In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Abstract- This paper deals with "Knowledge Management Systems" (KMS) which are seen as a new kind of information systems supporting organizational information processing....
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Dynamic memory management and the use of pointers are critical topics in teaching the C++ language. They are also some of the most difficult for students to grasp properly. The re...
OpenMP has gained wide popularity as an API for parallel programming on shared memory and distributed shared memory platforms. Despite its broad availability, there remains a need ...
Chunhua Liao, Oscar Hernandez, Barbara M. Chapman,...