238 search results - page 13 / 48 » Learning for Optical Flow Using Stochastic Optimization |
TSMC
1998
13 years 7 months ago
1998
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
DATE
2008
IEEE
14 years 2 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...