Peter W. Pachowicz

发表

Image processing and analysis of the grain constitution in minerals

Peter W. Pachowicz, P. Pachowicz, 1984, Image Vis. Comput..

Text Categorization through Multistrategy Learning and Visualization

Jerzy W. Bala, Ali Hadjarian, Peter W. Pachowicz, 2001, CICLing.

Recognizing Noisy Patterns via Iterative Optimization and Matching of Their Descriptions

Jerzy W. Bala, Peter W. Pachowicz, 1992, Int. J. Pattern Recognit. Artif. Intell..

Rapid SAR target modeling through genetic inheritance mechanism

Peter W. Pachowicz, Jerzy Bala, Halleh Vafaie, 1997, Defense, Security, and Sensing.

The Fusion of Supervised and Unsupervised Techniques for Segmentation of Abnormal Regions

Jerzy W. Bala, Ali Hadjarian, Peter W. Pachowicz, 1998, Digital Mammography / IWDM.

Model evolution methodology for adaptive object recognition under dynamic perceptual conditions

Sung Wook Baik, Peter W. Pachowicz, 1998, Defense, Security, and Sensing.

Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods

Jerzy W. Bala, Peter W. Pachowicz, Kenneth DeJong, 1991, ISMIS.

Iterative rule simplification for noise tolerant inductive learning

Jerzy W. Bala, Peter W. Pachowicz, Jianping Zhang, 1992, Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92.

GMU Research on Learning in Vision: Initial Results

Peter W. Pachowicz, Ryszard S. Michalski, Jerzy Bala, 1993 .

Integrating Low-Level Features Computation with Inductive Learning Techniques for Texture Recognition

Peter W. Pachowicz, P. Pachowicz, 1990, Int. J. Pattern Recognit. Artif. Intell..

Learning with Noise in Engineering Domains

Jerzy W. Bala, Peter W. Pachowicz, Harry Wechsler, 1996, ISMIS.

On-Line Model Modification for Adaptive Object Recognition

Sung Wook Baik, Peter W. Pachowicz, S. Baik, 2000, ECAI.

Time effects comparison for software computation of images

Peter W. Pachowicz, 1986, Pattern Recognit. Lett..

A multiple classifier learning methodology for feature-space heterogeneous text categories

Ali Hadjarian, Peter W. Pachowicz, 2007 .

Development of a robust algorithm for detection of mine targets in image data from electro-optic and acoustic sensors

Peter W. Pachowicz, James D. Habersat, George B. Maksymonko, 2001, SPIE Defense + Commercial Sensing.

Improving Recognition Effectiveness of Noisy Texture Concepts

Jerzy W. Bala, Peter W. Pachowicz, P. Pachowicz, 1991, ML.

Online model modification for adaptive texture recognition in image sequences

Sung Wook Baik, Peter W. Pachowicz, S. Baik, 2002, IEEE Trans. Syst. Man Cybern. Part A.

Genetic Evolution Approach for Target Movement Prediction

Sung Wook Baik, Jerzy W. Bala, Ali Hadjarian, 2004, International Conference on Computational Science.

AdaptSAPS utility for adaptive ATR development and assessment

Peter W. Pachowicz, Arnold C. Williams, James D. Leonard, 2004, SPIE Defense + Commercial Sensing.

Low-level numerical characteristics and inductive learning methodology in texture recognition

Peter W. Pachowicz, P. Pachowicz, 1989, [Proceedings 1989] IEEE International Workshop on Tools for Artificial Intelligence.

A learning-based evolution of concept descriptions for an adaptive object recognition

Peter W. Pachowicz, 1992, Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92.

Fusion Of Vision And Touch For Spatio-Temporal Reasoning In Learning Manipulation Tasks

Peter W. Pachowicz, Jan M. Zytkow, 1990, Other Conferences.

Image processing by software parallel computation

Peter W. Pachowicz, 1989, Image Vis. Comput..

Statistically significant performance results of a mine detector and fusion algorithm from an x-band high-resolution SAR

Peter W. Pachowicz, Arnold C. Williams, 2004, SPIE Defense + Commercial Sensing.

Adaptive RBF classifier for object recognition in image sequences

Sung Wook Baik, Peter W. Pachowicz, S. Baik, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Multistrategy Learning from Engineering Data by Integrating Inductive Generalization and Genetic Alg

Peter W. Pachowicz, Kenneth de Jong, Jerzy Bala, 1994 .

The Monk''s Problem''s: A Performance Comparison of Different Learning Methods

Ivan Bratko, Peter W. Pachowicz, Sebastian Thrun, 1991 .

Robust detection and fusion of mine images

Peter W. Pachowicz, George B. Maksymonko, Arnold C. Williams, 2002, SPIE Defense + Commercial Sensing.

Novel architecture for expert-assisted decision-level fusion

Peter W. Pachowicz, Arnold C. Williams, Larry Ronk, 1997, Defense, Security, and Sensing.

Expert assisted, adaptive, and robust fusion architecture

Peter W. Pachowicz, Arnold C. Williams, Larry Ronk, 1998 .

Model modification methodology for adaptive object recognition in a sequence of images

Sung Wook Baik, Peter W. Pachowicz, 1999 .

Building and analyzing timed influence net models with internet-enabled pythia

Peter W. Pachowicz, Alexander H. Levis, John Pham, 2007, SPIE Defense + Commercial Sensing.

Computational Modeling of Cultural Dimensions in Adversary Organizations

Peter W. Pachowicz, Alexander H. Levis, Kathleen M. Carley, 2010 .

Evaluation of Adaptive NN-RBF Classifier Using Gaussian Mixture Density Estimates

Sung Wook Baik, Peter W. Pachowicz, Sung Mahn Ahn, 2000, Biologically Motivated Computer Vision.

A Naïve Geography Analyst System with Cognitive Support of Imagery Exploitation

Sung Wook Baik, Jerzy W. Bala, Ali Hadjarian, 2004, MICAI.

Machine Learning and Vision: Research Issues and Promising Directions

Azriel Rosenfeld, Peter W. Pachowicz, Ryszard S. Michalski, 1993 .

Mammographic Region of Interest Database Retrieval and Indexing Engine

Jerzy W. Bala, Ali Hadjarian, Peter W. Pachowicz, 1998, Digital Mammography / IWDM.

Learning-based architecture for robust recognition of variable texture to navigate in natural terrain

Peter W. Pachowicz, P. Pachowicz, 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

Adaptive object recognition based on the radial basis function paradigm

Sung Wook Baik, Peter W. Pachowicz, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Moving Target Prediction Using Evolutionary Algorithms

Sung Wook Baik, Jerzy W. Bala, Ali Hadjarian, 2005, Canadian Conference on AI.

Supporting Coalition Operations of Target Movements Exploration Through Evolutionary Computation and 3-d Visualisation

Peter W. Pachowicz, Jerzy Bala, Robert A. Witham, 2002 .

A Robust Mine Detection Algorithm for Acoustic and Radar Images

Peter W. Pachowicz, George B. Maksymonko, Arnold C. Williams, 2000 .

A Noise-Tolerant Approach to Symbolic Learning from Sensory Data

Jerzy W. Bala, Peter W. Pachowicz, P. Pachowicz, 1994, J. Intell. Fuzzy Syst..

THE APPLICATION OF SYMBOLIC INDUCTIVE LEARNING TO THE ACQUISITION AND RECOGNITION OF NOISY TEXTURE CONCEPTS

Peter W. Pachowicz, 1991 .

Rapid database prototyping of IR images using simplified physics laws

Peter W. Pachowicz, James Bonick, Gary F. O'Brien, 2002, SPIE Defense + Commercial Sensing.

Progress on Vision Through Learning at George Mason University

Peter W. Pachowicz, Ryszard S. Michalski, Jerzy Bala, 1994 .

LEARNING INVARIANT TEXTURE CHARACTERISTICS IN DYNAMIC ENVIRONMENTS : A model evolution approach

Peter W. Pachowicz, P. Pachowicz, 1991 .

A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems

Peter W. Pachowicz, Kenneth A. Kaufman, Ryszard S. Michalski, 1992 .