IEEE MLSP 2020 | IEEETV

Mon, 21 September, 2020

IEEE MLSP 2020 Virtual Workshop Presentations

Showing 1 - 50 of 82

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PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation

0:14:09

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Robust reconstruction with nonconvex subset constraints: a polynomial optimization approach

0:13:52

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AERIAL SPECTRUM SURVEYING: RADIO MAP ESTIMATION WITH AUTONOMOUS UAVS

0:15:01

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COLLISION-FREE UAV NAVIGATION WITH A MONOCULAR CAMERA USING DEEP REINFORCEMENT LEARNING

0:13:36

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Fast Variational Learning in State-Space Gaussian Process Models

0:11:29

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DIFFUSION FIELD ESTIMATION USING DECENTRALIZED KERNEL KALMAN FILTER WITH PARAMETER LEARNING OVER HIERARCHICAL SENSOR NETWORKS

0:14:18

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Exact O(n^2) Hyper-Parameter Optimization for Gaussian Process Regression

0:12:15

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Non-linearities in Gaussian processes with integral observations

0:12:05

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On the Adversarial Robustness of Linear Regression

0:12:38

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Sequential Heterogeneous Feature Selection for Multi-class Classification: Application in Government 2.0

0:14:22

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Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood

0:12:27

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PERFORMANCE-COMPLEXITY TRADE-OFF IN LARGE DIMENSIONAL STATISTICS

0:12:39

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First-order optimization for superquantile-based supervised learning

0:14:45

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Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators

0:14:56

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On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases

0:13:08

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On the Adversarial Robustness of Feature Selection Using LASSO

0:12:59

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SCAD-Penalized Complex Gaussian Graphical Model Selection

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Deep Blind One-Bit Signal Recovery

0:13:55

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iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems

0:12:17

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Anomaly location detection with electrical impedance tomography using multilayer perceptrons

0:15:06

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Blind hierarchical deconvolution

0:14:38

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INFERENCE OF PROTEIN-PROTEIN INTERACTION NETWORKS FROM LIQUID-CHROMATOGRAPHY MASS-SPECTROMETRY DATA BY APPROXIMATE BAYESIAN COMPUTATION-SEQUENTIAL MONTE CARLO SAMPLING

0:14:41

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Online tensor low-rank representation for streaming data

0:11:48

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Learning General Transformations of Data for Out-of-Sample Extensions

0:12:55

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Adversarial Attacks on Hierarchical Composite Classifiers via Convex Programming

0:13:03

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Secure Federated Averaging Algorithm with Differential Privacy

0:13:51

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Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes

0:14:59

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Distributed Blind Deconvolution of Seismic Signals under Sparsity Constraints in Sensor Networks

0:14:42

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Graph Learning from Multi-Attribute Smooth Signals

0:12:59

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VISIBLE LIGHT-BASED ROBUST POSITIONING UNDER DETECTOR ORIENTATION UNCERTAINTY: A GABOR CONVOLUTIONAL NETWORK-BASED APPROACH EXTRACTING STABLE TEXTURE FEATURES

0:14:09

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Graph topology inference benchmarks for machine learning

0:13:32

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Electrical impedance tomography, enclosure method \\and machine learning

0:13:45

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Bandit-Based Relay Selection in Cooperative Networks over Unknown Stationary Channels

0:14:20

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A Neural Network-Aided Viterbi Receiver for Joint Equalization and Decoding

0:13:19

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Unsupervised acoustic condition monitoring with Riemannian geometry

0:14:40

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Online Supervised Acoustic System Identification exploiting Prelearned Local Affine Subspace Models

0:13:23

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Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

0:13:22

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Globally Optimal Robust Matrix Completion Based on M-estimation

0:14:56

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Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications

0:15:43

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Parameter estimation in non-linear state-space models by automatic differentiation of non-linear Kalman filters

0:12:26

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Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions

0:12:59

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Pulse ID: The Case for Robustness of ECG as a Biometric Identifier

0:14:15

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AutoClip: Adaptive Gradient Clipping for Source Separation Networks

0:09:21

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Feature Projection-Based Unsupervised Domain Adaptation for Acoustic Scene Classification

0:14:42

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Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding

0:14:11

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Determined Audio Source Separation with Multichannel Star Generative Adversarial Network

0:16:14

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A BAYESIAN HIERARCHICAL MIXTURE OF GAUSSIAN MODEL FOR MULTI-SPEAKER DOA ESTIMATION AND SEPARATION

0:14:33

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Double JPEG Compression Detection for Distinguishable Blocks in Images Compressed with Same Quantization Matrix

0:12:47

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CONVOLUTIONAL RECURRENT NEURAL NETWORK BASED DIRECTION OF ARRIVAL ESTIMATION METHOD USING TWO MICROPHONES FOR HEARING STUDIES

0:15:01

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Towards an Explainable Mortality Prediction Model

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