Finite domain propagation solving, the basis of constraint programming (CP) solvers, allows building very high-level models of problems, and using highly specific inference encapsu...
In this paper we describe a new hardware/software partitioning approach for embedded reconfigurable architectures consisting of a general-purpose processor (CPU), a dynamically re...
Yanbing Li, Tim Callahan, Ervan Darnell, Randolph ...
Abstract— Service placement is a key problem in communication networks as it determines how efficiently the user service demands are supported. This problem has been traditional...
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Background: Metabolic fluxes provide invaluable insight on the integrated response of a cell to environmental stimuli or genetic modifications. Current computational methods for e...
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Za...