We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Ninja cursors aim to speed up target selection on large or multiple monitors. Several cursors are displayed on the screen with one of them selected as the active cursor. Eye track...
— This paper explores the space of active modular trusses, ranging from a passive truss with one independent active climbing module to fully self-reconfiguring dynamically contr...
Carrick Detweiler, Marsette Vona, Keith Kotay, Dan...
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
In this paper we present efficient deterministic and randomized algorithms for selection on any interconnection network when the number of input keys (n) is the number of processo...