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Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

Jan 18, 2021
Isaac J. Sledge, Jose C. Principe

* Submitted to IEEE TNNLS 

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Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders

Jan 10, 2021
Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, Jose C. Principe

* Submitted to IEEE JOE 

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Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey

Jan 09, 2021
Shiyu Duan, Jose C. Principe


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Unsupervised Foveal Vision Neural Networks with Top-Down Attention

Oct 18, 2020
Ryan Burt, Nina N. Thigpen, Andreas Keil, Jose C. Principe

* 29 pages, 15 figures 

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PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders

Jul 13, 2020
Yanjun Li, Shujian Yu, Jose C. Principe, Xiaolin Li, Dapeng Wu


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Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications

May 05, 2020
Shujian Yu, Ammar Shaker, Francesco Alesiani, Jose C. Principe

* accepted at IJCAI 20, code is available at https://github.com/SJYuCNEL/Bregman-Correntropy-Conditional-Divergence 

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Towards a Kernel based Physical Interpretation of Model Uncertainty

Feb 21, 2020
Rishabh Singh, Jose C. Principe


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Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces

Jan 01, 2020
Kan Li, Jose C. Principe

* 10 pages, 3 figures, 2 tables. arXiv admin note: text overlap with arXiv:1912.04530 

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No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features

Dec 10, 2019
Kan Li, Jose C. Principe

* 12 pages, 7 figures 

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Functional Bayesian Filter

Nov 24, 2019
Kan Li, Jose C. Principe

* 15 pages, 8 figures 

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Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image

Nov 08, 2019
Chi Ding, Zheng Cao, Matthew S. Emigh, Jose C. Principe, Bing Ouyang, Anni Vuorenkoski, Fraser Dalgleish, Brian Ramos, Yanjun Li


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Multiscale Principle of Relevant Information for Hyperspectral Image Classification

Jul 13, 2019
Yantao Wei, Shujian Yu, Jose C. Principe


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Maximum Correntropy Criterion with Variable Center

Apr 13, 2019
Badong Chen, Xin Wang, Yingsong Li, Jose C. Principe

* 5 pages, 1 figure 

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An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations

Jan 22, 2019
Isaac J. Sledge, Jose C. Principe

* Submitted to the IEEE Transactions on Neural Networks and Learning Systems 

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Theory and Algorithms for Pulse Signal Processing

Dec 31, 2018
Gabriel Nallathambi, Jose C. Principe


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Simple stopping criteria for information theoretic feature selection

Nov 29, 2018
Shujian Yu, Jose C. Principe

* 4 pages, 2 figures 

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Understanding Convolutional Neural Network Training with Information Theory

Oct 12, 2018
Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, Jose C. Principe

* substantial improvement over v1 

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Understanding Autoencoders with Information Theoretic Concepts

Aug 23, 2018
Shujian Yu, Jose C. Principe

* 64 pages, 16 figures 

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Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

Aug 23, 2018
Shujian Yu, Luis Gonzalo Sanchez Giraldo, Robert Jenssen, Jose C. Principe

* 26 pages, 8 figures 

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Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels

Jun 28, 2018
Shujian Yu, Xiaoyang Wang, Jose C. Principe

* Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (2018) 3033-3039 
* Published as a conference paper at IJCAI 2018 

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An Analysis of the Value of Information when Exploring Stochastic, Discrete Multi-Armed Bandits

Mar 03, 2018
Isaac J. Sledge, Jose C. Principe

* Entropy 

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Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion

Feb 05, 2018
Isaac J. Sledge, Matthew S. Emigh, Jose C. Principe

* IEEE Transactions on Neural Networks and Learning Systems 

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Augmented Space Linear Model

Feb 02, 2018
Zhengda Qin, Badong Chen, Nanning Zheng, Jose C. Principe

* 5 pages and 1 figures 

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Robustness of Maximum Correntropy Estimation Against Large Outliers

Nov 23, 2017
Badong Chen, Lei Xing, Haiquan Zhao, Bin Xu, Jose C. Principe

* 8 pages, 7 figures 

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Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies

Nov 04, 2017
Isaac J. Sledge, Jose C. Principe

* IEEE Transactions on Computational Intelligence and Artificial Intelligence in Games 

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Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information

Oct 28, 2017
Isaac J. Sledge, Jose C. Principe

* Submitted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 

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Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient

Aug 04, 2017
Jianji Wang, Nanning Zheng, Badong Chen, Jose C. Principe

* 11 pages, 0 figures 

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Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

Aug 01, 2016
Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, Jose C. Principe

* 12 pages,8 figures 

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Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

Sep 25, 2015
Pablo Huijse, Pablo A. Estevez, Pavlos Protopapas, Jose C. Principe, Pablo Zegers

* IEEE Computational Intelligence Magazine, vol. 9, n. 3, pp. 27-39, 2014 

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