Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic en...
A new adaptive algorithm, called LLMS, which employs an array image factor, IA , sandwiched in between two Least Mean Square (LMS) sections, is proposed for different applications ...
Jalal Abdulsayed Srar, Kah-Seng Chung, Ali Mansour
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by...
: Finding the rotational matrix that minimizes the sum of squared deviations between two vectors is an important problem in bioinformatics and crystallography. Traditional algorith...
Pu Liu, Dimitris K. Agrafiotis, Douglas L. Theobal...