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NIPS
1997
15 years 7 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
WWW
2004
ACM
16 years 6 months ago
Active e-course for constructivist learning
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
Hai Zhuge, Yanyan Li
137
Voted
CEAS
2007
Springer
16 years 9 days ago
TV-ACTA: Embedding an Activity-Centered Interface for Task Management in Email
In contextual computing, where cues beyond direct user input are used to trigger computation, one of the most daunting challenges is inferring what the user is doing. For the doma...
Victoria Bellotti, Jim Thornton, Alvin Chin, Diane...
BSN
2006
IEEE
130views Sensor Networks» more  BSN 2006»
16 years 5 days ago
Sensing Muscle Activities with Body-Worn Sensors
We demonstrate that simple, unobtrusive sensors attached to the lower arm can be used to capture muscle activations during specific hand and arm activities such as grasping. Spec...
Oliver Amft, Gerhard Tröster, Paul Lukowicz, ...