Pii: S0031-3203(97)00004-6

Optimizing the cost matrix for approximate string matching using genetic algorithms

Digital representation schemes for 3d curves

Digital representation of three dimensional curves is considered. Two dimensional representation schemes are rst reviewed, then methods applicable to curves in three and higher dimensional spaces are described. Desirable properties of curve representation schemes are identiied and used as a basis for qualitative and quantitative comparison of the various methods that have been suggested. Conclu...

Unsupervised parallel image classification using Markovian models

Cochannel speaker count labelling based on the use of cepstral and pitch prediction derived features

Cochannel interference of speech signals is a common practical problem particularly in tactical communications. Ideally, separation of the individual speech signals is desired. However, it is known that when two equal bandwidth signals are added, such a separation is not possible. We examine the problem of identifying temporal regions or frames as being either one-speaker or two-speaker speech....

Relaxation labeling using augmented lagrange-hopfield method

A novel relaxation labeling (RL) method is presented based on Augmented Lagrangian multipliers and the graded Hoppeld neural network (ALH). In this method, an RL problem is converted into a constrained optimization problem and solved by using the augmented Lagrangian and Hoppeld techniques. The ALH method yields results comparable to the best of the existing RL algorithms in terms of the optimi...