John C. Pearson

According to our database, John C. Pearson authored at least 17 papers between 1988 and 2004.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2004

Special issue on objective video quality metrics.

Sanjit K. Mitra, John C. Pearson, Jorge E. Caviedes

Signal Process. Image Commun., 2004

Accuracy and cross-calibration of video quality metrics: new methods from ATIS/T1A1.

Michael H. Brill, Jeffrey Lubin, Pierre Costa, Stephen Wolf, John C. Pearson

Signal Process. Image Commun., 2004

2002

Learning contextual relationships in mammograms using a pyramid neural network.

Paul Sajda, Clay Spence, John C. Pearson

IEEE Trans. Medical Imaging, 2002

Accuracy and cross-calibration of video-quality metrics: new methods from ATIS/T1A1.

Michael H. Brill, Jeffrey Lubin, Pierre Costa, John C. Pearson

Proceedings of the 2002 International Conference on Image Processing, 2002

2000

Video Quality Experts Group: current results and future directions.

Ann M. Rohaly, Philip J. Corriveau, John M. Libert, Arthur A. Webster, Vittorio Baroncini, John G. Beerends, Jean-Louis Blin, Laura Contin, Takahiro Hamada, David Harrison, Andries P. Hekstra, Jeffrey Lubin, Yukihiro Nishida, Ricardo Nishihara, John C. Pearson, Antonio F. Pessoa, Neil Pickford, Alexander Schertz, Massimo Visca, Andrew B. Watson, Stefan Winkler

Proceedings of the Visual Communications and Image Processing 2000, 2000

1996

Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications.

Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa

Proceedings of the Medical Imaging 1996: Image Processing, 1996

Robust distant-talking speech recognition.

John C. Pearson, Qiguang Lin, ChiWei Che, Dong-Suk Yuk, Limin Jin, Bert de Vries, James L. Flanagan

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

Integrating neural networks with image pyramids to learn target context.

Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson

Neural Networks, 1995

A hierarchical neural network architecture that learns target context: applications to digital mammography.

Paul Sajda, Clay Spence, John C. Pearson

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994

Coarse-to-Fine Image Search Using Neural Networks.

Clay Spence, John C. Pearson, Jim Bergen

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A Neural Network System for Large-Vocabulary Continuous Speech Recognition in Variable Acoustic Environments.

James L. Flanagan, Qiguang Lin, John C. Pearson, Bert de Vries

Proceedings of the Human Language Technology, 1994

Microphone Arrays and Neural Networks for Robust Speech Recognition.

ChiWei Che, Qiguang Lin, John C. Pearson, Bert de Vries, James L. Flanagan

Proceedings of the Human Language Technology, 1994

1993

Learning with target trajectory constraints for sequence classification tasks.

Bert de Vries, Leslie Dias, John C. Pearson

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

A Hybrid Linear/Nonlinear Approach to Channel Equalization Problems.

Wei-Tsih Lee, John C. Pearson

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1990

Applications of Neural Networks in Video Signal Processing.

John C. Pearson, Clay Spence, Ronald Sverdlove

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

The Computation of Sound Source Evaluation in the Barn Owl.

Clay Spence, John C. Pearson

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

Neuronal maps for sensory-motor control in the barn owl.

John C. Pearson, Clay Spence, J. J. Gelfand, W. E. Sullivan, R. M. Peterson

Neural Networks, 1988