Pose Estimation in SAR using an Information Theoretic Criterion (2000)
Jose C. Principe, Dongxin Xu, John W. Fisher Iii
This paper describes a pose estimation algorithm based on an information theoretic formulation. We formulate the pose estimation statistically and show that pose can be estimated from a low...
Qun Zhao, Victor Brennan, Dongxin Xu, Zheng Wang, Jose C. Principe, Ph. D
This paper describes a new architecture for synthetic aperture radar (SAR) automatic target recognition (ATR) based on the premise that the pose of the target is estimated within a high degree of...
Learning From Examples with Quadratic Mutual Information (2000)
this paper, a Quadratic Mutual Information measure for a set of discrete samples is introduced and a brief description of the learning algorithm is presented.
Learning from Examples with Quadratic Mutual Information (2000)
This paper discusses a novel algorithm to train nonlinear mappers with information theoretic criteria (entropy or mutual information) directly from a training set. The method is based on a Parzen...
Information-Theoretic Learning Using Renyi's Quadratic Entropy (2000)
Learning from examples has been traditionally based on correlation or on the mean square error (MSE) criterion, in spite of the fact that learning is intrinsically related with the extraction of...
Training MLPs Layer-by-Layer with the Information Potential (2000)
In the area of information processing one fundamental issue is how to measure the statistical relationship between two variables based only on their samples. In a previous paper, the idea of...
Information-Theoretic Learning (2000)
Jose C. Principe, Dongxin Xu, John W. Fisher Iii
This chapter seeks to extend the ubiquitous mean-square error criterion (MSE) to cost functions that include more information about the training data. Since the learning process ultimately should...
Generalized Eigen-Decomposition with an On-line Local Algorithm (2000)
Dongxin Xu, Jose C. Principe, Hsiao-chun Wu
This letter presents a novel, on-line, local learning algorithm to obtain generalized eigenvalues and their corresponding eigenvectors in descending order with a linear adaptive filter. The filter is...
A Novel Measure for Independent Component Analysis (ICA) (2000)
Dongxin Xu, Jose C. Principe, John Fisher Iii, Hsiao-chun Wu
Measures of independence (and dependence) are fundamental in many areas of engineering and signal processing. Shannon introduced the idea of Information Entropy which has a sound theoretical...
Information-Theoretic Learning Using Renyi's Quadratic Entropy (2000)
Learning from examples has been traditionally based on correlation or on the mean square error (MSE) criterion, in spite of the fact that learning is intrinsically related with the extraction of...
From Hyperplanes to Large Margin Classifiers: Applications to SAR ATR (2000)
Qun Zhao, Jose C. Principe, Dongxin Xu
In this paper, the structural risk minimization (SRM) criterion is employed to train a large margin classifier, the support vector machine (SVM). Its relative performance is compared with traditional...
Pose Estimation for SAR Automatic Target Recognition (1999)
Qun Zhao, Dongxin Xu, Jose C. Principe
1 This paper explores statistically pose estimation in SAR ATR. Based on our proposed method of maximizing mutual information, further experiments are conducted by using the MSTAR/IU Database....