Michael K. Schneider

发表

Computing maximal track clusters for sensor resource management

Michael K. Schneider, 2009, 2009 12th International Conference on Information Fusion.

Multiscale methods for the segmentation and reconstruction of signals and images

Paul W. Fieguth, W. Clem Karl, Alan S. Willsky, 2000, IEEE Trans. Image Process..

Multiscale methods for the segmentation of images

Paul W. Fieguth, W. Clem Karl, Alan S. Willsky, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Multiscale statistical methods for the segmentation of signals and images

Decision Systems., Michael K. Schneider, 1997 .

A recursive estimation approach to the segmentation of MR imagery

W. Clem Karl, Alan S. Willsky, John P. Kaufhold, 1997, Proceedings of International Conference on Image Processing.

A rollout algorithm to coordinate multiple sensor resources to track and discriminate targets

Chee Chong, Michael K. Schneider, 2006, SPIE Defense + Commercial Sensing.

Lessons learned in the creation of a data set for hard/soft information fusion

Alan S. Willsky, Olga Babko-Malaya, Chee-Yee Chong, 2009, 2009 12th International Conference on Information Fusion.

A Statistical Method for Efficient Segmentation of MR Imagery

W. Clem Karl, Alan S. Willsky, John P. Kaufhold, 1997, Int. J. Pattern Recognit. Artif. Intell..

Identifying Nuggets of Information in GALE Distillation Evaluation

Olga Babko-Malaya, Michael K. Schneider, Greg P. Milette, 2012, LREC.

DARPA INTEGRATED SENSING AND PROCESSING (ISP) PROGRAM Approximation Methods for Markov Decision Problems in Sensor Management

Michael K. Schneider, David Castanon, Angelina Nedich, 2006 .

A Krylov subspace method for large estimation problems

Alan S. Willsky, Michael K. Schneider, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Exploiting social context for expertise propagation

Kathy Ryall, Michael K. Schneider, Robert Hyland, 2009, SIGIR.

Krylov Subspace Estimation

Michael K. Schneider, Alan S. Willsky, A. Willsky, 2000, SIAM J. Sci. Comput..

Learning patterns of life from intelligence analyst chat

Olga Babko-Malaya, Jason HandUber, Valentino Crespi, 2016, Defense + Security.

A Krylov Subspace Method for Covariance Approximation and Simulation of Random Processes and Fields

Alan S. Willsky, Michael K. Schneider, A. Willsky, 2003, Multidimens. Syst. Signal Process..

Farsighted sensor management for feature-aided tracking

Michael K. Schneider, Angelia Nedich, Djuana Lea, 2006, SPIE Defense + Commercial Sensing.

Optimal Policies for a Class of Restless Multiarmed Bandit Scheduling Problems with Applications to Sensor Management

Robert B. Washburn, Michael K. Schneider, R. Washburn, 2008, J. Adv. Inf. Fusion.

Context-sensitive, distributed, multi-domain adaptive option generation

Michael Cook, Laura Barbulescu, Michael K. Schneider, 2021, Defense + Commercial Sensing.

Context aided video-to-text information fusion

Genshe Chen, Erik Blasch, Anthony Hoogs, 2014, 17th International Conference on Information Fusion (FUSION).

Exact and Approximate Sampling from the Stationary Distribution of a Markov Chain

Michael K. Schneider, M. Schneider, 1999 .

Multiscale Methods for the Segmentation of Images Multiscale Methods for the Segmentation of Images Multiscale Methods for the Segmentation of Images

Michael K. Schneider, A. Willsky, M. Schneider, 1996 .