Kuo-Chu Chang

发表

A multi-disciplinary approach to high level fusion in predictive situational awareness

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2009, 2009 12th International Conference on Information Fusion.

Probabilistic reasoning and risk-constrained dynamic spectrum access

Kuo-Chu Chang, Todd W. Martin, 2017, 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

A Review of Forty Years of Distributed Estimation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Tracking Aircraft by Acoustic Sensors; Multiple Hypothesis Approach Applied to Possibly Unresolved Measurements

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1987, 1987 American Control Conference.

A causal reasoning approach to DSA situational awareness and decision-making

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2013, Proceedings of the 16th International Conference on Information Fusion.

Bias correction using background stars for space-based IR tracking

Kuo-Chu Chang, Thomas M. Clemons, 2009, 2009 12th International Conference on Information Fusion.

Centralized fusion of remote tracks

Kuo-Chu Chang, Rajat K. Saha, Kuo-Chu Chang, 1998 .

Analysis of a probability-based SATCOM situational awareness model for parameter estimation

Genshe Chen, Kuo-Chu Chang, Xin Tian, 2016, SPIE Defense + Security.

Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 2013, UAI.

Risk-based pricing for secondary spectrum access

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

DISTRIBUTED ESTIMATION IN DISTRIBUTED SENSOR NETWORKS (MULTI-TARGET TRACKING, INFORMATION FUSION)

Kuo-Chu Chang, Kuo-Chu Chang, 1986 .

SAR classification and polarimetric fusion

Kuo-Chu Chang, Sherman Karp, Andrew Hauter, 1996, Defense, Security, and Sensing.

Comparison of track fusion rules and track association metrics

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012, 2012 15th International Conference on Information Fusion.

Architectures and algorithms for track association and fusion

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2000 .

Prediction of kk Parity and Tkack Accuracy in Dense met Environments

Kuo-Chu Chang, Chee-Yee Chong, Shom Mori, 1995 .

Fusion of synchronous tracks

Kuo-Chu Chang, Mieczyslaw M. Kokar, Rajat K. Saha, 1997, Defense, Security, and Sensing.

Performance evaluation of track initiation in dense target environments

Kuo-Chu Chang, Chee-Yee Chong, S. Mori, 1994 .

Symbolic Probabilistic Inference with Evidence Potential pdf

Kuo-Chu Chang, Robert M. Fung, 1991, UAI.

A Hybrid Convergent Method for Learning Probabilistic Networks

Jing Zhou, Kuo-Chu Chang, Jun Liu, 1998, Canadian Conference on AI.

High-Level Information Fusion with Bayesian Semantics

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2012, BMA.

Comparison of nonlinear estimation for ballistic missile tracking

Kuo-Chu Chang, Brian G. Saulson, Kuo-Chu Chang, 2003, SPIE Defense + Commercial Sensing.

Symbolic probabilistic inference with both discrete and continuous variables

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 1995, IEEE Trans. Syst. Man Cybern..

Modular neural net architecture for automatic target recognition

Kuo-Chu Chang, Shulin Yang, 1996, Defense, Security, and Sensing.

Neural network approach for high-resolution target classification

Kuo-Chu Chang, Yi-Chuan Lu, 1995, Defense, Security, and Sensing.

Bayesian probabilistic inference for target recognition

Kuo-Chu Chang, Jun Liu, Jing Zhou, 1996, Defense, Security, and Sensing.

Joint probabilistic data association for multitarget tracking with possibly unresolved measurements and maneuvers

Kuo-Chu Chang, Y. Bar-Shalom, Y. Bar-Shalom, 1984 .

Tracking with UAV using tangent-plus-Lyapunov vector field guidance

Kuo-Chu Chang, Hongda Chen, Craig S. Agate, 2009, 2009 12th International Conference on Information Fusion.

Model Learning With Bayesian Networks for Target Recognition

Kuo-Chu Chang, Jun Liu, 1998 .

Scalable fusion with mixture distributions in sensor networks

Kuo-Chu Chang, Wei Sun, Kuo-Chu Chang, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

A linear predictive bandwidth conservation algorithm for situation awareness

Kuo-Chu Chang, Xiaoyan Yin, R. K. Saha, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

An initial study of DSA cost and capacity trades under imperfect awareness

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

Fundamentals of distributed estimation and tracking

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012, Defense + Commercial Sensing.

Comparison of score metrics for Bayesian network learning

Kuo-Chu Chang, Shulin Yang, 2002, IEEE Trans. Syst. Man Cybern. Part A.

Prediction of track purity and track accuracy in dense target environments

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1995, IEEE Trans. Autom. Control..

Refinement and coarsening of Bayesian networks

Kuo-Chu Chang, Robert M. Fung, 1990, UAI.

Nonlinear estimation comparison for ballistic missile tracking

Kuo-Chu Chang, Brian G. Saulson, 2004 .

A performance evaluation tool for multi-sensor classification systems

Kuo-Chu Chang, Rommel N. Carvalho, Kuo-Chu Chang, 2009, 2009 12th International Conference on Information Fusion.

Hybrid message passing for mixed bayesian networks

Kuo-Chu Chang, Wei Sun, Kuo-Chu Chang, 2007, 2007 10th International Conference on Information Fusion.

High-level fusion: Issues in developing a formal theory

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2010, 2010 13th International Conference on Information Fusion.

Feature-based target recognition with Bayesian inference

Kuo-Chu Chang, Jun Liu, 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

On scalable distributed sensor fusion

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2008, 2008 11th International Conference on Information Fusion.

Symbolic Probabilistic Inference with Continuous Variables

Kuo-Chu Chang, Robert M. Fung, Kuo-Chu Chang, 1994, UAI.

Node Aggregation for Distributed Inference in Bayesian Networks

Kuo-Chu Chang, Robert M. Fung, 1989, IJCAI.

Probabilistic Reasoning for Secondary Spectrum Sharing: A Mechanism for Increasing Spectrum Access Efficiency and Assessing Alternative Secondary Sharing Models

Kuo-Chu Chang, Todd Martin, 2016 .

Modeling a probabilistic ontology for Maritime Domain Awareness

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2011, 14th International Conference on Information Fusion.

Performance evaluation of a multiple-hypothesis multi-target tracking algorithm

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1990, 29th IEEE Conference on Decision and Control.

Adaptive detection thresholds for multitarget tracking

Kuo-Chu Chang, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Distributed adaptive estimation with probabilistic data association

Kuo-Chu Chang, Yaakov Bar-Shalom, 1989, Autom..

Probabilistic reasoning and risk-constrained dynamic spectrum access

Kuo-Chu Chang, Todd Martin, Kuo-Chu Chang, 2017, 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

UAV Path Planning with Tangent-plus-Lyapunov Vector Field Guidance and Obstacle Avoidance

Kuo-Chu Chang, Hongda Chen, Craig S. Agate, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Weighted Kullback-Leibler average-based distributed filtering algorithm

Kuo-Chu Chang, Rui Zhou, Kelin Lu, 2015, Defense + Security Symposium.

Assessing user decision behaviors for Dynamic Spectrum Sharing and pricing models

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Information Fusion in Distributed Sensor Networks

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1985, 1985 American Control Conference.

Tracking Multiple Air Tragets with Distributed Acoustic Sensors

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1987, 1987 American Control Conference.

Target identification with Bayesian networks in a multiple hypothesis tracking system

Kuo-Chu Chang, Robert Fung, 1997 .

Essence of Distributed Target Tracking: Track Fusion and Track Association

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2012 .

PROGNOS: Predictive situational awareness with probabilistic ontologies

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, 2010, 2010 13th International Conference on Information Fusion.

A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2006, 2006 9th International Conference on Information Fusion.

A simplification of the JPDAM algorithm

Kuo-Chu Chang, Yaakov Bar-Shalom, 1986 .

A Quantitative Analysis on the Impact of Spectrum Access Policy Flexibility and DSA System Capability on Spectrum Sharing Potential

Kuo-Chu Chang, Todd Martin, Todd W. Martin, 2013 .

Multistation data fusion for code-division multiple access wireless communications

Kuo-Chu Chang, Zhi Tian, 2003 .

Multisensor Track-to-Track Fusion for Airborne Surveillance Systems.

Kuo-Chu Chang, R. K. Saha, M. M. Kokar, 1996 .

High Level Fusion and Predictive Situational Awareness with Probabilistic Ontologies

Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho, 2010 .

A greedy assignment algorithm and its performance evaluation

Kuo-Chu Chang, Xinhai Zhao, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Multitarget tracking with adaptive detection thresholds

Kuo-Chu Chang, 1996 .

Three formalisms of multiple hypothesis tracking

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Scalable inference for hybrid Bayesian networks with full density estimations

Kuo-Chu Chang, Kathryn B. Laskey, Wei Sun, 2010, 2010 13th International Conference on Information Fusion.

Track association and fusion using Janossy measure density functions

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2009, 2009 12th International Conference on Information Fusion.

Synthetic aperture radar hybrid ATR system

Kuo-Chu Chang, Andrew Hauter, 1996, Defense, Security, and Sensing.

Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks

Kuo-Chu Chang, Wei Sun, 2007, AAAI.

Polarimetric fusion for synthetic aperture radar target classification

Kuo-Chu Chang, Sherman Karp, Andrew Hauter, 1997, Pattern Recognit..

Evaluating a linear predictive algorithm for bandwidth conservation

Kuo-Chu Chang, Xiaoyan Yin, Rajat K. Saha, 2000, IEEE Trans. Aerosp. Electron. Syst..

Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking

Kuo-Chu Chang, Thomas M. Clemons, Kuo-Chu Chang, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Pattern Discovery and Anomaly Detection via Knowledge Graph

Genshe Chen, Kuo-Chu Chang, Bin Jia, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Level I and Level II Target Valuations for Sensor Management

Kuo-Chu Chang, Joe P. Hill, Kuo-Chu Chang, 2006, J. Adv. Inf. Fusion.

Tracking and fusion using multiple sensors

Kuo-Chu Chang, 1994 .

Comparison of optimal distributed estimation and consensus filtering

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Situational awareness uncertainty impacts on Dynamic Spectrum Access performance

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2014, 17th International Conference on Information Fusion (FUSION).

A probabilistic situational awareness and reasoning methodology for satellite communications resource management

Genshe Chen, Erik Blasch, Kuo-Chu Chang, 2015, 2015 IEEE Aerospace Conference.

An application of interacting multiple model tracking method to financial modeling and asset allocation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Tracking Performance Evaluation

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 1988 .

Probabilistic Inference for Hybrid Bayesian Networks

Kuo-Chu Chang, Wei Sun, 2012 .

Learning Bayesian networks with a hybrid convergent method

Jing Zhou, Kuo-Chu Chang, Jun Liu, 1999, IEEE Trans. Syst. Man Cybern. Part A.

A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems

Kuo-Chu Chang, Rommel N. Carvalho, 2012, J. Adv. Inf. Fusion.

Stochastic approximation approach to predictive encoding for bandwidth saving in situation awareness

Kuo-Chu Chang, Rajat K. Saha, K. Lee, 1998, Defense, Security, and Sensing.

Performance prediction of feature-aided track-to-track association

Kuo-Chu Chang, Chee-Yee Chong, Shozo Mori, 2014, IEEE Transactions on Aerospace and Electronic Systems.

High resolution polarimetric SAR target classification with neural network

Kuo-Chu Chang, Yi-Chuan Lu, 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

A decision and utility theory construct for dynamic spectrum access systems

Kuo-Chu Chang, Todd Martin, 2012, Defense, Security, and Sensing.

Bridging Heuristic and Deep Learning Approaches to Sensor Tasking

Kathryn Laskey, Kuo-Chu Chang, Kathryn B. Laskey, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Development and analysis of a probabilistic reasoning methodology for spectrum situational awareness and parameter estimation in uncertain environments

Kuo-Chu Chang, Todd W. Martin, Kuo-Chu Chang, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Proceedings of the third international conference on information fusion

Pramod K. Varshney, Kuo-Chu Chang, David Schum, 2000, Proceedings of the Third International Conference on Information Fusion.

Performance evaluation of multi-sensor classification systems

Kuo-Chu Chang, E. Sivaraman, Kuo-Chu Chang, 2007, IEEE Transactions on Aerospace and Electronic Systems.