In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Abstract. In a service-oriented world, a long-running business process can be implemented as a set of stateful services that represent the individual but coordinated steps that mak...
Surya Nepal, Alan Fekete, Paul Greenfield, Julian ...
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on...
BPEL is the de facto standard for business process modeling in today's enterprises and is a promising candidate for the integration of business and scientific applications tha...
This paper proposes a new approach to combined spatial (Intra) prediction and adaptive transform coding in block-based video and image compression. Context-adaptive spatial predic...