Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
This paper extends the resource-based view of the firm to a less developed country situation by challenging three boundary conditions associated with the theory: first, the theory...
Traditionally, quantitative image quality analytical methods rely on large hardware in fixed installations. There are many situations when portability is required, where these met...
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...
This paper describes a classification method for rotated and scaled textured images using invariant parameters based on spectral-moments. Although it is well known that rotation i...