Peter D. Scott

发表

Object recognition using multilayer Hopfield neural network

Nasser M. Nasrabadi, Susan S. Young, Peter D. Scott, 1997, IEEE Trans. Image Process..

Polynomial chaos based method for state and parameter estimation

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2012, 2012 American Control Conference (ACC).

Reasoning about situations in the early post-disaster response environment

Peter D. Scott, Galina L. Rogova, Carlos Lollett, 2006, 2006 9th International Conference on Information Fusion.

CBRN data fusion using puff-based model and bar-reading sensor data

Peter D. Scott, Tarunraj Singh, Yang Cheng, 2007, 2007 10th International Conference on Information Fusion.

Applied Machine Vision

Peter D. Scott, 1990 .

A Reinforcement Learning Approach to Control.

Jing Peng, Peter D. Scott, Cesar Bandera, 1997 .

Adaptive Gaussian Sum Filter for Nonlinear Bayesian Estimation

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2011, IEEE Transactions on Automatic Control.

DIGITAL DECODING OF IN-LINE HOLOGRAMS

Levent Onural, Peter D. Scott, 1987 .

Performance evaluation methodology for face recognition algorithms

Hyeonjoon Moon, Peter D. Scott, 1999 .

Minimalist Mobile Robotics. A Colony-Style Architecture for an Artificial Creature (Jonathan H. Connell)

Peter D. Scott, P. D. Scott, 1992, SIAM Rev..

A framework for media-streaming over packet-switched networks

Mahesh Venkatraman, Peter D. Scott, 1999 .

Data assimilation in variable dimension dispersion models using particle filters

Peter D. Scott, Tarunraj Singh, Yang Cheng, 2007, 2007 10th International Conference on Information Fusion.

A predictive model for haptic assistance in robot assisted trocar insertion

Thenkurussi Kesavadas, Raul Wirz, Peter D. Scott, 2013, 2013 World Haptics Conference (WHC).

Blending Chem-Bio Dispersion Forecasts and Sensor Data

Yang Cheng, Peter D. Scott, Puneet Singla, 2008 .

Unscented Kalman Filter/Smoother for a CBRN puff-based dispersion model

Peter D. Scott, Tarunraj Singh, Gabriel Terejanu, 2007, 2007 10th International Conference on Information Fusion.

High-resolution frequency estimation via a weighted forward and backward autoregressive modelling

Chrysostomos L. Nikias, Peter D. Scott, 1983, ICASSP.

Improved spectral resolution by energy-weighted prediction method

Chrysostomos L. Nikias, Peter D. Scott, 1981, ICASSP.

Utility-based sequential decision-making in evidential cooperative multi-agent systems

Peter D. Scott, C. Lollett, G. L. Rogova, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

An automatic segmentation method of the spinal canal from clinical MR images based on an attention model and an active contour model

Peter D. Scott, Vipin Chaudhary, Jaehan Koh, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Decision-Centric Framework for Density Forecasting

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2010, J. Adv. Inf. Fusion.

Approximate propagation of both epistemic and aleatory uncertainty through dynamic systems

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2010, 2010 13th International Conference on Information Fusion.

Vascular decomposition using weighted approximate convex decomposition

Thenkurussi Kesavadas, Peter D. Scott, Maxim Mokin, 2013, International Journal of Computer Assisted Radiology and Surgery.

A new robust 2-D spectral estimation method and its application in cardiac data analysis

Chrysostomos L. Nikias, Peter D. Scott, John H. Siegel, 1982, ICASSP.

Bayesian Estimation for CBRN Sensors with Non-Gaussian Likelihood

Peter D. Scott, Tarunraj Singh, Yang Cheng, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Object recognition using multi-layer Hopfield neural network

Nasser M. Nasrabadi, Susan S. Young, Peter D. Scott, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

A multiresolution approach for modeling of diffusion phenomenon

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2009, 2009 12th International Conference on Information Fusion.

A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2008, 2008 11th International Conference on Information Fusion.

Runtime Simulation for Post-Disaster Data Fusion Visualization

Thenkurussi Kesavadas, James Llinas, Peter D. Scott, 2006 .

3-D Vascular Skeleton Extraction and Decomposition

Peter D. Scott, Maxim Mokin, Ashirwad Joseph Chowriappa, 2014, IEEE Journal of Biomedical and Health Informatics.

Iterative Motion Compensation and Estimation in Magnetic Resonance Imaging (MRI)

Peter D. Scott, Joseph V. Fritz, Vernice Bates, 1989, Medical Imaging.

Object Recognition Using

Nasser M. Nasrabadi, Susan S. Young, Peter D. Scott, 1997 .

Decision based uncertainty propagation using adaptive Gaussian mixtures

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2009, 2009 12th International Conference on Information Fusion.

Foveal automatic target recognition using a multiresolution neural network

Susan S. Young, Peter D. Scott, Cesar Bandera, 1998, IEEE Trans. Image Process..

Active foveal object recognition system

Peter D. Scott, Qiang Lu, 2004 .

Data Assimilation for Dispersion Models

Peter D. Scott, Tarunraj Singh, Yang Cheng, 2006, 2006 9th International Conference on Information Fusion.

Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data pdf

Peter D. Scott, Tarunraj Singh, Gabriel Terejanu, 2011, ArXiv.

Uncertainty propagation in puff-based dispersion models using polynomial chaos

Peter D. Scott, Puneet Singla, Tarunraj Singh, 2009, 2009 12th International Conference on Information Fusion.

Source identification of puff-based dispersion models using convex optimization

Peter D. Scott, Tarunraj Singh, Yang Cheng, 2010, 2010 13th International Conference on Information Fusion.

3D Vascular Decomposition and Classification for Computer-Aided Detection

Peter D. Scott, Maxim Mokin, Ashirwad Joseph Chowriappa, 2013, IEEE Transactions on Biomedical Engineering.