1380 search results - page 203 / 276 » Learning Hierarchical Shape Models from Examples |
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
ISBI
2009
IEEE
14 years 4 months ago
2009
IEEE
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
ICMCS
2005
IEEE
14 years 3 months ago
2005
IEEE
This paper describes a novel SOM-Wavelet Networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...