We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
Abstract. Temporal expressions—references to points in time or periods of time—are widespread in text, and their proper interpretation is essential for any natural language pro...
A significant problem in scene interpretation is efficient bottom-up extraction and representation of salient features. In this paper, we address the problem of correlating sali...
One aspect of rational behavior is that agents can pursue multiple goals in parallel. Current BDI theory and systems do not provide a theoretical or architectural framework for de...
Alexander Pokahr, Lars Braubach, Winfried Lamersdo...