We examine two ways of deriving estimates of these a priori object co-occurrence probabilities: using an online social network of people storing annotated ...

Abstract. Certain components in images can be recognized with high accuracy, for example, backgrounds such as leaves, grass, snow, sky, water. These com-.

Bibliographic details on Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing.

Deriving a priori co-occurrence probability estimates for object recognition from social networks and text processing. G Pitel, C Millet, G Grefenstette.

Jun 10, 2024 · Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing. ISVC (2) 2007: 509-518.

We examine two ways of deriving estimates of these a priori object co-occurrence probabilities: using an online social network of people storing annotated ...

Deriving a Priori Co-occurrence Probability Estimates for Object. Recognition from Social Networks and Text Processing. 509. Guillaume Pitel, Christophe Millet ...

Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing · Full-text available · Conference Paper.

Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing · Guillaume PitelC. MilletG ...

We examine two ways of deriving estimates of these a priori object co-occurrence probabilities: using an online social network of people storing annotated ...