John B. Hampshire

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Connectionist Architectures for Multi-Speaker Phoneme Recognition

Alexander H. Waibel, John B. Hampshire, 1989, NIPS.

Differential theory of learning for efficient neural network pattern recognition

Bhagavatula Vijaya Kumar, John B. Hampshire, 1993, Defense, Security, and Sensing.

Differential theory of learning for efficient neural network pattern recognition

Bhagavatula Vijaya Kumar, John B. Hampshire, 1993, Defense, Security, and Sensing.

Agent-based moving object correspondence using differential discriminative diagnosis

Pradeep K. Khosla, John B. Hampshire, Mahesh Saptharishi, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Diagnosing and correcting system anomalies with a robust classifier

John B. Hampshire, David A. Watola, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers

B. V. K. Vijaya Kumar, John B. Hampshire, J. Hampshire, 1991, NIPS.

Collaborative surveillance using both fixed and mobile unattended ground sensor platforms

Pradeep K. Khosla, Christopher P. Diehl, John B. Hampshire, 1999, Defense, Security, and Sensing.

Efficient autonomous learning for statistical pattern recognition

Bhagavatula Vijaya Kumar, John B. Hampshire, 1994, Defense, Security, and Sensing.

Tobit maximum-likelihood estimation for stochastic time series affected by receiver saturation

John B. Hampshire, John W. Strohbehn, J. Hampshire, 1992, IEEE Trans. Inf. Theory.

Differential learning leads to efficient neural network classifiers

B. V. K. Vijaya Kumar, Josef Bigün, John B. Hampshire, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A novel objective function for improved phoneme recognition using time delay neural networks

Alexander H. Waibel, John B. Hampshire, A. Waibel, 1990, International 1989 Joint Conference on Neural Networks.

The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition

Alexander H. Waibel, John B. Hampshire, A. Waibel, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Collaborative Surveillance using Both Fixed and Mobile Unattended Sensor Platforms

Pradeep K. Khosla, Christopher P. Diehl, John B. Hampshire, 2015 .