• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 103 matches

• 2024
• 
  Yuki Akiyama, Konstantinos Slavakis:
  Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering. ICASSP 2024: 5855-5859
• 
  Duc Thien Nguyen, Konstantinos Slavakis:
  Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. ICASSP 2024: 9466-9470
• 
  Hrang Kap Lian, Kitsana Waiyamai, Slavakis Konstantinos, Choochart Haruechaiyasak:
  Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output. KST 2024: 178-183
• 
  Duc Thien Nguyen, Konstantinos Slavakis:
  Multilinear Kernel Regression and Imputation via Manifold Learning. CoRR abs/2402.03648 (2024)
• 
  Yuki Akiyama, Minh Vu, Konstantinos Slavakis:
  Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. CoRR abs/2403.20020 (2024)
• 
  Minh Vu, Konstantinos Slavakis:
  Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization. CoRR abs/2409.04374 (2024)
• 
  Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados:
  Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning. CoRR abs/2409.05135 (2024)
• 2023
• 
  Minh Vu, Yuki Akiyama, Konstantinos Slavakis:
  Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. ICASSP 2023: 1-5
• 
  Duc Thien Nguyen, Konstantinos Slavakis:
  Multi-Linear Kernel Regression and Imputation in Data Manifolds. CoRR abs/2304.03041 (2023)
• 
  Yuki Akiyama, Konstantinos Slavakis:
  Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering. CoRR abs/2309.07548 (2023)
• 2022
• 
  Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying:
  Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging 8: 133-147 (2022)
• 
  Konstantinos Slavakis, Gaurav N. Shetty:
  Kernel Regression Imputation in Manifolds: Videos of dMRI data. IEEE DataPort, 2022 
• 
  Minh Vu, Yuki Akiyama, Konstantinos Slavakis:
  Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning. CoRR abs/2210.11317 (2022)
• 
  Yuki Akiyama, Minh Vu, Konstantinos Slavakis:
  online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering. CoRR abs/2210.11755 (2022)
• 2021
• 
  Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia:
  Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case. Signal Process. 179: 107834 (2021)
• 
  Konstantinos Slavakis, Masahiro Yukawa:
  Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. ICASSP 2021: 5335-5339
• 
  Cong Ye, Konstantinos Slavakis, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia:
  Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds. ICASSP 2021: 3815-3819
• 2020
• 
  Konstantinos Slavakis, Sinjini Banerjee:
  Robust Hierarchical-Optimization RLS Against Sparse Outliers. IEEE Signal Process. Lett. 27: 171-175 (2020)
• 
  Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
  Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. IEEE Trans. Medical Imaging 39(3): 688-702 (2020)
• 
  Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
  Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. EUSIPCO 2020: 1482-1486
• 
  Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia:
  Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case. CoRR abs/2002.09943 (2020)
• 
  Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying:
  Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. CoRR abs/2002.11885 (2020)
• 2019
• 
  Konstantinos Slavakis:
  The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS. IEEE Trans. Signal Process. 67(11): 2868-2883 (2019)
• 
  Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Sarah Feldt Muldoon, John D. Medaglia:
  Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian. CoRR abs/1906.02292 (2019)
• 
  Konstantinos Slavakis, Sinjini Banerjee:
  Robust Hierarchical-Optimization RLS Against Sparse Outliers. CoRR abs/1910.05399 (2019)
• 2018
• 
  Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton:
  Clustering Brain-Network Time Series by Riemannian Geometry. IEEE Trans. Signal Inf. Process. over Networks 4(3): 519-533 (2018)
• 
  Konstantinos Slavakis:
  Stochastic Composite Convex Minimization with Affine Constraints. ACSSC 2018: 1871-1875
• 
  Konstantinos Slavakis, Aritra Konar, Nicholas D. Sidiropoulos:
  Fast Projection-Based Solvers for the Non-Convex Quadratically Constrained Feasibility Problem. ICASSP 2018: 3954-3958
• 
  Ukash Nakarmi, Konstantinos Slavakis, Leslie Ying:
  MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging. ISBI 2018: 1213-1216
• 
  Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari:
  Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. CoRR abs/1812.10617 (2018)

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