Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Can implicit interaction with a computer easily drive useful interface improvements in physical world settings? This paper presents a case study presenting multiple such context-a...
CARD (Collaborative Analysis of Requirements and Design) is an influential technique for participatory design and participatory analysis that is in use on three continents. This p...
This work is at the intersection of two lines of research. One line, initiated by Dinur and Nissim, investigates the price, in accuracy, of protecting privacy in a statistical dat...
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...