1956 search results - page 32 / 392 » Learning the Relative Importance of Features in Image Data |
ISBI
2009
IEEE
14 years 3 months ago
2009
IEEE
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
ACCV
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
NIPS
2008
13 years 10 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
COMPLIFE
2006
Springer
14 years 9 days ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
MICCAI
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovas...