Gang scheduling is considered to be a highly effective task scheduling policy for distributed systems. In this paper we present a migration scheme which reduces the fragmentation ...
Annotation-based discussions are an important concept for today's digital libraries and those of the future, containing additional information to and about the content managed...
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...