The Pseudo Fisher Linear Discriminant (PFLD) based on a pseudo-inverse technique shows a peaking behaviour of the generalization error for training sample sizes that are about the...
The n-dimensional grid is one of the most representative patterns of data flow in parallel computation. The most frequently used scheduling models for grids is the unit execution ...
Theodore Andronikos, Nectarios Koziris, George K. ...
In this paper, we are concerned with the problem of designing optimal linear hashing files for orthogonal range retrieval. Through the study of performance expressions, we show th...
C. Y. Chen, Chin-Chen Chang, Richard C. T. Lee, D....
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple ta...