This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciï...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Abstract-- Affective information is vital for effective human-tohuman communication. Likewise, human-to-computer communication could be potentiated by an "affective barometer&...
Abdul Rehman Abbasi, Matthew N. Dailey, Nitin V. A...
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...