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FLAIRS
2004
13 years 9 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
PUC
2010
139views more  PUC 2010»
13 years 6 months ago
Digital plumbing: the mundane work of deploying UbiComp in the home
Deploying UbiComp in real homes is central to realizing Weiserʼs grand vision of ʻinvisibleʼ computing. It is essential to moving design out of the lab and making it into an unr...
Peter Tolmie, Andy Crabtree, Stefan Rennick Eggles...
ICPR
2000
IEEE
14 years 8 months ago
Measuring the Complexity of Classification Problems
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...
Tin Kam Ho, Mitra Basu
GRC
2008
IEEE
13 years 8 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICALT
2006
IEEE
14 years 1 months ago
Assessing the Effectiveness of Virtual Reality Technology as part of an Authentic Learning Environment
Application of Virtual Reality (VR) in training and education seems to give excellent promise in providing an alternative “real life” environment in situations where it is imp...
Ros A. Yahaya