Edge guided single depth image super resolution
Jun Xie, Rogerio Schmidt Feris, et al.
ICIP 2014
Almost all medium- and large-scale businesses rely on electronic workflow systems to manage their business processes. A key challenge is to enable the easy re-use and modification of these workflow schemas and their piece-parts, so that they can be adapted to new business situations. This paper describes an approach for automatic construction (and thus, evolution) of a workflow schema that satisfies a specified condition (or "goal"), starting from a set of basic building block services (or "tasks"). We use a workflow model based on "business artifacts", which represent key (real or conceptual) business entities, and include both the business-relevant data about them and a specification of their lifecycle, that is, how they can evolve over time as they move through the workflow as the result of services being applied to them. This paper uses a declarative form of artifact-centric workflow. The services are non-deterministic, which corresponds to the intuition that humans performing the services may rely on information that is not modeled within the framework. We study the problem of, given a goal to be achieved, automatically finding the "maximal" workflow schema that has the following property: every execution is either complete or can be completed, and every complete execution satisfies the goal. We also study a complimentary problem, in which exception-handling is used to deal with executions that would otherwise not complete successfully. These problems are non-trivial because the workflow services are non-deterministic. This paper provides a general framework for studying these problems, and shows a tight relationship between workflow systems specified using logics that permit quantifier elimination and the ability to construct maximal schemas with the desired properties. The paper then studies a restricted setting to provide insights into complexity issues. Even in the restricted setting, the problem of testing properties of maximal workflows is PSPACE-complete. Copyright 2009 ACM.
Jun Xie, Rogerio Schmidt Feris, et al.
ICIP 2014
Eugene H. Ratzlaff
ICDAR 2001
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
Jonathan H. Connell, Nalini K. Ratha, et al.
ICIP 2002