258 citations · 297 across the 4 of their papers we have counts for
5 papers
On Bayesian Exponentially Embedded Family for Model Order Selection
Zhenghan Zhu, Steven Kay
In this paper, we derive a Bayesian model order selection rule by using the exponentially embedded family method, termed Bayesian EEF. Unlike many other Bayesian model selection me…
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise
Bo Tang, Haibo He, Steven Kay
This paper considers the general signal detection and parameter estimation problem in the presence of colored Gaussian noise disturbance. By modeling the disturbance with an autore…
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise
Bo Tang, Jun Yan, Steven Kay +1
In this paper, we consider the problems of state estimation and false data injection detection in smart grid when the measurements are corrupted by colored Gaussian noise. By model…
EEF: Exponentially Embedded Families with Class-Specific Features for Classification
Bo Tang, Steven Kay, Haibo He +1
In this letter, we present a novel exponentially embedded families (EEF) based classification method, in which the probability density function (PDF) on raw data is estimated from…
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
Bo Tang, Steven Kay, Haibo He
Automated feature selection is important for text categorization to reduce the feature size and to speed up the learning process of classifiers. In this paper, we present a novel a…