Search Results - "Wilson, Joseph N"

An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination by Ho, K.C., Carin, L., Gader, P.D., Wilson, J.N.

“…Ground penetrating radar (GPR)-based discrimination of landmines from clutter is known to be challenging due to the wide variability of possible clutter (e.g.,…”
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Twenty Years of Mixture of Experts by Yuksel, S. E., Wilson, J. N., Gader, P. D.

“…In this paper, we provide a comprehensive survey of the mixture of experts (ME). We discuss the fundamental models for regression and classification and also…”
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A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar by Malof, Jordan M., Reichman, Daniel, Karem, Andrew, Frigui, Hichem, Ho, K. C., Wilson, Joseph N., Lee, Wen-Hsiung, Cummings, William J., Collins, Leslie M.

“…In this paper, we consider the development of algorithms for the automatic detection of buried threats using ground penetrating radar (GPR) measurements. GPR…”
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Improvement of Handheld Radar Operators' Hazard Detection Performance Using 3-D Visualization by Gonsalves, Drew B., Winner, Lawrence H., Wilson, Joseph N.

“…Handheld ground-penetrating radar systems are employed in both military and humanitarian demining operations. Radar system operators are given the difficult…”
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Detecting landmines with ground-penetrating radar using feature-based rules, order statistics, and adaptive whitening by Gader, P., Wen-Hsiung Lee, Wilson, J.N.

“…An approach to detecting landmines using ground-penetrating radar (GPR) based on feature-based rules, order statistics, and adaptive whitening (FROSAW) is…”
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GRANMA: Gradient Angle Model Algorithm on Wideband EMI Data for Land-Mine Detection by Ramachandran, G, Gader, P D, Wilson, J N

“…This letter presents a simple and fast algorithm to analyze wideband electromagnetic induction data for subsurface targets. A well-known four-parameter model…”
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Optimizing the Area Under a Receiver Operating Characteristic Curve With Application to Landmine Detection by Wen-Hsiung Lee, Gader, P.D., Wilson, J.N.

“…A common approach to training neural network classifiers in a supervised learning setting is to minimize the mean-square error (mse) between the network output…”
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Land Mine and Clutter Object Discrimination Using Wavelet and Time Domain Spatially Distributed Features from Metal Detectors and Their Fusion with GPR Features for Hand-Held Units by Stanley, R. Joe, Ho, K.C., Gader, Paul, Wilson, Joseph N., Devaney, James

“…This paper presents some advances in discrimination and fusion algorithms using metal detector (MD) and ground penetrating radar (GPR) sensors in a robotic…”
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An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination by Frigui, Hichem, Zhang, Lijun, Gader, Paul, Wilson, Joseph N., Ho, K.C., Mendez-Vazquez, Andres

“…Many algorithms have been proposed for detecting anti-tank landmines and discriminating between mines and clutter objects using data generated by a ground…”
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A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination by Wilson, J.N., Gader, P., Wen-Hsiung Lee, Frigui, H., Ho, K.C.

“…A variety of algorithms for the detection of landmines and discrimination between landmines and clutter objects have been presented. We discuss four quite…”
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Simultaneous feature and HMM Model learning for landmine detection using Ground Penetrating Radar by Xuping Zhang, Yuksel, Seniha Esen, Gader, Paul, Wilson, Joseph N

“…Hidden Markov Models (HMMs) have been widely used in landmine detection with Ground Penetrating Radar (GPR) data; however, to the best of our knowledge, there…”
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BOSS: A Dataset to Train ML-Based Systems to Repair Programs with Out-of-Bounds Write Flaws by Yadav, Anurag Swarnim, Wilson, Joseph N.

“…C and C++ are widely-used, mature programming languages. They have been extensively used in development of projects such as Linux, Windows, YouTube, Adobe,…”
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Discrete Choquet Integral as a Distance Metric by Bolton, J., Gader, P., Wilson, J.N.

“…The discrete Choquet integral is a nonlinear transformation that integrates a real function with respect to a fuzzy measure. We show that the discrete Choquet…”
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Simulations between two reconfigurable mesh models by Shi, Hongchi, Ritter, Gerhard X., Wilson, Joseph N.

“…Many reconfigurable mesh-connected architectures have been proposed for high-performance computing. In this paper, we review the characteristics of two…”
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Matching-Pursuits Dissimilarity Measure for Shape-Based Comparison and Classification of High-Dimensional Data by Mazhar, R., Gader, P.D., Wilson, J.N.

“…In this paper, a new matching pursuits dissimilarity measure (MPDM) is presented that compares two signals using the information provided by their matching…”
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A large-scale systematic evaluation of algorithms using ground-penetrating radar for landmine detection and discrimination : Subsurface sensing using Ground-Penetrating Radar (GPR) by WILSON, Joseph N, GADER, Paul, LEE, Wen-Hsiung, FRIGUI, Hichem, HO, K. C

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A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar by Malof, Jordan M, Reichman, Daniel, Karem, Andrew, Frigui, Hichem, Ho, Dominic K. C, Wilson, Joseph N, Lee, Wen-Hsiung, Cummings, William, Collins, Leslie M

“…In this paper we consider the development of algorithms for the automatic detection of buried threats using ground penetrating radar (GPR) measurements. GPR is…”
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A fast general algorithm for extracting image features on SIMD mesh-connected computers by Shi, Hongchi, Ritter, Gerhard X., Wilson, Joseph N.

“…Extracting features of components in an image is an important step for recognition of objects in the image. In this paper, we develop a general formula for…”
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A matching pursuit based similarity measure for fuzzy clustering and classification of signals by Mazhar, R., Gader, P.D., Wilson, J.N.

“…Matching pursuits is a well known technique for signal representation and has also been used as a feature extractor for some classification systems. However,…”
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A Machine Learning Based Topic Exploration and Categorization on Surveys by George, C. P., Wang, D. Z., Wilson, J. N., Epstein, L. M., Garland, P., Suh, A.

“…This paper describes an automatic topic extraction, categorization, and relevance ranking model for multi-lingual surveys and questions that exploits machine…”
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