We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
Abstract. Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system c...
Two important architectural choices underlie the success of the Web: numerous, independently operated servers speak a common protocol, and a single type of client--the Web browser...
In this paper we present a semantic theory for Concurrent ML. It consists of a new effect-based type system and a denotational model. The new type system is based on an extension o...
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...