IEEE ICASSP 2020 Virtual Conference May 2020

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  • Neural Attentive Multiview Machines

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    An important problem in multiview representation learning is finding the optimal combination of views with respect to the specific task at hand. To this end, we introduce NAM: a Neural Attentive Multiview machine that learns multiview item representations
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Sound event detection (SED) and acoustic scene classification (ASC) are major tasks in environmental sound analysis. Considering that sound events and scenes are closely related to each other, some works have addressed joint analyses of sound events and a
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  • Indoor Heading Direction Estimation Using Rf Signals

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    Heading direction information is crucial to many ubiquitous computing applications. The main stream has been resort- ing to inertial sensors, such as accelerometer, gyroscope and magnetometer, which suffer from severe accumulative errors or large degradat
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  • A Wifi-Based Passive Fall Detection System

    00:12:47
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    Fall detection systems based on WiFi signals are gaining popularity recently. However, most of the existing works relying on training are environment-dependent. In this paper, we propose DeFall, a novel WiFi-based environment-independent fall detection sy
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  • A Real-Time Deep Network For Crowd Counting

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    Automatic analysis of highly crowded people has attracted extensive attention from computer vision research. Previous approaches for crowd counting have already achieved promising performance across various benchmarks. However, to deal with the real situa
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  • Multi-Scale Residual Network For Image Classification

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    Multi-scale approach representing image objects at various levels-of-details has been applied to various computer vision tasks. Existing image classification approaches place more emphasis on multi-scale convolution kernels, and overlook multi-scale featu
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  • Sparse Modeling On Distributed Encryption Data

    00:11:30
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    Big-data analysis by edge/cloud systems is becoming more important. However, when information may lead to personal identification, such information tends to be encrypted and restricted to its owners to ensure privacy protection. The resulting data is ofte
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  • Robust Music Estimation Under Array Response Uncertainty

    00:11:48
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    This paper addresses the problem of bearing estimation with partial knowledge on the array response. In a real life scenario, it may seem fictitious to assume a closed-form steering vector as a function of the direction of the received signal. Indeed, an
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