In pervasive computing environments, applications find themselves in constantly changing operating conditions. Such applications often need to discover locally available resources ...
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Publish-Discover-Compose paradigm of Service-Oriented Computing (SOC) presents a challenge on service applicability. Services are not just for predefined clients, rather for poten...
The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent C...