750 search results - page 69 / 150 » Learning SVMs from Sloppily Labeled Data |
ICCS
2005
Springer
14 years 2 months ago
2005
Springer
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
CAINE
2008
13 years 10 months ago
2008
This paper presents a novel method for learning from a labeled dataset to accurately classify unknown data. The recursive algorithm, termed Recursive Hyperspheric Classification, ...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
JAIR
2006
13 years 9 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...