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NIPS
2007
15 years 4 months ago
Active Preference Learning with Discrete Choice Data
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...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
CHI
2009
ACM
15 years 7 months ago
Disambiguating ninja cursors with eye gaze
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...
Kari-Jouko Räihä, Oleg Spakov
ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
15 years 8 months ago
Hierarchical Control for Self-assembling Mobile Trusses with Passive and Active Links
— 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...
116
Voted
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 11 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
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,...
101
Voted
ISAAC
1994
Springer
80views Algorithms» more  ISAAC 1994»
15 years 6 months ago
Unifying Themes for Network Selection
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...
Sanguthevar Rajasekaran, Wang Chen, Shibu Yooseph