regime is analyzed to get more insights. Ultimately, simulation results verify the accuracy of analysis.

关键词： Wireless communication NOMA Accuracy Simulation Information processing Autonomous aerial vehicles Throughput

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Method for lab.r scheduling in multi-skill call centers

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2007年第7期41卷 1169-1175页

作者： Wu, Jia-Ji Huang, Liu-Sheng Wu, Jun-Min Wang, Pei Yang, Zhou-Wang Dept. of Computer Science Univ. of Science and Technology of China Hefei 230027 China Anhui Province Key Lab. of Software in Computing and Communication Hefei 230027 China Dept. of Mathematics Univ. of Science and Technology of China Hefei 230026 China

This paper extended the set-covering model for single-skill call centers, proposed by Dantzig, to handle multi-skill cases. First is solves the staffing level of each period for each skill, using the classical formulas in queueing system theory;second, it decomposes a multi-skill agent to a combination of single-skill agents in every period;and then it models the shift scheduling problem in a linear programming framework. The new model makes the most use of the flexibility of multi-skill agents. The experiments show that by the proposed model, solutions of high performance can be found stably in a short period of time, which are acceptable in practice. The solutions provide informative guidance for overall planning of the call center. The solutions also provide a new way to deal with the call routing problem.

关键词： Information services

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第Sup1期17卷 54-54页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego CA USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories 2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan Krembil Research Institute University Health Network Toronto ON M5T 2S8 Canada Department of Physiology University of Toronto Toronto ON M5S 1A8 Canada Department of Medicine (Neurology) University of Toronto Toronto ON M5T 2S8 Canada Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest 1121 Hungary Department of Mathematical Sciences KAIST Daejoen 34141 Republic of Korea Department of Mathematics University of Houston Houston TX 77004 USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston TX 77005 USA Department of Biology and Biochemistry University of Houston Houston TX 77004 USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles CA USA Center for Neuroscience Korea Institute of Science and Technology Hwarang-ro 14-gil 5 Seongbuk-gu Seoul 02792 South Korea Department of Neuroscience University of Science and Technology 217 Gajeong-ro Yuseong-gu Daejon 34113 South Korea Department of Psychology Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul 03722 South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong 892 Dongnam-ro Gangdong-gu Seoul 05278 South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton MA 02301 USA Center for Neural Science New York University New York NY 10003 USA Courant Institute

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词： NEUROSCIENCES PATHOLOGICAL psychology DENDRITES

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