200 search results - page 18 / 40 » Kernel density estimation in accelerators - Implementation a... |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
BMCBI
2008
13 years 9 months ago
2008
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
CG
2004
Springer
13 years 8 months ago
2004
Springer
We present a new definition of an implicit surface over a noisy point cloud, based on the weighted least squares approach. It can be evaluated very fast, but artifacts are signifi...
TIP
2008
13 years 8 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...