Chi Hau Chen

Affiliations:
  • University of Massachusetts Dartmouth, MA, USA


According to our database1, Chi Hau Chen authored at least 71 papers between 1966 and 2022.

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

Awards

IEEE Fellow

IEEE Fellow 1988, "For contributions to statistical pattern recognition and its application to geophysical, underwater acoustics, and ultrasonic nondestructive evaluations.".

Timeline

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Links

On csauthors.net:

Bibliography

2022
Computational Intelligence and Image Processing in Medical Applications
Series in Computer Vision 8, WorldScientific, ISBN: 9789811257469, 2022

2014
Automatic Segmentation of Intravascular Ultrasound Images based on Temporal Texture Analysis.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2011
A set of new Chebyshev kernel functions for support vector machine pattern classification.
Pattern Recognit., 2011

Feature selection for support vector machines with RBF kernel.
Artif. Intell. Rev., 2011

2010
Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection.
Proceedings of the Structural, 2010

2008
Remote Sensing Information Processing.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Statistical pattern recognition in remote sensing.
Pattern Recognit., 2008

Multivariate AR Model based Support Vector Machine for Multispectral Remote Sensing Image Classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Generalized Chebyshev Kernels for Support Vector Classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Transform methods for remote sensing environmental monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Gaussian mixture model for underdetermined independent component analysis.
Signal Process., 2006

Factor Analysis for Geophysical Signal Processing with Seismic Profiles.
Proceedings of the International Joint Conference on Neural Networks, 2006

ICA and Factor Analysis Application in Seismic Profiling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005
Blind signal separation and reverberation cancelling with active sonar data.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

2004
Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images.
J. VLSI Signal Process., 2004

Time series model based region growing method for image segmentation in remote sensing images.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

A novel theory of SAR image restoration and enhancement with ICA.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2002
Two-dimensional H<sub>∞</sub>-based blind deconvolution for image enhancement with applications to ultrasonic NDE.
IEEE Signal Process. Lett., 2002

The use of independent component analysis as a tool for data mining.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Hyperspectral image data unsupervised classification using Gauss-Markov random fields and PCA principle.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Recent Trends in 2D Blind Deconvolution for Nondestructive Evaluation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Signal Processing for Preserving the Environment.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Blind image restoration for ultrasonic C-scan using constrained 2D-HOS.
Proceedings of the IEEE International Conference on Acoustics, 2001

1999
Using neural networks for fiber content analysis.
Proceedings of the International Joint Conference Neural Networks, 1999

Analysis and prediction of cranberry growth with dynamical neural network models.
Proceedings of the International Joint Conference Neural Networks, 1999

Deconvolution of ultrasonic nondestructive evaluation signals using higher-order statistics.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
New image-compression algorithm using wavelet analysis.
Proceedings of the Visual Information Processing VII, Orlando, FL, USA, April 13, 1998, 1998

Traffic video compression system using wavelet analysis.
Proceedings of the Mobile Robots XIII and Intelligent Transportation Systems, Boston, 1998

1997
Image segmentation using multiresolution wavelet analysis and expectation-maximization (EM) algorithm for digital mammography.
Int. J. Imaging Syst. Technol., 1997

On Digital Mammogram Segmentation and Microcalcification Detection Using Multiresolution Wavelet Analysis.
CVGIP Graph. Model. Image Process., 1997

A learning algorithm for improved recurrent neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
A sample set condensation algorithm for the class sensitive artificial neural network.
Pattern Recognit. Lett., 1996

A multiresolution wavelet analysis of digital mammograms.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

On the small sample behavior of the class-sensitive neural network.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Multiresolution wavelet analysis based feature extraction for neural network classification.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Fuzzy logic and neural network handbook.
McGraw-Hill, ISBN: 978-0-07-011189-9, 1996

1993
Class sensitive neural networks.
Neural Parallel Sci. Comput., 1993

Neural networks for ultrasonic NDE signal classification using time-frequency analysis.
Proceedings of the IEEE International Conference on Acoustics, 1993

Pattern Recognition in Nondestructive Evaluation of materials.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 1993

1992
A comparison of deconvolution techniques for the ultrasonic nondestructive evaluation of materials.
IEEE Trans. Image Process., 1992

ISBN recognition using a modified probabilistic neural network (PNN).
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Neural networks for active sonar classification.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
On the Relationships between Statistical Pattern Recognition and Artificial Neural Networks.
Int. J. Pattern Recognit. Artif. Intell., 1991

1990
A comparison of neural network models for pattern recognition.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

1989
Applying and validating neural network technology for nondestructive evaluation of materials.
Proceedings of the IEEE International Conference on Systems, 1989

1987
Pattern Analysis for the Ultrasonic Nondestructive Evaluation of Materials.
Int. J. Pattern Recognit. Artif. Intell., 1987

Statistical Pattern Recognition - Early Development and Recent Progress.
Int. J. Pattern Recognit. Artif. Intell., 1987

Laplacian pyramid image data compression.
Proceedings of the IEEE International Conference on Acoustics, 1987

1985
Recognition of underwater transient patterns.
Pattern Recognit., 1985

Automatic recognition of underwater transient signals - a review.
Proceedings of the IEEE International Conference on Acoustics, 1985

1984
Characterization and recognition of underwater transient signals.
Proceedings of the IEEE International Conference on Acoustics, 1984

1983
A final report of IEEE workshop on applied time series analysis.
IEEE Trans. Syst. Man Cybern., 1983

Pattern recognition processing in underwater acoustics.
Pattern Recognit., 1983

Introduction.
Inf. Sci., 1983

Introduction to geophysical signal analysis and modeling.
Inf. Sci., 1983

1982
Adaptive and Learning Algorithms for Seismic Detection of Personnel.
IEEE Trans. Pattern Anal. Mach. Intell., 1982

Introduction to the Special Section.
IEEE Trans. Pattern Anal. Mach. Intell., 1982

On the Fougere's maximum entropy spectral analysis method.
Proceedings of the IEEE International Conference on Acoustics, 1982

1979
On state-space signal processing with application to image enhancement.
Proceedings of the IEEE International Conference on Acoustics, 1979

Statistical image processing and recognition.
Proceedings of the IEEE Computer Society's Third International Computer Software and Applications Conference, 1979

1978
Note on a modified gradient method for image analysis.
Pattern Recognit., 1978

On digital signal modelling and classification with the teleseismic data.
Proceedings of the IEEE International Conference on Acoustics, 1978

1976
On information and distance measures, error bounds, and feature selection.
Inf. Sci., 1976

1975
On a class of computationally efficient feature selection criteria.
Pattern Recognit., 1975

1974
Comments on "Spectrum of Manchester Coded FSK".
IEEE Trans. Commun., 1974

1972
Author's Reply.
IEEE Trans. Computers, 1972

1971
Theoretical Comparison of a Class of Feature Selection Criteria in Pattern Recognition.
IEEE Trans. Computers, 1971

1969
A Theory of Bayesian Learning Systems.
IEEE Trans. Syst. Sci. Cybern., 1969

1968
Computer Processing of Radiation Sensor PCM Data.
IEEE Trans. Computers, 1968

1966
A Note on Sequential Decision Approach to Pattern Recognition and Machine Learning
Inf. Control., December, 1966


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