M. Basu

Computational connected cellular network - a novel learning system to study bone formation

Stephen C. Cowin, Li Yuan Mi, M. Basu, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Linear Separability in Descent Procedures for Linear Classifiers

Tin Kam Ho, M. Basu, 2006 .

Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)

Tin Kam Ho, M. Basu, T. Ho, 2006 .

Measures of Geometrical Complexity in Classification Problems

Tin Kam Ho, Martin H. C. Law, M. Basu, 2006 .

Input data clustering to improve neural network performance

Min Su, M. Basu, M. Basu, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Multi-scale modeling of textures

M. Basu, Z. Lin, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

A learning algorithm for computational connected cellular network

Stephen C. Cowin, Li Yuan Mi, M. Basu, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Biologically motivated computational models

J. Timmis, M. Basu, D. D. Lee, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Image synthesis using multiscale model

M. Basu, M. Basu, 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

Scale space contours and localization property of a Gaussian derivative edge enhancement operator

M. Basu, L. M. Kennedy, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

An experiment with Gaussian derivatives for image enhancement

M. Basu, L. M. Kennedy, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.