1416 search results - page 80 / 284 » The Kernel Least-Mean-Square Algorithm |
ECML
2003
Springer
15 years 3 months ago
2003
Springer
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
CGF
2010
14 years 10 months ago
2010
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
NIPS
2008
14 years 11 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
IDA
2007
Springer
15 years 4 months ago
2007
Springer
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
JMIV
2010
14 years 8 months ago
2010
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...