K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
This study explores the firm’s readiness for developing emerging technology in e−business. By proposing a framework that captures technological, financial, and human capabilit...
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Abstract. This paper presents an approach for monitoring several important aspects related to user behaviour during the execution of Web tasks1 . The approach includes the tracking...