Anthony Kuh

IEEE Internet Things J., March, 2023

Personalized Graph Federated Learning With Differential Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2023

Asynchronous Online Federated Learning With Reduced Communication Requirements.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Distributed on-line anomaly detection using kernel methods.

[BibT_eX]

[DOI]

Tyler Baguio

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., 2022

Personalized Learning Using Kernel Methods and Random Fourier Features.

[BibT_eX]

[DOI]

Clyde James Felix

Japhet Ye

Proceedings of the International Joint Conference on Neural Networks, 2022

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Decentralized Graph Federated Multitask Learning for Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

Clustered Graph Federated Personalized Learning.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

In Memoriam: Norman Abramson.

[BibT_eX]

[DOI]

Norman Abramson

IEEE Commun. Mag., 2021

Personalized Learning using Multiple Kernel Models.

[BibT_eX]

[DOI]

Shuai Huang

Cynthia Chen

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Real Time Kernel Learning for Sensor Networks using Principles of Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Nonlinear Adaptive Filtering With Kernel Set-Membership Approach.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

2019

Covariance Matrix Decomposition Using Cascade of Linear Tree Transformations.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Decomposition of Covariance Matrix Using Cascade of Trees.

[BibT_eX]

[DOI]

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

Model Approximation Using Cascade of Tree Decompositions.

[BibT_eX]

[DOI]

CoRR, 2018

How Consumer Empathy Assist Power Grid in Demand Response.

[BibT_eX]

[DOI]

Mojtaba Abolfazli

June Zhang

CoRR, 2018

Online Unsupervised Kernel Affine Projection Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Nonlinear Online Learning - A Kernel SMF Approach.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Online unsupervised kernel learning algorithms.

[BibT_eX]

[DOI]

Phyllis Ng

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

The Quality of the Covariance Selection Through Detection Problem and AUC Bounds.

[BibT_eX]

[DOI]

CoRR, 2016

The quality of tree approximation from AUC bounds.

[BibT_eX]

[DOI]

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Energy efficient scheduling algorithms for pumping water in radial networks.

[BibT_eX]

[DOI]

Vijay Gupta

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Solar radiation forecast under convex piecewise linear cost functions.

[BibT_eX]

[DOI]

Matthias Fripp

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Online least-squares one-class support vector machine for outlier detection in power grid data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The covariance selection quality for graphs with junction trees through AUC bounds.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

The goodness of covariance selection problem from AUC bounds.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences.

[BibT_eX]

[DOI]

Proceedings of the INNS Conference on Big Data 2015, 2015

Approximate dynamic programming for control of a residential water heater.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Signal and information processing applications for the smart grid.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014

Solar radiation forecasting under asymmetric cost functions.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Quaternion Least Mean Phase adaptive estimator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Spatial correlations for solar PV generation and its tree approximation analysis.

[BibT_eX]

[DOI]

Narayana P. Santhanam

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

Online solar radiation forecasting under asymmetrie cost functions.

[BibT_eX]

[DOI]

Matthias Fripp

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

Parallel memory-efficient processing of BCI data.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2013

First order Markov chain approximation of microgrid renewable generators covariance matrix.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Nested bounds for the constrained sensor placement problem.

[BibT_eX]

[DOI]

Aleksandar Kavcic

Proceedings of the IEEE International Conference on Acoustics, 2013

Solar radiation forecasting using zenith angle.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Approximate solutions and performance bounds for the sensor placement problem.

[BibT_eX]

[DOI]

Aleksandar Kavcic

Toshihisa Tanaka

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

A novel augmented complex valued kernel LMS.

[BibT_eX]

[DOI]

Felipe A. Tobar

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Adaptive kernel principal components tracking.

[BibT_eX]

[DOI]

Toshihisa Tanaka

Yoshikazu Washizawa

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Stochastic queuing models for distributed PV energy.

[BibT_eX]

[DOI]

Chuanyi Ji

Yun Wei

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

A Belief Propagation Based Power Distribution System State Estimator.

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2011

GRIP - Grids with intelligent periphery: Control architectures for Grid2050<sup>π</sup>.

[BibT_eX]

[DOI]

David E. Bakken

Anjan Bose

K. Mani Chandy

Pramod P. Khargonekar

Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Real-time state estimation on micro-grids.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Micro-scale smart grid optimization.

[BibT_eX]

[DOI]

Nathan Kowahl

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Applications of complex augmented kernels to wind profile prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Class document frequency as a learned feature for text categorization.

[BibT_eX]

[DOI]

Anand Sharma

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Comments on "Pruning Error Minimization in Least Squares Support Vector Machines".

[BibT_eX]

[DOI]

Philippe De Wilde

IEEE Trans. Neural Networks, 2007

Ad Hoc Sensor Network Localization using Distributed Kernel Regression Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Sensor Network Localization Using Least Squares Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Dynamic Ad Hoc Network Localization Using Online Least Squares Kernel Subspace Methods.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Sequential Detection Using Least Squares Temporal Difference Methods.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On Randomly Evolving Email Networks.

[BibT_eX]

[DOI]

Anthony G. Constantinides

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005

Data Fusion for Modern Engineering Applications: An Overview.

[BibT_eX]

[DOI]

Jonathon A. Chambers

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations.

[BibT_eX]

[DOI]

Chengan Guo

Proceedings of the Advances in Neural Networks, 2004

Adaptive selective kernel learning algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Neural Networks, 2004

1999

Performance of analog neural networks subject to drifting targets and noise.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

A neural-network Q-learning method for decentralized sequential detection with feedback.

[BibT_eX]

[DOI]

Chengan Guo

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Comparison of tracking algorithms for single layer threshold networks in the presence of random drift.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1997

Temporal difference learning applied to sequential detection.

[BibT_eX]

[DOI]

Chengan Guo

IEEE Trans. Neural Networks, 1997

Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary.

[BibT_eX]

[DOI]

Xiaodong Tian

Neural Networks, 1997

1996

Image coding using feature map finite-state vector quantization.

[BibT_eX]

[DOI]

Meina Xu

IEEE Signal Process. Lett., 1996

1995

Unsupervised Learning Applied to Image Coding.

[BibT_eX]

Meina Xu

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

1993

A neural network isolated word recognition system for moderate sized databases.

[BibT_eX]

[DOI]

Jianping Huang

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

A combined self-organizing feature map and multilayer perceptron for isolated word recognition.

[BibT_eX]

[DOI]

Zezhen Kuang

IEEE Trans. Signal Process., 1992

1991

Incrementally Learning Time-Varying Half Planes.

[BibT_eX]

[DOI]

Thomas Petsche

Ronald L. Rivest

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

Learning Time-Varying Concepts.

[BibT_eX]

[DOI]

Thomas Petsche

Ronald L. Rivest

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

Information capacity of associative memories.

[BibT_eX]

[DOI]

Bradley W. Dickinson

IEEE Trans. Inf. Theory, 1989

1987

Performance Measures for Associative Memories that Learn and Forget.

[BibT_eX]

[DOI]