557 search results - page 21 / 112 » Learning programs from noisy data |
132
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
117
click to vote
CVPR
2007
IEEE
15 years 8 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
139
click to vote
JMLR
2012
13 years 4 months ago
2012
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
118
Voted
EUROMICRO
2003
IEEE
15 years 7 months ago
2003
IEEE
Extreme programming (XP) is the most well known agile software development method. Many experience reports have been published in recent years. Successful XP adoptions have howeve...
118
click to vote
ICMLA
2004
15 years 3 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...