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ORCID29th MLSP 2019: Pittsburgh, PA, USA
- 29th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019, Pittsburgh, PA, USA, October 13-16, 2019. IEEE 2019, ISBN 978-1-7281-0824-7
- Pei-Che Chang, Cheng-Yuan Cheng, Y.-W. Peter Hong:
Distributed Multi-View Subspace Clustering via Auto-Weighted Spectral Embedding. 1-6 - Nathan Larson, Jack Hall
, Mahmood R. Azimi-Sadjadi:
Analyzing Transfer Learning Methods For UXO Classification In Varying Shallow Water Environments. 1-6 - George Karantaidis, Constantine Kotropoulos:
Efficient Capon-Based Approach Exploiting Temporal Windowing for Electric Network Frequency Estimation. 1-6 - Kyri Baker:
Learning Warm-Start Points For Ac Optimal Power Flow. 1-6 - Jitendra K. Tugnait:
On Sparse Complex Gaussian Graphical Model Selection. 1-6 - Hubert J. Banville, Graeme Moffat, Isabela Albuquerque, Denis-Alexander Engemann, Aapo Hyvärinen, Alexandre Gramfort:
Self-Supervised Representation Learning from Electroencephalography Signals. 1-6 - Jussi Taipalmaa, Nikolaos Passalis, Honglei Zhang, Moncef Gabbouj, Jenni Raitoharju:
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. 1-6 - Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo:
Collaborative Inference Of Missing Smart Electric Meter Data For A Building. 1-6 - Yoshiaki Bando, Yoko Sasaki, Kazuyoshi Yoshii:
Deep Bayesian Unsupervised Source Separation Based On A Complex Gaussian Mixture Model. 1-6 - João Monteiro, Jahangir Alam, Tiago H. Falk:
End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks. 1-6 - Xiao Fu, Kejun Huang:
Block-Term Tensor Decomposition Via Constrained Matrix Factorization. 1-6 - Mathilde Brousmiche, Jean Rouat, Stéphane Dupont:
Audio-Visual Fusion And Conditioning With Neural Networks For Event Recognition. 1-6 - Deniz Kocanaogullari, Ender Mete Eksioglu:
Deep Learning For Mri Reconstruction Using A Novel Projection Based Cascaded Network. 1-6 - Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Deep Clustering Based On A Mixture Of Autoencoders. 1-6 - Sai Subramanyam Thoota, Chandra R. Murthy, Ramesh Annavajjala:
Quantized Variational Bayesian Joint Channel Estimation and Data Detection for Uplink Massive MIMO Systems with Low resolution ADCS. 1-6 - Mostafa Ali Shahin, Beena Ahmed, Daniel V. Smith, Andreas Duenser, Julien Epps:
Automatic Screening Of Children With Speech Sound Disorders Using Paralinguistic Features. 1-5 - Wouter M. Kouw, Jesse H. Krijthe, Marco Loog:
Robust Importance-Weighted Cross-Validation Under Sample Selection Bias. 1-6 - Ekta Gujral, Evangelos E. Papalexakis, Georgios Theocharous, Anup B. Rao:
Hacd: Hierarchical Agglomerative Community Detection In Social Networks. 1-6 - Konstantinos I. Diamantaras, Athina P. Petropulu:
Optimal Mobile Relay Beamforming Via Reinforcement Learning. 1-6 - Emma Ozanich, Peter Gerstoft, Haiqiang Niu:
A Deep Network for Single-Snapshot Direction of Arrival Estimation. 1-6 - Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya:
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks. 1-6 - Lukasz T. Bienias, Juanjo R. Guillamón, Line H. Nielsen, Tommy S. Alstrøm:
Insights Into The Behaviour Of Multi-Task Deep Neural Networks For Medical Image Segmentation. 1-6 - Mojtaba Taherisadr, Mohsen Joneidi, Nazanin Rahnavard:
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks. 1-6 - Khandokar Md. Nayem, Donald S. Williamson:
Incorporating Intra-Spectral Dependencies with a Recurrent Output Layer for Improved Speech Enhancement. 1-6 - Song Fang, Quanyan Zhu:
Generic Bounds On The Maximum Deviations In Sequential Prediction: An Information-Theoretic Analysis. 1-6 - Scott Kuzdeba, Brandon Hombs, Jeremy D. Greenlee, Frank H. Guenther:
Kalman Filter Changepoint Detection and Trend Characterization. 1-6 - Shin Murata, Yuma Koizumi, Noboru Harada:
Finding Low-Dimensional Dynamical Structure Through Variational Auto-Encoding Dynamic Mode Decomposition. 1-6 - Toni Karvonen, Filip Tronarp, Simo Särkkä:
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein-Uhlenbeck Prior. 1-6 - Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard:
Rl-Ncs: Reinforcement Learning Based Data-Driven Approach For Nonuniform Compressed Sensing. 1-6 - Charalampos Symeonidis, Ioannis Mademlis, Nikos Nikolaidis, Ioannis Pitas:
Improving Neural Non-Maximum Suppression for Object Detection by Exploiting Interest-Point Detectors. 1-6 - Mouath Aouayeb, Wassim Hamidouche, Kidiyo Kpalma, Amel Benazza-Benyahia:
A Spatiotemporal Deep Learning Solution For Automatic Micro-Expressions Recognition From Local Facial Regions. 1-6 - Aya Khalaf, Hashim A. Al Hassan, Adam Emes, Murat Akçakaya, Brandon M. Grainger:
A Machine Learning Approach for Classifying Faults in Microgrids using Wavelet Decomposition. 1-6 - Ayça Özçelikkale, Mehmet Köseoglu, Mani B. Srivastava, Anders Ahlén:
DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks. 1-6 - Safaa Eldeeb, Jordyn Ting, Deniz Erdogmus, Douglas J. Weber, Murat Akçakaya:
EEG-Based Texture Classification During Active Touch. 1-6 - Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. 1-6 - Milan Papez, Anthony Quinn:
Robust Bayesian Transfer Learning Between Kalman Filters. 1-6 - Enea Ceolini, Shih-Chii Liu:
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. 1-6 - Yun-Lin Tsai, Y.-W. Peter Hong:
Center-Assisted Personal Gait Authentication Using Orientation Adversarial Feature Extraction. 1-6 - Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. 1-6 - Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. 1-6 - Qianqian Yang, Mahdi Boloursaz Mashhadi, Deniz Gündüz:
Deep Convolutional Compression For Massive MIMO CSI Feedback. 1-6 - Marcos Yuichi Takeda, Aldebaro Klautau, Amine Mezghani, Robert W. Heath Jr.:
MIMO Channel Estimation with Non-Ideal ADCS: Deep Learning Versus GAMP. 1-6 - Nitika Khurana, Sudip Mittal, Aritran Piplai, Anupam Joshi:
Preventing Poisoning Attacks On AI Based Threat Intelligence Systems. 1-6 - Francesco A. N. Palmieri, Mario Baldi, Giovanni Di Gennaro, Amedeo Buonanno:
Information-Preserving Networks And The Mirrored Transform. 1-6 - Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos:
Low-Dimensional Decomposition of Manifolds in Presence of Outliers. 1-6 - Mahmood R. Azimi-Sadjadi, Christopher Robbiano, Yinghui Zhao, John J. Hall:
Incremental Dictionary Learning For Adaptive Classification And Reconstruction Of Facial Imagery. 1-6 - Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli:
Authnet: Biometric Authentication Through Adversarial Learning. 1-6 - Runze Gan, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill:
Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters. 1-6 - Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii:
Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks. 1-6 - Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus:
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. 1-6 - Tao Li, Quanyan Zhu:
On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning. 1-6 - Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. 1-6 - Etienne E. Vos, Francois P. S. Luus, Chris J. Finlay, Bruce A. Bassett:
A Generative Machine Learning Approach to RFI Mitigation for Radio Astronomy. 1-6 - Rui Gao, Filip Tronarp, Zheng Zhao, Simo Särkkä:
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method. 1-6 - Efstratios Kakaletsis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Incremental Label Propagation on Facial Images. 1-6 - Trung Vu, Raviv Raich, Xiao Fu:
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. 1-6 - Kexin Feng, Theodora Chaspari:
Low-Resource Language Identification From Speech Using Transfer Learning. 1-6 - Harsha Vardhan Tetali, K. Supreet Alguri, Joel B. Harley:
Wave Physics Informed Dictionary Learning In One Dimension. 1-6 - Chao Wang, Ruida Zhou, Jing Yang, Cong Shen:
A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks. 1-6 - Rakib Hyder, M. Salman Asif:
Generative Models For Low-Rank Video Representation And Reconstruction From Compressive Measurements. 1-6 - Evan Crothers, Nathalie Japkowicz, Herna L. Viktor:
Towards Ethical Content-Based Detection Of Online Influence Campaigns. 1-6 - Kiwon Lee, Hyeonsoo Jo, Hyoji Kim, Yong H. Lee:
Basis Learning Autoencoders for Hybrid Collaborative Filtering in Cold Start Setting. 1-6 - Cécile Hautecoeur, François Glineur:
Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections. 1-6 - Abdullah Karaaslanli, Selin Aviyente:
Strength Adjusted Multilayer Spectral Clustering. 1-6 - Buddhika Nettasinghe, Vikram Krishnamurthy:
The Friendship Paradox: Implications In Statistical Inference Of Social Networks. 1-6 - Adith Balamurugan, Avideh Zakhor:
Online Learning For Indoor Asset Detection. 1-6 - Sai K. Popuri, Zois Boukouvalas:
Efficient Parameter Estimation For Semi-Continuous Data: An Application To Independent Component Analysis. 1-6 - Roland Hostettler, Simo Särkkä:
Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs. 1-6 - Carlos Hinojosa, Jorge Bacca, Edwin Vargas, Sergio Castillo, Henry Arguello:
Single-Pixel Camera Sensing Matrix Design for Hierarchical Compressed Spectral Clustering. 1-6 - Sajjad Bahrami, Ertem Tuncel:
A New Approach To Online Regression Based On Maximum Correntropy Criterion. 1-6 - John A. Hodge, Kumar Vijay Mishra, Amir I. Zaghloul:
Joint Multi-Layer GAN-Based Design of Tensorial RF Metasurfaces. 1-6 - Marjan Saadati, Jill K. Nelson, Hasan Ayaz:
Mental Workload Classification From Spatial Representation of FNIRS Recordings Using Convolutional Neural Networks. 1-6 - Kathan Vyas, Rui Ma, Behnaz Rezaei, Shuangjun Liu, Michael Neubauer, Thomas Ploetz, Ronald Oberleitner, Sarah Ostadabbas:
Recognition Of Atypical Behavior In Autism Diagnosis From Video Using Pose Estimation Over Time. 1-6 - Andre Beckus, George K. Atia:
Scalable Community Detection In The Heterogeneous Stochastic Block Model. 1-6 - Ahmet M. Elbir, Kumar Vijay Mishra:
Robust Hybrid Beamforming With Quantized Deep Neural Networks. 1-6 - Mariia Dmitrieva, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher:
Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network. 1-6 - Muhammad F. Emzir, Sari Lasanen, Zenith Purisha, Simo Särkkä:
Hilbert-Space Reduced-Rank Methods For Deep Gaussian Processes. 1-6 - Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Visualizing High Dimensional Dynamical Processes. 1-6 - Maximillian Fornitz Vording, Peter O. Okeyo, Juan J. R. Guillamón, Peter E. Larsen, Mikkel N. Schmidt, Tommy S. Alstrøm:
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators. 1-6 - Thomas Chang, Bahareh Tolooshams, Demba E. Ba:
Randnet: Deep Learning with Compressed Measurements of Images. 1-6 - Yi Zhou, Yi Feng, Vahid Tarokh, Vadas Gintautas, Jessee McClelland, Denis Garagic:
Multi-Level Mean-Shift Clustering for Single-Channel Radio Frequency Signal Separation. 1-6 - Hamza Baali, Abdesselam Bouzerdoum:
Efficient Pre-Designed Convolutional Front-End for Deep Learning. 1-5 - Javad Mohammadi, Soheil Kolouri:
Collaborative Learning Through Shared Collective Knowledge and Local Expertise. 1-6 - Mahsa Mozaffari, Yasin Yilmaz:
Online Anomaly Detection in Multivariate Settings. 1-6 - Idan Achituve, Sarit Kraus, Jacob Goldberger:
Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism. 1-6 - Myrsini Ntemi, Constantine Kotropoulos, Emmanouil Gionanidis:
A Weighted Ordered Probit Collaborative Kalman Filter For Hotel Rating Prediction. 1-5 - Sören Becker, Klaus-Robert Müller, Thomas Wiegand, Sebastian Bosse:
A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation. 1-6 - Farhad Pourkamali-Anaraki:
Large-Scale Sparse Subspace Clustering Using Landmarks. 1-6 - Shachar Shayovitz, Meir Feder:
Minimax Active Learning Via Minimal Model Capacity. 1-6 - Zhen Xiang, David J. Miller, George Kesidis:
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense. 1-6 - Chiranjib Saha, Harpreet S. Dhillon:
Interference Characterization in Wireless Networks: A Determinantal Learning Approach. 1-6 - Alice Cohen-Hadria, Mark Cartwright, Brian McFee, Juan Pablo Bello:
Voice Anonymization in Urban Sound Recordings. 1-6 - Gabriel Ford, Timothy Hu, Timothy Y. Hu, Donald J. Bucci, Benjamin J. Foster:
Unknown Signal Detection In Linear Dynamical System Noise. 1-6 - Mohamed Ouqamra, Delphine Bouilly:
Unsupervised Drift Compensation based on Information Theory for Single-Molecule Sensors. 1-6 - Jorge Bacca, Claudia V. Correa P., Edwin Vargas, Sergio Castillo, Henry Arguello:
Compressive Classification from Single Pixel Measurements Via Deep Learning. 1-6 - Xiaofei Huang, Behnaz Rezaei, Sarah Ostadabbas:
AH-CoLT: an AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation. 1-6 - Hiroki Kawai, Jiawei Chen, Prakash Ishwar, Janusz Konrad:
Vae/Wgan-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images. 1-6 - Anup Aprem, Stephen J. Roberts:
Optimal Pricing In Black Box Producer-Consumer Stackelberg Games Using Revealed Preference Feedback. 1-6
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last updated on 2024-11-18 20:33 CET by the dblp team
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