Sabino Gadaleta

发表

Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise for tracking applications

Aubrey B. Poore, Benjamin J. Slocumb, Brian J. Suchomel, 2003, SPIE Optics + Photonics.

Short arc gating in multiple hypothesis tracking for space surveillance

Aubrey B. Poore, Sabino Gadaleta, Joshua T. Horwood, 2012, Defense + Commercial Sensing.

Aubrey B. Poore, Benjamin J. Slocumb, Sabino Gadaleta, 2003, Proceedings of the 2003 American Control Conference, 2003..

Time series prediction by estimating Markov probabilities through topology preserving maps

Sabino Gadaleta, Michael Kirby, Gerhard Dangelmayr, 1999, Optics + Photonics.

Approximate non-parametric feature extraction applied to classification system data

Sabino Gadaleta, Kathrin Dorn, Can Altinigneli, 2009, Security + Defence.

Integration of IR sensor clutter rejection techniques with pixel cluster frame manipulation

Sabino Gadaleta, Allison Floyd, Dan Macumber, 2005, SPIE Optics + Photonics.

Pixel-cluster decomposition tracking for multiple IR-sensor surveillance

Aubrey B. Poore, Benjamin J. Slocumb, Sabino Gadaleta, 2004, SPIE Optics + Photonics.

THE GROUP ASSIGNMENT PROBLEM ARISING IN MULTIPLE TARGET TRACKING

Aubrey B. Poore, Sabino Gadaleta, A. Poore, 2004 .

Device, Algorithm and Integrated Modeling Research for Performance-Drive Multi-Modal Optical Sensors

John P. Kerekes, Zoran Ninkov, Andrew C. Rice, 2012 .

Some assignment problems arising from multiple target tracking

Aubrey B. Poore, Sabino Gadaleta, A. Poore, 2006, Math. Comput. Model..

Autonomous target dependent waveband selection for tracking in performance-driven hyperspectral sensing

John P. Kerekes, Sabino Gadaleta, Kyle M. Tarplee, 2012, Defense + Commercial Sensing.

Multiple frame cluster tracking

Sabino Gadaleta, Aubrey Poore, Mike Klusman, 2002, SPIE Defense + Commercial Sensing.

Hierarchical closely spaced object (CSO) resolution for IR sensor surveillance

Aubrey B. Poore, Daniel Macumber, Sabino Gadaleta, 2005, SPIE Optics + Photonics.

Group assignment problem

Aubrey B. Poore, Sabino Gadaleta, 2004, SPIE Optics + Photonics.

Multiple hypothesis clustering and multiple frame assignment tracking

Aubrey B. Poore, Sean Roberts, Benjamin J. Slocumb, 2004, SPIE Defense + Commercial Sensing.

Control of 1-D and 2-D coupled map lattices through reinforcement learning

Sabino Gadaleta, Gerhard Dangelmayr, 2000, 2000 2nd International Conference. Control of Oscillations and Chaos. Proceedings (Cat. No.00TH8521).

Optimal chaos control through reinforcement learning.

Sabino Gadaleta, Gerhard Dangelmayr, G. Dangelmayr, 1999, Chaos.

Network-centric MFA tracking architecture based on soft-level data association

Aubrey B. Poore, Sabino Gadaleta, Roman Novoselov, 2005, SPIE Optics + Photonics.

Neural network approaches for multi-spectral missile discrimination

Sabino Gadaleta, M. Can Altinigneli, 2008, Security + Defence.

Test projectors to demonstrate the performance of IR missile warning sensors

Thomas Roth, Sabino Gadaleta, Jochen Barth, 2008, Security + Defence.

Reinforcement learning chaos control using value sensitive vector-quantization

Sabino Gadaleta, Gerhard Dangelmayr, G. Dangelmayr, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).