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ORCID30th MLSP 2020: Espoo, Finland
- 30th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2020, Espoo, Finland, September 21-24, 2020. IEEE 2020, ISBN 978-1-7281-6662-9
- Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach. 1-6 - Yiwei Li
, Tsung-Hui Chang, Chong-Yung Chi:
Secure Federated Averaging Algorithm with Differential Privacy. 1-6 - Luis Albert Zavala-Mondragón, Danny Ruijters, Peter van de Haar, Peter H. N. de With, Fons van der Sommen:
Dual-Energy CBCT Pre-Spectral-Decomposition Filtering with Wavelet Shrinkage Networks. 1-6 - Esa Ollila, Ammar Mian:
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. 1-6 - Thomas Haubner, Andreas Brendel, Walter Kellermann:
Online Supervised Acoustic System Identification Exploiting Prelearned Local Affine Subspace Models. 1-6 - Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya:
Self-Compression in Bayesian Neural Networks. 1-6 - Ville Tanskanen, Krista Longi, Arto Klami:
Non-Linearities in Gaussian Processes with Integral Observations. 1-6 - Li Li, Hirokazu Kameoka, Shoji Makino:
Determined Audio Source Separation with Multichannel Star Generative Adversarial Network. 1-6 - Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin:
Fast Variational Learning in State-Space Gaussian Process Models. 1-6 - Jitendra K. Tugnait:
Graph Learning from Multi-Attribute Smooth Signals. 1-6 - Maria Tzelepi, Anastasios Tefas:
Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. 1-6 - Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Performance-Complexity Trade-Off in Large Dimensional Statistics. 1-6 - Dariush Salami, Sameera Palipana, Manila Kodali, Stephan Sigg:
Motion Pattern Recognition in 4D Point Clouds. 1-6 - Felicia Ruppel, Michael Muma, Abdelhak M. Zoubir:
Globally Optimal Robust Matrix Completion Based on M-Estimation. 1-6 - Yun Chen, Nuria González Prelcic, Robert W. Heath Jr.:
Collision-Free UAV Navigation with a Monocular Camera Using Deep Reinforcement Learning. 1-6 - Ismail Alkhouri, George K. Atia:
Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming. 1-6 - Daniel Romero, Raju Shrestha, Yves Teganya, Sundeep Prabhakar Chepuri:
Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs. 1-6 - Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill:
Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model. 1-6 - Xiuming Liu, Dave Zachariah, Edith C. H. Ngai:
Approximate Gaussian Process Regression and Performance Analysis Using Composite Likelihood. 1-6 - Nikolaos Nomikos, Sadegh Talebi, Risto Wichman, Themistoklis Charalambous:
Bandit-Based Relay Selection in Cooperative Networks Over Unknown Stationary Channels. 1-6 - Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. 1-6 - Perttu Hämäläinen, Amin Babadi, Xiaoxiao Ma, Jaakko Lehtinen:
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation. 1-6 - Tong Wu:
Online Tensor Low-Rank Representation for Streaming Data. 1-6 - Shengdi Wang, Ban-Sok Shin, Dmitriy Shutin, Armin Dekorsy:
Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks. 1-6 - Fuwei Li, Lifeng Lai, Shuguang Cui:
On the Adversarial Robustness of Feature Selection Using LASSO. 1-6 - Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. 1-6 - Richard Schoonhoven, Jan-Willem Buurlage, Daniël Maria Pelt, Kees Joost Batenburg:
Real-time segmentation for tomographic imaging. 1-6 - Ali Aroudi, Marc Delcroix, Tomohiro Nakatani, Keisuke Kinoshita, Shoko Araki, Simon Doclo:
Cognitive-Driven Convolutional Beamforming Using EEG-Based Auditory Attention Decoding. 1-6 - Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy:
Learning General Transformations of Data for Out-of-Sample Extensions. 1-6 - Akash Kumar Dhaka, Michael Riis Andersen, Pablo Garcia Moreno, Aki Vehtari:
Scalable Gaussian Process for Extreme Classification. 1-6 - Abdullah Küçük, Issa M. S. Panahi:
Convolutional Recurrent Neural Network Based Direction of Arrival Estimation Method Using Two Microphones for Hearing Studies. 1-6 - Jakob Lindqvist, Amanda Olmin, Fredrik Lindsten, Lennart Svensson:
A General Framework for Ensemble Distribution Distillation. 1-6 - Hanwook Chung, Vikrant Singh Tomar, Benoît Champagne:
Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation. 1-6 - Samuli Siltanen, Takanori Ide:
Electrical Impedance Tomography, Enclosure Method and Machine Learning. 1-6 - Shane D. Sims:
Frequency Domain-Based Perceptual Loss for Super Resolution. 1-6 - Linning Xu, Yijue Dai, Jiawei Zhang, Ceyao Zhang, Feng Yin:
Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression. 1-6 - Ban-Sok Shin, Dmitriy Shutin:
Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks. 1-6 - Y. Cem Sübakan, Maxime Gasse, Laurent Charlin:
On the Effectiveness of Two-Step Learning for Latent-Variable Models. 1-6 - Bianca Iancu, Luana Ruiz, Alejandro Ribeiro, Elvin Isufi:
Graph-Adaptive Activation Functions for Graph Neural Networks. 1-6 - Ruida Huang, Xu Chen:
Deep Blind One-Bit Signal Recovery. 1-6 - Abhinav Narayan Harish, Vinay Verma, Nitin Khanna:
Double JPEG Compression Detection for Distinguishable Blocks in Images Compressed with Same Quantization Matrix. 1-6 - Alex Labach, Shahrokh Valaee:
Regularizing Neural Networks by Stochastically Training Layer Ensembles. 1-6 - Imara Nazar, Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Sequential Heterogeneous Feature Selection for Multi-Class Classification: Application in Government 2.0. 1-6 - Corinne Jones, Zaïd Harchaoui:
End-to-End Learning for Retrospective Change-Point Estimation. 1-6 - Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Robust Classification Using Hidden Markov Models and Mixtures of Normalizing Flows. 1-6 - Chong Wang, Wei Liu, Mengdi Jiang:
A Unified Approach for Target Direction Finding Based on Convolutional Neural Networks. 1-6 - Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph Topology Inference Benchmarks for Machine Learning. 1-6 - Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello:
Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. 1-6 - Jhony H. Giraldo, Thierry Bouwmans:
On the Minimization of Sobolev Norms of Time-Varying Graph Signals: Estimation of New Coronavirus Disease 2019 Cases. 1-6 - Atsuki Tamoto, Katunobu Itou:
F0 Estimation Using Blind Source Separation for Analyzing Noh Singing. 1-6 - Vishnu Chandrashekhar, Prerna Singh, Mihir Paralkar, Ozan K. Tonguz:
Pulse ID: The Case for Robustness of ECG as a Biometric Identifier. 1-6 - Timo Huuhtanen, Alexander Jung:
Anomaly Location Detection with Electrical Impedance Tomography Using Multilayer Perceptrons. 1-6 - Jitendra K. Tugnait:
Scad-Penalized Complex Gaussian Graphical Model Selection. 1-6 - Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann:
Blind Hierarchical Deconvolution. 1-6 - Yukun Tan, Fernando B. Lima Neto, Ulisses M. Braga-Neto:
Inference of Protein-Protein Interaction Networks from Liquid-Chromatography Mass-Spectrometry Data by Approximate Bayesian Computation-Sequential Monte Carlo Sampling. 1-6 - Michael J. Bianco, Sharon Gannot, Peter Gerstoft:
Semi-Supervised Source Localization with Deep Generative Modeling. 1-6 - Vincent Mauduit, Patrice Abry, Roberto F. Leonarduzzi, Stéphane G. Roux, Emmanuel Quemener:
Dcgan for the Synthesis of Multivariate Multifractal Textures: How do We Know it Works? 1-6 - Alexander Tong, Guy Wolf, Smita Krishnaswamy:
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators. 1-6 - Jacob R. Epifano, Ravi Prakash Ramachandran, Sharad Patel, Ghulam Rasool:
Towards an Explainable Mortality Prediction Model. 1-6 - Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller, Augusto Sarti:
Feature Projection-Based Unsupervised Domain Adaptation for Acoustic Scene Classification. 1-6 - Fuwei Li, Lifeng Lai, Shuguang Cui:
On the Adversarial Robustness of Linear Regression. 1-6 - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
ModeNet: Mode Selection Network for Learned Video Coding. 1-6 - Ajinkya Gorad, Zheng Zhao, Simo Särkkä:
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. 1-6 - Han-Mo Ou, Chieh-Fang Teng, Wen-Chiao Tsai, An-Yeu Andy Wu:
A Neural Network-Aided Viterbi Receiver for Joint Equalization and Decoding. 1-6 - Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. 1-6 - Yaron Laufer, Sharon Gannot:
A Bayesian Hierarchical Mixture of Gaussian Model for Multi-Speaker DOA Estimation and Separation. 1-6 - Pablo Bonilla-Escribano, David Ramírez, Antonio Artés-Rodríguez:
Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health. 1-6 - Zhen Xiang, David J. Miller, Hang Wang, George Kesidis:
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. 1-6 - Stefano Fortunati, Alexandre Renaux, Frédéric Pascal:
Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions. 1-6 - Pavel Sinha, Yimeng Wu, Ioannis N. Psaromiligkos, Zeljko Zilic:
Lumen & Media Segmentation of IVUS Images via Ellipse Fitting Using a Wavelet-Decomposed Subband CNN. 1-6 - Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. 1-6 - Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. 1-6 - Michael Potter, Henry Gridley, Noah Lichtenstein, Kevin Hines, John Nguyen, Jacob Walsh:
Low-Light Environment Neural Surveillance. 1-6 - Pavel Lifshits, Ronen Talmon:
Unsupervised Acoustic Condition Monitoring with Riemannian Geometry. 1-6 - Efthymios Tzinis, Zhepei Wang, Paris Smaragdis:
Sudo RM -RF: Efficient Networks for Universal Audio Source Separation. 1-6 - Yassine Laguel, Jérôme Malick, Zaïd Harchaoui:
First-Order Optimization for Superquantile-Based Supervised Learning. 1-6 - Gang-Xuan Lin, Chun-Shien Lu:
QISTA-Net: DNN Architecture to Solve $\ell_{Q}$-Norm Minimization Problem. 1-6 - Alberto Natali, Mario Coutino, Geert Leus:
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes. 1-6 - Prem Seetharaman, Gordon Wichern, Bryan Pardo, Jonathan Le Roux:
Autoclip: Adaptive Gradient Clipping for Source Separation Networks. 1-6 - Aviad Eisenberg, Boaz Schwartz, Sharon Gannot:
Blind Audio Source Separation Using Two Expectation-Maximization Algorithms. 1-6 - Yung-Yuan Tseng, Tien-Ruey Hsiang:
A Multi-Patch Aggregated Aesthetic Rating System Based on Eyefixation. 1-6 - Bingpeng Zhou, Risto Wichman:
Visible Light-Based Robust Positioning Under Detector Orientation Uncertainty: A Gabor Convolutional Network-Based Approach Extracting Stable Texture Features. 1-6
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last updated on 2024-09-26 23:44 CEST by the dblp team
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