Robert S. Lynch

发表

Information Embedding in Sonar by Modifications of Time-Frequency Properties

Bijan G. Mobasseri, Robert S. Lynch, B. Mobasseri, 2016, IEEE Journal of Oceanic Engineering.

A new approach to chemical agent detection, classification, and estimation

Genshe Chen, Erik Blasch, Tao Qian, 2008, SPIE Defense + Commercial Sensing.

Bayesian classification using a noninformative prior and mislabeled training data

Peter Willett, Robert S. Lynch, 1999 .

Performance considerations for a combined information classification test using Dirichlet priors

Peter Willett, Robert S. Lynch, 1999, IEEE Trans. Signal Process..

On modeling sea clutter by noisy chaotic dynamics

Jing Hu, Genshe Chen, Robert S. Lynch, 2008, SPIE Defense + Commercial Sensing.

Utilizing unsupervised learning to cluster data in the Bayesian data reduction algorithm

Peter Willett, Robert S. Lynch, 2005, SPIE Defense + Commercial Sensing.

A theoretical performance analysis of the Bayesian data reduction algorithm

Peter Willett, Robert S. Lynch, 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

UUV-platform cooperation in covert tracking

Yaakov Bar-Shalom, Peter K. Willett, Robert S. Lynch, 2005, SPIE Optics + Photonics.

New results in semi-supervised learning using adaptive classifier fusion

Peter Willett, Robert S. Lynch, 2014, Sensing Technologies + Applications.

Mining unknown patterns in data when the features are correlated

Robert S. Lynch, Peter Willett, 2007, SPIE Defense + Commercial Sensing.

Classification performance results of various medical diagnostic data sets

Peter Willett, Robert S. Lynch, 2002, SPIE Defense + Commercial Sensing.

Class-specific feature selection based on uniform dirichlet priors

Peter Willett, Robert S. Lynch, 2000, SPIE Defense + Commercial Sensing.

Adaptive sequential Bayesian classification using Page's test

Peter Willett, Robert S. Lynch, 2002, SPIE Defense + Commercial Sensing.

Bayesian classification and feature reduction using uniform Dirichlet priors

Peter Willett, Robert S. Lynch, P. Willett, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features

Peter Willett, Robert S. Lynch, 2009, 2009 12th International Conference on Information Fusion.

Modeling feature uncertainty in the Bayesian data reduction algorithm

Peter Willett, Robert S. Lynch, 2004, SPIE Defense + Commercial Sensing.

Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining

Robert S. Lynch, Nicholas Navaroli, David A. Turner, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Utilizing Fused Features to Mine Unknown Clusters in Training Data

Peter Willett, Robert S. Lynch, 2006, 2006 9th International Conference on Information Fusion.

Use of Bayesian data reduction for the fusion of legacy classifiers

Peter Willett, Robert S. Lynch, 2003, Inf. Fusion.

Sonar watermark embedding and detection: a sea trial report

Bijan G. Mobasseri, Robert S. Lynch, Nagarjun Chakilam, 2012, Defense, Security, and Sensing.

Using classifier fusion to improve the performance of multiclass classification problems

Peter Willett, Robert S. Lynch, 2013, Defense, Security, and Sensing.

Classification with a combined information test

Peter Willett, Robert S. Lynch, P. Willett, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

An algorithmic approach to mining unknown clusters in training data

Peter Willett, Robert S. Lynch, 2006, SPIE Defense + Commercial Sensing.

Adaptive classification by maximizing class separability with respect to the unlabeled data

Peter Willett, Robert S. Lynch, 2003, SPIE Defense + Commercial Sensing.

Classification using Dirichlet priors when the training data are mislabeled

Peter Willett, Robert S. Lynch, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Performance comparison of the automatic data reduction system (ADRS)

Robert S. Lynch, David A. Turner, Arturo I. Concepcion, 2008, SPIE Defense + Commercial Sensing.

Classification and feature selection with fused conditionally dependent binary valued features

Peter Willett, Robert S. Lynch, 2000, Proceedings of the Third International Conference on Information Fusion.

Utilizing a class labeling feature in an adaptive Bayesian classifier

Peter Willett, Robert S. Lynch, 2001, SPIE Defense + Commercial Sensing.

Estimating the threshold for maximizing expected gain in supervised discrete Bayesian classification

Peter Willett, Robert S. Lynch, 2009, Defense + Commercial Sensing.

A theoretical performance analysis of discrete data classification when fusing two features

Peter Willett, Robert S. Lynch, 2015, Commercial + Scientific Sensing and Imaging.

Classification performance of various real-life data sets when the features are discretized

Peter Willett, Robert S. Lynch, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Adaptive Bayesian classification using noninformative Dirichlet priors

Peter Willett, Robert S. Lynch, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Multiuser sonar watermarking and detection in an underwater acoustic channel

Bijan G. Mobasseri, Robert S. Lynch, David Andiario, 2013, Defense, Security, and Sensing.

Classifier fusion results using various open literature data sets

Peter Willett, Robert S. Lynch, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Quantizing features independently in the Bayesian data reduction algorithm

Peter Willett, Robert S. Lynch, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Waveform fusion for sonar detection and estimation

Peter Willett, Sun Yan, Robert S. Lynch, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Sonar authentication performance evaluation under realistically simulated undersea channels

Bijan G. Mobasseri, Robert S. Lynch, B. Mobasseri, 2010, Defense + Commercial Sensing.

Effects of using a 3D model on the performance of vision algorithms

Damian M. Lyons, Robert S. Lynch, D. Paul Benjamin, 2015, Commercial + Scientific Sensing and Imaging.

On modeling sea clutter by diffusive models

Jing Hu, Genshe Chen, Robert S. Lynch, 2008, SPIE Defense + Commercial Sensing.