activity
20092024
most citedGeneralized Correntropy for Robust Adaptive Filtering

780 citations · 1.8k across the 76 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

cs.AI2017

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

Isaac J. Sledge, Jose C. Principe

In this paper, we provide an approach to clustering relational matrices whose entries correspond to either similarities or dissimilarities between objects. Our approach is based on…

stat.ML2017

Quantized Minimum Error Entropy Criterion

Badong Chen, Lei Xing, Nanning Zheng +1

Comparing with traditional learning criteria, such as mean square error (MSE), the minimum error entropy (MEE) criterion is superior in nonlinear and non-Gaussian signal processing…

cs.AI2017★ 8 cited

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

Isaac J. Sledge, Jose C. Principe

In this paper, we propose an information-theoretic exploration strategy for stochastic, discrete multi-armed bandits that achieves optimal regret. Our strategy is based on the valu…

astro-ph.IM2017★ 35 cited

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era

Pablo Huijse, Pablo A. Estevez, Francisco Forster +5

The Large Synoptic Survey Telescope (LSST) will produce an unprecedented amount of light curves using six optical bands. Robust and efficient methods that can aggregate data from m…

cs.CV2017★ 5 cited

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

Jianji Wang, Nanning Zheng, Badong Chen +1

The traditional methods of image assessment, such as mean squared error (MSE), signal-to-noise ratio (SNR), and Peak signal-to-noise ratio (PSNR), are all based on the absolute err…

stat.AP2017

Pre-earthquake State Identification by Micro-earthquake Spike Trains Dissimilarity Analysis

Arash Andalib, Raheleh Baharloo, Jose C. Principe

The exact mechanisms leading to an earthquake are not fully understood and the space-time structural features are non-trivial. Previous studies suggest the seismicity of very low i…

cs.CV2017

Marine Animal Classification with Correntropy Loss Based Multi-view Learning

Zheng Cao, Shujian Yu, Bing Ouyang +4

To analyze marine animals behavior, seasonal distribution and abundance, digital imagery can be acquired by visual or Lidar camera. Depending on the quantity and properties of acqu…

stat.ML2017★ 6 cited

Robustness of Maximum Correntropy Estimation Against Large Outliers

Badong Chen, Lei Xing, Haiquan Zhao +2

The maximum correntropy criterion (MCC) has recently been successfully applied in robust regression, classification and adaptive filtering, where the correntropy is maximized inste…

cs.LG2017★ 12 cited

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

Isaac J. Sledge, Jose C. Principe

Conventional reinforcement learning methods for Markov decision processes rely on weakly-guided, stochastic searches to drive the learning process. It can therefore be difficult to…