We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
This paper presents a framework for understanding and constructing access methods for versioned data. Records are associated with version ranges in a version tree. A minimal repre...
Betty Salzberg, Linan Jiang, David B. Lomet, Manue...
Background: Applications of computational methods for predicting protein functional linkages are increasing. In recent years, several bacteria-specific methods for predicting link...
Anis Karimpour-Fard, Sonia M. Leach, Ryan T. Gill,...
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...