Peter W. Pachowicz

Affiliations:
  • George Mason University, Fairfax, Virginia, USA


According to our database1, Peter W. Pachowicz authored at least 26 papers between 1984 and 2005.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2005
Visualization for Genetic Evolution of Target Movement in Battle Fields.
Proceedings of the Computational Science, 2005

Moving Target Prediction Using Evolutionary Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
A Naïve Geography Analyst System with Cognitive Support of Imagery Exploitation.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Genetic Evolution Approach for Target Movement Prediction.
Proceedings of the Computational Science, 2004

2002
Online model modification for adaptive texture recognition in image sequences.
IEEE Trans. Syst. Man Cybern. Part A, 2002

2001
Text Categorization through Multistrategy Learning and Visualization.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2001

2000
Adaptive RBF Classifier for Object Recognition in Image Sequences.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

On-Line Model Modification for Adaptive Object Recognition.
Proceedings of the ECAI 2000, 2000

Evaluation of Adaptive NN-RBF Classifier Using Gaussian Mixture Density Estimates.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
Adaptive object recognition based on the radial basis function paradigm.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
The Fusion of Supervised and Unsupervised Techniques for Segmentation of Abnormal Regions.
Proceedings of the Digital Mammography, 1998

Mammographic Region of Interest Database Retrieval and Indexing Engine.
Proceedings of the Digital Mammography, 1998

1996
Learning with Noise in Engineering Domains.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

1994
Semi-Autonomous Evolution of Object Models for Adaptive Object Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 1994

A Noise-Tolerant Approach to Symbolic Learning from Sensory Data.
J. Intell. Fuzzy Syst., 1994

1992
Recognizing Noisy Patterns via Iterative Optimization and Matching of Their Descriptions.
Int. J. Pattern Recognit. Artif. Intell., 1992

Iterative Rule Simplification for Noise Tolerant Inductive Learning.
Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992

A Learning-Based Evolution of Concept Descriptions for an Adaptive Object Recognition.
Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992

1991
Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Improving Recognition Effectiveness of Noisy Texture Concepts.
Proceedings of the Eighth International Workshop (ML91), 1991

1990
Integrating Low-Level Features Computation with Inductive Learning Techniques for Texture Recognition.
Int. J. Pattern Recognit. Artif. Intell., 1990

Learning-based architecture for robust recognition of variable texture to navigate in natural terrain.
Proceedings of the IEEE International Workshop on Intelligent Robots and Systems '90, 1990

1989
Image processing by software parallel computation.
Image Vis. Comput., 1989

Low-level numerical characteristics and inductive learning methodology in texture recognition.
Proceedings of the IEEE International Workshop on Tools for Artificial Intelligence: Architectures, 1989

1986
Time effects comparison for software computation of images.
Pattern Recognit. Lett., 1986

1984
Image processing and analysis of the grain constitution in minerals.
Image Vis. Comput., 1984


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