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IJIG
2002
189views more  IJIG 2002»
15 years 6 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
DCG
1998
53views more  DCG 1998»
15 years 6 months ago
Motion Planning in Environments with Low Obstacle Density
We present a simple and e cient paradigm for computing the exact solution of the motionplanning problem in environments with a low obstacle density. Such environments frequently o...
A. Frank van der Stappen, Mark H. Overmars, Mark d...
GIS
1998
ACM
15 years 6 months ago
Accuracy of Local Topographic Variables Derived from Digital Elevation Models
We study the accuracy of data on some local topographic attributes derived from digital elevation models (DEMs). First, we carry out a test for the precision of four methods for ca...
Igor v. Florinsky
JMLR
2002
125views more  JMLR 2002»
15 years 6 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto
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