We propose a flexible framework for producing highly personalized basketball video summaries, by intergrating contextural information, narrative user preferences on story pattern,...
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Abstract. In this paper, efficient and economical methods for water area detection during flood event in mountainous area is proposed. To accomplish this, various case studies were...
Preference logics and AI preference representation languages are both concerned with reasoning about preferences on combinatorial domains, yet so far these two streams of research...
Current practice in the design of application software for high-performance embedded computing systems is characterized by long development times, lack of interoperability with ot...