We study the problem of efficiently computing diverse query results in online shopping applications, where users specify queries through a form interface that allows a mix of stru...
Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasund...
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
Peter A. Boncz, Annita N. Wilschut, Martin L. Kers...