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JMLR
2010
130views more  JMLR 2010»
13 years 3 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
VRST
1997
ACM
14 years 21 days ago
Real-time vision-based camera tracking for augmented reality applications
Augmented reality deals with the problem of dynamically augmenting or enhancing (images or live video of) the real world with computer generated data (e.g., graphics of virtual ob...
Dieter Koller, Gudrun Klinker, Eric Rose, David E....
FLAIRS
2004
13 years 10 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
14 years 2 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
HICSS
2008
IEEE
150views Biometrics» more  HICSS 2008»
14 years 3 months ago
Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design
We describe questions that commonly arise in early-phase user research for new technology products concerning customer needs, priorities, and market definition. We suggest that me...
Christopher N. Chapman, Edwin Love, James L. Alfor...